Data & Analytics

  • BigML

    BigML

    BigML is a machine learning platform that lets teams build predictive models, decision trees, clustering analyses, and anomaly detectors without writing code from scratch. It provides a visual interface for the full ML workflow: data upload, feature engineering, model training, evaluation, and deployment via API. The problem BigML addresses is accessibility. Most businesses have data that could inform better decisions (customer churn, demand forecasting, defect prediction), but they lack the data science team to build and maintain custom ML models. BigML gives analysts and developers a way to train models through a web interface or API, then deploy predictions into production applications. At Osher, we use BigML as part of broader AI agent development and automated data processing projects. A common pattern is training a classification or regression model in BigML, then calling its prediction API from an n8n workflow that processes incoming data and routes it based on model output. For example, we have built document classification systems that use ML models to categorise incoming files and route them to the correct team. See our medical document classification case study for a real-world example. BigML suits organisations that want to apply machine learning to business problems without hiring a full data science team or managing GPU infrastructure.
  • Apify

    Apify

    Apify is a web scraping and browser automation platform that lets you extract data from websites, automate browser-based tasks, and run headless browser scripts in the cloud. It provides a library of pre-built scrapers (called Actors) for popular sites like Google Maps, Instagram, Amazon, and LinkedIn, plus the ability to build custom scrapers in JavaScript or Python. Results are delivered via API, webhooks, or direct download in formats like JSON, CSV, and Excel. The problem Apify solves is manual data collection from the web. If your team spends time copying information from websites into spreadsheets, monitoring competitor pricing, gathering business listings, or collecting public reviews, Apify automates that work. It runs scraping tasks on a schedule, handles pagination and anti-bot measures, and delivers clean, structured data ready for analysis or import into your business systems. At Osher, we use Apify as a data source within larger automated workflows built in n8n. A typical setup runs an Apify Actor on a schedule, collects the scraped data via API, transforms it into the right format, and loads it into your CRM, database, or analytics tool automatically. We have built Apify-powered pipelines for competitor price monitoring, lead generation from Google Maps listings, and market research data collection. If you need to extract data from the web at scale, our automated data processing team can design a scraping pipeline that feeds directly into your existing systems. See our BOM weather data pipeline case study for an example of how we build data extraction workflows.
  • Outscraper

    Outscraper

    Outscraper is a data extraction service focused on Google Maps, Google Search, and Google Reviews. It lets you pull structured business data (company names, addresses, phone numbers, websites, ratings, reviews) from Google’s platforms through a web interface or REST API. Unlike general-purpose web scrapers, Outscraper is built specifically for extracting Google data at scale, handling Google’s anti-bot protections and delivering clean, structured results. The problem Outscraper solves is manual lead research and market data collection. Sales teams that spend hours searching Google Maps for potential clients, marketing teams that manually track competitor reviews, and research teams that need business listings for specific locations or industries can all automate that work with Outscraper. You define your search parameters (business type, location, keywords), and Outscraper returns a structured dataset of matching businesses with their details and reviews. At Osher, we integrate Outscraper into automated lead generation and market research pipelines using n8n. A typical workflow runs Outscraper queries on a schedule, deduplicates the results against your existing database, enriches each record with additional data points, and loads qualified leads directly into your CRM. We have also built review monitoring systems that track competitor Google Reviews and alert you to changes in rating or review volume. If you need Google data feeding into your business systems automatically, our automated data processing team can build the pipeline. See our talent marketplace case study for an example of how we build data processing workflows.
  • Omeda

    Omeda

    Omeda is a customer data platform (CDP) built for media and publishing companies. It unifies audience data from subscriptions, email engagement, website behaviour, event attendance, and advertising interactions into a single customer profile. Publishers use it to manage paid and controlled circulation, segment audiences for targeted campaigns, and generate revenue reports across print, digital, and event channels. The problem Omeda solves is fragmented audience data. Media companies typically have subscriber lists in one system, email engagement data in another, website analytics in a third, and event registrations in a fourth. This makes it difficult to understand who your audience actually is, what content they consume, and how to reach them effectively. Omeda consolidates all of these data sources into unified profiles, giving you a single view of each audience member across every channel. At Osher, we integrate Omeda with marketing automation tools, content management systems, and analytics platforms using n8n. A common setup syncs Omeda audience segments with your email marketing platform so campaigns target the right people based on their full cross-channel behaviour, not just email opens. We also build workflows that push Omeda data into business intelligence tools for revenue reporting and audience analysis. If your organisation manages audiences across multiple channels and needs a unified view of your subscribers, our automated data processing team can integrate Omeda with your existing marketing and analytics stack.
  • Fusioo

    Fusioo

    Fusioo is a cloud-based work management platform that lets teams build custom business applications without writing code. You create apps by defining data fields, relationships between records, and workflow rules, then your team uses those apps to track projects, manage clients, process orders, or handle any structured business process. It functions as a flexible operational database with a visual interface, sitting between spreadsheets and custom-built software. The core problem Fusioo addresses is the cost and delay of custom software. When your processes are too complex for spreadsheets but too specific for off-the-shelf tools, you typically face a choice between expensive custom development or forcing your workflow into software that was not designed for it. Fusioo lets you build exactly the application you need using drag-and-drop fields, relationship links, and automation rules, then modify it as your process changes. At Osher, we integrate Fusioo into broader business workflows using n8n. A typical integration connects Fusioo’s custom apps with your email, accounting software, CRM, or project management tools so that data moves between systems automatically. For example, when a new client record is created in Fusioo, an n8n workflow can create a matching contact in your CRM, send a welcome email, and set up a project folder in Google Drive. If you need a custom operational system without the cost of bespoke development, our business automation team can design and build Fusioo applications that fit your exact workflow.
  • Ninox

    Ninox

    Ninox is a cloud and desktop database platform that lets teams build custom business applications using a visual editor and a built-in scripting language. It supports custom forms, relational data, calculated fields, file attachments, charts, and role-based access controls. Unlike spreadsheet-based tools, Ninox gives you a proper relational database with a formula language powerful enough to handle complex business logic, while keeping the interface accessible to non-developers. The problem Ninox solves is the gap between simple tools like spreadsheets and expensive custom software. Businesses that need to track inventory, manage projects, process orders, or handle client records often start with Excel or Google Sheets, then hit limitations around data integrity, relational linking, and multi-user access. Ninox provides those database capabilities with a drag-and-drop interface, plus a scripting language (NX) for building calculated fields, triggers, and custom actions that would require a developer in most other tools. At Osher, we integrate Ninox with other business systems using n8n and Ninox’s REST API. We build workflows that sync Ninox data with accounting platforms, push notifications when records change, generate documents from Ninox data, and pull information from external APIs into Ninox databases. Ninox also runs offline on iPad and Mac, which makes it useful for field teams that need to capture data without reliable internet. If you need a custom database application without the cost of bespoke software development, our custom development team can design and build Ninox solutions that fit your specific operations.
  • Salesmaa

    Salesmaa

    Salesmaa is a sales engagement platform that automates outbound prospecting, follow-up sequences, and pipeline tracking for sales teams. It combines contact management with automated email sequences, call logging, and deal tracking in a single interface, so reps spend less time on admin and more time closing. The core problem Salesmaa solves is fragmented sales tooling. Most small and mid-sized sales teams juggle a CRM, a separate email tool, a dialler, and a spreadsheet for pipeline tracking. Salesmaa consolidates these into one platform with built-in automation: you set up email sequences that trigger based on prospect behaviour, log calls automatically, and move deals through pipeline stages without manual data entry. At Osher, we connect Salesmaa to the rest of your tech stack so data flows automatically between your sales platform, marketing tools, and reporting systems. Using n8n, we build workflows that sync Salesmaa contacts with your email marketing platform, push closed deals to your invoicing system, and send pipeline updates to Slack or Teams. If your sales process involves repetitive manual steps, our sales automation team can design workflows that remove the busywork and keep your CRM data accurate without requiring reps to update records manually.
  • Retable

    Retable

    Retable is a spreadsheet-database hybrid that lets teams manage structured data with the flexibility of a spreadsheet and the power of a relational database. It supports custom field types, linked records, form views, kanban boards, and calendar views, making it a practical alternative to Airtable for teams that need to organise and share operational data without building a full database application. The problem Retable addresses is the gap between spreadsheets and proper databases. Teams outgrow Google Sheets when they need features like dropdown menus with controlled vocabularies, linked records between tables, or multiple views of the same dataset. But building a custom database application is expensive and slow. Retable sits in the middle: you get structured data with validation rules, relational linking, and multiple view types, without needing a developer to set it up. At Osher, we integrate Retable with other business tools using n8n so that data stays synchronised across your operations. Common setups include syncing Retable records with a CRM, pushing form submissions from Retable into a project management tool, or generating reports from Retable data in Google Sheets. We also build automations that trigger when records change, such as sending notifications when a task moves to a new status or creating calendar events when deadlines are set. If your team has outgrown spreadsheets but does not need a full custom application, our automated data processing team can help you set up Retable with the right integrations.
  • Token Metrics

    Token Metrics

    Token Metrics is an AI-powered cryptocurrency analytics platform that provides data-driven ratings, price predictions, and portfolio analysis for digital assets. Rather than relying on social media hype or gut feel for crypto investment decisions, Token Metrics uses machine learning models trained on historical price data, on-chain metrics, and technical indicators to generate quantitative assessments of tokens and coins. The core problem Token Metrics addresses is information overload in crypto markets. With thousands of tokens, constant price volatility, and an endless stream of conflicting opinions, investors need a systematic way to evaluate opportunities. Token Metrics provides AI-generated ratings, trader and investor grades, price forecasts, and portfolio allocation suggestions based on quantitative analysis rather than sentiment. Key features include: AI-generated token ratings and price predictions Trader grade (short-term) and investor grade (long-term) scores for each token Portfolio analysis with risk-adjusted allocation recommendations Technical analysis indicators and pattern recognition On-chain data analysis and whale activity tracking AI-powered market sentiment analysis API access for integrating Token Metrics data into custom dashboards Token Metrics serves crypto traders, fund managers, and fintech companies that need systematic analysis at scale. At Osher Digital, our automated data processing team helps financial services clients integrate Token Metrics data feeds into their existing analytics dashboards and reporting systems via API, so crypto market intelligence sits alongside their other data sources.
  • Syncly

    Syncly

    Syncly is an AI-powered customer feedback analysis platform that automatically categorises and surfaces insights from support tickets, chat logs, emails, surveys, and reviews. Instead of manually reading through thousands of customer messages to spot trends, Syncly uses AI to tag feedback by topic, detect sentiment shifts, and flag emerging issues before they become widespread problems. The problem Syncly solves is that most businesses collect plenty of customer feedback but struggle to act on it systematically. Support tickets pile up, NPS survey responses sit in spreadsheets, and product teams rely on anecdotal reports rather than data. Syncly consolidates all that feedback into a single dashboard, applies AI categorisation, and shows you exactly which issues are growing, which are resolved, and which segments of your customer base are most affected. Key features include: Automatic categorisation of customer feedback across all channels Sentiment analysis with trend detection over time Integration with support tools (Zendesk, Intercom, Freshdesk), CRMs, and survey platforms Real-time alerts when negative sentiment spikes on specific topics Customer health scoring based on feedback patterns Visual dashboards showing feedback trends by category, product, or customer segment Syncly is particularly useful for product teams, customer success managers, and operations leaders who need to understand what customers are actually saying at scale. At Osher Digital, our automated data processing team connects Syncly to your existing support stack so feedback insights flow directly into product planning tools and executive dashboards without manual reporting.
  • Nyckel

    Nyckel

    Nyckel is a machine learning API that lets developers build and deploy custom classification models without needing data science expertise. You provide labelled examples (images, text, or tabular data), Nyckel trains a model automatically, and you get an API endpoint you can call from your application within minutes rather than months. The problem Nyckel solves is the gap between wanting ML classification and actually building it. Training a custom image classifier or text categorisation model traditionally requires a data scientist, significant compute resources, and weeks of development time. Nyckel compresses that process: you upload training samples through a web interface or API, the platform handles model selection, training, and hosting, and you get a production-ready endpoint immediately. Key features include: Custom image, text, and tabular data classification models No-code web interface plus a full REST API for developer integration Models train in minutes from as few as a handful of labelled examples Automatic model improvement as you add more training data over time Hosted inference API with built-in scaling Semantic search and content moderation functions Pay-per-invocation pricing with no upfront model training costs Nyckel is used by development teams that need to add classification to their products quickly: content moderation, document sorting, product categorisation, image tagging, and similar tasks. At Osher Digital, our custom AI development team integrates Nyckel into client applications and automation pipelines, connecting its classification API to business workflows where sorting or categorising data manually creates bottlenecks. We used similar classification approaches in our medical document classification project.
  • Read AI

    Read AI

    Read AI is a meeting intelligence platform that uses AI to transcribe, summarise, and analyse virtual meetings across Zoom, Google Meet, Microsoft Teams, and Webex. Instead of manually taking notes or trying to remember what was discussed, Read AI joins your meetings and produces structured summaries, action items, and engagement analytics automatically. The problem Read AI addresses is the amount of meeting time that gets wasted or poorly captured. Most teams spend hours in meetings each week, but the outcomes (decisions made, actions assigned, key points raised) often live only in someone’s memory or scattered notes. Read AI captures everything, generates summaries with key topics and action items, and measures engagement metrics like talk time distribution and participant sentiment. At Osher, we integrate Read AI into broader productivity and data workflows through our business automation services. Common projects include connecting Read AI outputs to project management tools (so action items automatically create tasks in Jira or Asana), feeding meeting summaries into CRM records for sales call tracking, and building analytics dashboards that track meeting patterns across teams. For organisations looking to build custom meeting intelligence features, our AI agent development team can extend Read AI’s capabilities with custom processing pipelines. We’ve done similar work extracting structured data from unstructured sources, as detailed in our patient data entry automation case study.
  • Voicit

    Voicit

    Voicit is an AI-powered transcription and subtitling tool that converts audio and video content into accurate text. If your team records meetings, produces podcasts, creates training videos, or handles multilingual content, Voicit automates the tedious manual transcription work that would otherwise take hours. The problem Voicit addresses is simple but expensive: manual transcription is slow and outsourcing it costs real money per audio minute. Voicit uses speech recognition models to transcribe recordings quickly, with support for multiple languages, speaker identification, and customisable vocabulary for industry-specific terminology. The output can be exported as subtitles (SRT/VTT), plain text transcripts, or formatted documents. Key features include: Automated transcription with speaker diarisation (identifying who said what) Multi-language transcription and translation support Subtitle generation in SRT, VTT, and other standard formats Custom vocabulary for technical or industry-specific terms Collaborative editing workspace for transcript review Integration with video editing software for subtitle overlay Voicit is particularly useful for media production teams, legal and compliance departments that need meeting records, and training organisations producing accessible video content. At Osher Digital, our automated data processing team helps businesses connect Voicit to their broader content pipelines, so transcripts automatically flow into CMS platforms, search indexes, or compliance archives without manual file shuffling.
  • WatchSignals

    WatchSignals

    WatchSignals is a data platform focused on the luxury watch market. It tracks pricing, market trends, and inventory data across watch brands and models, providing structured market intelligence for dealers, retailers, investors, and brands operating in the secondary and primary watch markets. The problem WatchSignals addresses is that the luxury watch market has historically been opaque. Pricing varies between dealers, market values shift based on supply and demand trends, and there’s no centralised exchange providing real-time data. WatchSignals aggregates pricing data from multiple sources, tracks historical price movements, and provides market analytics that help dealers price inventory accurately, brands monitor market positioning, and investors track asset performance. At Osher, we work with WatchSignals as part of our automated data processing projects. For clients in retail, luxury goods, or investment sectors, we connect WatchSignals data feeds to internal pricing systems, inventory management platforms, and business intelligence dashboards. This allows teams to make pricing decisions based on current market data rather than gut feel. Our system integration team handles the API connections and data pipeline setup, while our AI consulting practice can layer predictive pricing models on top of the raw market data.
  • Easyship

    Easyship

    Easyship is a shipping management platform that connects e-commerce businesses with courier services worldwide, offering rate comparison, label generation, customs documentation, and shipment tracking from a single dashboard. For Australian businesses selling online — whether domestically, to New Zealand, or internationally — Easyship aggregates rates from Australia Post, Sendle, DHL, FedEx, and dozens of other carriers so you can pick the cheapest or fastest option for each order. The pain point Easyship addresses is the manual overhead of shipping at scale. When you’re fulfilling ten orders a day, copying addresses and printing labels by hand is annoying but manageable. At fifty or a hundred orders, it’s unsustainable. You need rates compared automatically, labels generated in bulk, customs forms populated from product data, and tracking numbers pushed back to your store so customers can follow their parcels. We integrate Easyship with your e-commerce platform, inventory system, and customer communication tools using n8n and API connections. When an order comes in through Shopify, WooCommerce, or your custom store, the workflow selects the best carrier based on rules you define, generates the label, and sends the tracking number to both your store and the customer. If you’re looking to automate your fulfilment process as part of a broader system integration, Easyship is a strong middle layer between your store and your carriers.
  • Planview Leankit

    Planview Leankit

    Planview LeanKit is a visual work management platform built around kanban boards. It’s used by engineering, IT, and operations teams to visualise work in progress, manage flow, and identify bottlenecks across projects and value streams. Unlike simpler kanban tools like Trello, LeanKit is designed for enterprise-scale work management with features like multi-level board hierarchies, WIP limits, cycle time analytics, and portfolio-level reporting. The challenge with LeanKit — as with any project management tool — is that it works best when it reflects reality. When cards need to be created manually from emails, updated by hand after deployments, or cross-referenced with Jira tickets in a separate browser tab, the board drifts out of sync with what’s actually happening. Teams stop trusting it, and the tool that was supposed to provide visibility becomes another thing to maintain. We integrate Planview LeanKit with your development tools, ticketing systems, and operational workflows using n8n. When a Jira ticket is created, a corresponding LeanKit card can appear automatically. When a deployment finishes, the card moves to the ‘done’ column without someone dragging it manually. Cycle time and throughput data can flow into your reporting dashboards. If your team uses LeanKit for workflow visibility and wants to keep it connected to your broader n8n automation setup, that’s what we build.
  • Faros

    Faros

    Faros is an engineering operations platform that pulls data from across your development toolchain (Jira, GitHub, GitLab, PagerDuty, CI/CD pipelines) and unifies it into a single analytics layer. Instead of manually stitching together spreadsheets to understand deployment frequency, cycle time, or incident response, Faros gives engineering leaders a consolidated view of how their teams actually ship software. The core problem Faros solves is visibility. Most engineering organisations run dozens of tools, and each one holds a fragment of the picture. Faros connects to these tools through pre-built connectors, normalises the data, and surfaces metrics like DORA (deployment frequency, lead time, change failure rate, mean time to recovery). This makes it useful for engineering managers tracking team performance, CTOs reporting to the board, and platform teams identifying bottlenecks in the delivery pipeline. At Osher, we work with Faros as part of our system integration projects. When clients have fragmented dev toolchains with data sitting in silos, we connect Faros to their existing stack and build dashboards that give leadership real answers about engineering throughput. For teams already using n8n or similar automation platforms, we can also pipe Faros metrics into automated alerting workflows through our automated data processing services.
  • Qualaroo

    Qualaroo

    Qualaroo is a customer feedback and survey tool that lets you collect responses from website visitors, app users, and email recipients at specific moments in their journey. Unlike generic survey tools that send a link and hope for the best, Qualaroo uses targeted ‘nudges’ — small surveys that appear based on user behaviour, page visited, time on site, or scroll depth — to ask the right question at the right time. The problem with most feedback setups is that the data sits in the survey tool. Your product team collects NPS scores in Qualaroo, but the responses never reach your CRM. A customer flags a problem in a survey, but your support team doesn’t find out until someone manually checks the results. Marketing runs exit-intent surveys, but the insights don’t feed back into campaign targeting. The feedback exists, but it’s disconnected from the teams and systems that should act on it. We integrate Qualaroo with your CRM, support desk, analytics, and notification systems using n8n workflows. When a customer submits feedback, the response can update their CRM record, create a support ticket if sentiment is negative, tag them for specific marketing segments, or alert your team in Slack. If you’re collecting customer feedback and want it to actually drive action across your automated data processing workflows, connecting Qualaroo to your stack is where the value is.
  • Amazon

    Amazon

    Amazon’s ecosystem extends well beyond online shopping. Between Amazon Web Services (AWS), Seller Central, advertising APIs, and fulfilment networks, most Australian businesses interact with at least one Amazon service — often without a clear plan for how data moves between those services and internal systems like CRMs, ERPs, or accounting platforms. The common pain point is fragmentation. Orders come in through one channel, inventory updates happen in another, and financial reconciliation becomes a manual, error-prone task. For businesses selling on the Amazon Marketplace, keeping stock levels accurate across multiple channels is a constant headache. For teams using AWS, connecting cloud infrastructure to business workflows often requires custom development that sits outside anyone’s core skill set. At Osher Digital, we build system integrations that connect Amazon’s services to your existing tools using n8n and direct API connections. That might mean syncing Seller Central orders with your inventory and accounting systems in real time, or piping AWS data into dashboards your team actually uses. The goal is always the same: fewer manual steps, fewer errors, and a clear picture of what’s happening across your Amazon operations.
  • Route4Me

    Route4Me

    Route4Me is a route optimisation platform that helps delivery, field service, and logistics teams plan efficient multi-stop routes. If your drivers are currently plotting routes manually or relying on Google Maps for complex delivery runs, you’re likely burning fuel and hours that better planning would save. The real value of Route4Me shows up when it’s connected to the rest of your operations. On its own, it optimises routes. Connected to your order management system, CRM, or dispatch tools, it becomes part of an automated workflow where new orders trigger route updates, drivers get real-time schedule changes on their phones, and customers receive accurate delivery windows without anyone sending a manual text. At Osher Digital, we integrate Route4Me with your existing business systems using n8n and API connections. We’ve worked with Australian logistics and field service companies to build workflows that pull orders from platforms like Shopify, WooCommerce, or custom ERPs, feed them into Route4Me for optimisation, and push the results back to driver apps and customer notification systems. If you’re running a fleet and want your business automation to extend all the way to the last mile, that’s where we come in.
  • Pipefy

    Pipefy

    Pipefy is a business process management platform that lets teams build and automate workflows using a visual, card-based interface. Think of it as a structured Trello — items move through defined stages with rules, automations, and approvals attached at each step. It’s used for processes that need more structure than a simple task board but don’t justify a custom-built application. Common use cases include employee onboarding, purchase requests, IT service requests, customer onboarding, and any internal process where work follows a predictable path through multiple steps. Pipefy handles the routing, notifications, SLA tracking, and data collection at each stage, so nothing gets lost or stuck waiting for someone to remember to check a spreadsheet. The platform is no-code, meaning operations teams and department managers can build their own workflows without waiting for IT or developers. Forms collect the initial request, cards track progress through stages, automations handle repetitive steps (like sending approval emails or updating connected systems), and dashboards show where things stand across all active requests. Where we add value is connecting Pipefy to the rest of your business systems. Using n8n, we build integrations between Pipefy and your HR platform, accounting system, CRM, or project management tools — so a completed onboarding workflow in Pipefy automatically creates accounts in your other systems, or an approved purchase request triggers an order in your procurement tool. If your team manages structured processes across spreadsheets and email, our RPA services can help you move them into Pipefy and connect them to everything else.
  • Raven Tools

    Raven Tools

    Raven Tools is a digital marketing reporting platform aimed at SEO professionals and marketing agencies. It pulls data from Google Analytics, Google Search Console, Google Ads, social media platforms, and its own site auditing engine into one place, then lets you build white-label reports that can be scheduled and sent to clients automatically. The core use case is agency reporting. If you’re managing SEO or digital marketing for multiple clients, you need to pull performance data from several sources, combine it into a coherent report, and send it out regularly. Doing this manually across a dozen clients eats hours every week. Raven Tools automates the data collection and report assembly, so you spend time on analysis and recommendations rather than copying numbers between tabs. Raven Tools also includes a site auditor that crawls websites for technical SEO issues — broken links, missing meta tags, slow page speeds, redirect chains, and similar problems. The audit results feed into your reports alongside ranking data and traffic metrics, giving clients a complete picture of their SEO health. For agencies and in-house marketing teams that need reporting data flowing into other systems — CRMs, project management tools, or custom dashboards — we can connect Raven Tools to the rest of your stack using n8n. If you’re manually building marketing reports every month and want that time back, our automated data processing services can help you set up a reporting workflow that runs itself.
  • Accelo

    Accelo

    Accelo is a business management platform built specifically for professional services firms — agencies, consultancies, IT providers, accountants, and similar businesses that bill for their time and expertise. It combines project management, time tracking, client communication, quoting, invoicing, and retainer management in one system, replacing the patchwork of spreadsheets, email, and disconnected tools that most services firms cobble together. The core problem Accelo addresses is visibility. In a typical services business, project status lives in one tool, time tracking in another, invoices in a third, and client emails in everyone’s inbox. Nobody has a clear picture of profitability per client, how much time is being written off, or which projects are running over budget. Accelo connects all of these into a single view, so business owners and project managers can see what’s actually happening rather than guessing. Accelo is Australian-founded (originally from Sydney), which means it handles GST, AUD billing, and Australian business workflows natively — something that trips up US-centric alternatives. It also has a built-in client portal, automatic email capture that links conversations to the right client and project, and retainer tracking that shows utilisation against agreed hours. We connect Accelo to other systems using n8n — syncing with accounting packages like Xero, pushing project updates to Slack, or pulling sales data from your CRM. If your services firm is losing track of billable hours or can’t see project profitability clearly, our integration services can help you get Accelo working with the rest of your stack.
  • WhatConverts

    WhatConverts

    WhatConverts is a lead tracking and marketing attribution platform that tells you exactly which marketing channels, campaigns, and keywords are generating your phone calls, form submissions, and live chat conversations. It answers the question every business owner asks their marketing agency: “Where are my leads actually coming from?” The problem WhatConverts solves is attribution blindness. Most businesses know how many leads they’re getting, but they can’t tell you which Google Ads campaign, which landing page, or which organic keyword drove each one. Without that information, marketing spend gets allocated on gut feel rather than data. WhatConverts tracks leads across phone calls (using dynamic number insertion), web forms, live chats, and e-commerce transactions, tying each one back to the source. Call tracking is the standout feature. WhatConverts assigns unique phone numbers to different marketing channels and swaps them dynamically on your website based on how each visitor arrived. When someone calls, you know whether they came from Google Ads, organic search, Facebook, or a direct visit. Calls can be recorded and transcribed, and leads can be qualified and valued directly in the platform. We connect WhatConverts to CRMs and reporting dashboards using n8n, so lead data flows automatically into Salesforce, HubSpot, or whatever your sales team uses. If you’re spending money on marketing but can’t tie specific leads back to specific campaigns, our sales automation services can help you get proper attribution in place.
  • Google Cloud

    Google Cloud

    Google Cloud is one of the three major cloud platforms, alongside AWS and Azure. It gives businesses access to compute, storage, databases, machine learning APIs, and data analytics tools — all running on the same infrastructure Google uses for Search, Gmail, and YouTube. The problem most Australian businesses face with Google Cloud isn’t getting started — it’s knowing which services to actually use. With hundreds of products across compute (Compute Engine, Cloud Run, GKE), data (BigQuery, Cloud SQL, Firestore), and AI (Vertex AI, Document AI, Vision API), it’s easy to overspend on services you don’t need or miss the ones that would save you the most time. Where Google Cloud really stands out is in data and AI. BigQuery can process terabytes of data in seconds without managing any infrastructure, and Vertex AI lets you deploy machine learning models without building everything from scratch. For businesses already using Google Workspace, the integration is straightforward. We connect Google Cloud services into automated workflows using n8n, pulling data from BigQuery, triggering Cloud Functions, or feeding documents through Document AI — then routing the results into your CRM, accounting system, or reporting dashboards. If you’re looking to get more from Google Cloud without hiring a full platform team, our integration services can help you build something practical.
  • GoCanvas

    GoCanvas

    GoCanvas is a mobile forms and data collection platform that replaces paper-based field processes with digital forms on phones and tablets. Field workers fill out inspections, work orders, safety checklists, and job reports on their device, and the data is available immediately in the back office — no more waiting for handwritten forms to be driven back, scanned, or manually re-entered. The platform is particularly popular in construction, property maintenance, field services, and any industry where people collect information on-site. GoCanvas forms can include photos, GPS coordinates, digital signatures, conditional logic, and calculations, so the data that comes back is richer and more consistent than what you’d get from paper. The real value shows up when GoCanvas is connected to the rest of your systems. On its own, GoCanvas collects data. Connected to your job management software, accounting system, or reporting tools, it becomes the starting point for automated workflows — a completed inspection form can trigger an invoice, a failed safety check can create a corrective action task, and daily field reports can feed straight into project dashboards. We build these connections using n8n, linking GoCanvas submissions to platforms like Xero, MYOB, Airtable, or whatever your team uses in the office. If your field teams are still juggling paper or disconnected apps, our data processing services can help you digitise the whole chain from field to office.
  • RAWG Video Games Database

    RAWG Video Games Database

    RAWG is a video game database and discovery API with data on over 500,000 games across PC, console, and mobile platforms. It provides structured information including game metadata, release dates, platforms, genres, ratings, screenshots, and system requirements, all accessible through a free REST API. For developers building gaming-related apps, content sites, or recommendation engines, RAWG’s API removes the need to manually curate game data. You can pull game details by ID, search by name, filter by platform or genre, and access community ratings. The API returns clean JSON that is straightforward to parse and integrate. In an n8n workflow, RAWG works well as a data source for content automation. You could build workflows that monitor new releases in specific genres, pull game data to populate a website or newsletter, or cross-reference your product catalogue with RAWG metadata. If you need to connect RAWG data with your content management system, ecommerce platform, or internal tools, our automated data processing services can help structure that pipeline.
  • ScrapeNinja

    ScrapeNinja

    ScrapeNinja is a web scraping API that handles the hard parts of extracting data from websites: JavaScript rendering, anti-bot detection, proxy rotation, and CAPTCHA challenges. You send it a URL, and it returns the page content as HTML or plain text, ready for parsing. Unlike browser-based scraping tools that you run yourself, ScrapeNinja is a cloud API. You make an HTTP request with the target URL and your configuration options, and it fetches the page using residential proxies and real browser rendering. This means it works on sites that block simple HTTP requests or require JavaScript to load content. In an n8n workflow, ScrapeNinja is useful for monitoring competitor pricing, tracking product availability, pulling data from sites without APIs, or aggregating content from multiple sources. You call the ScrapeNinja API from an HTTP Request node, parse the returned HTML, and route the extracted data wherever it needs to go. If you need to build a data collection pipeline that pulls from websites and feeds into your business systems, our automated data processing team can help you set it up.
  • Samsung SmartThings

    Samsung SmartThings

    Samsung SmartThings is an IoT platform that connects and controls smart home and commercial building devices from a single hub. It supports thousands of devices across brands, including lights, locks, sensors, thermostats, cameras, and appliances, letting you monitor and automate them through one app or API. SmartThings works with Zigbee, Z-Wave, Wi-Fi, and Matter protocols, so you are not locked into a single device manufacturer. Its automation engine lets you create routines triggered by time, device state, or sensor readings, for example turning off lights when a room is unoccupied or sending an alert when a water leak sensor triggers. For businesses managing office environments, retail spaces, or rental properties, SmartThings can be connected to n8n and other automation platforms via its API and webhooks. This lets you feed sensor data into business workflows, trigger alerts in Slack or email, log environmental data, or coordinate device actions with your operational systems. If you want to connect SmartThings data to your business tools, our system integration team can build the bridge.
  • Verifalia

    Verifalia

    Verifalia is an email verification and validation service that checks whether email addresses are real, properly formatted, and able to receive mail. If your business sends transactional emails, marketing campaigns, or automated notifications, invalid addresses cost you money through bounced sends, damage your sender reputation, and skew your reporting data. The Verifalia API accepts single or bulk email lists and returns detailed validation results, including whether each address exists, is a disposable inbox, a role address (like info@ or admin@), or has syntax errors. It connects directly to mail servers to confirm deliverability rather than relying on pattern matching alone. For businesses running automated workflows through n8n, Verifalia fits into lead capture pipelines, CRM data hygiene routines, and email campaign pre-send checks. You can trigger validation when a new form submission arrives, before syncing contacts to your email platform, or on a scheduled basis to clean existing databases. If you need help connecting Verifalia to your CRM, marketing tools, or n8n workflows, our system integration services can get it set up properly.
  • Totango

    Totango

    Totango is a customer success platform designed for SaaS and subscription businesses that need to track customer health, reduce churn, and find expansion opportunities inside their existing accounts. Rather than relying on gut feel, Totango aggregates usage data, support tickets, billing information, and CRM records into a single customer health score. The platform uses “SuccessPlays” — automated playbooks that trigger specific actions when a customer’s health score changes. If a key account stops logging in, a SuccessPlay can alert the account manager and queue a check-in email. If usage spikes after onboarding, a different play can trigger an upsell conversation. This turns reactive customer management into something more structured and repeatable. Totango integrates with CRMs like Salesforce and HubSpot, support platforms like Zendesk, and billing tools like Stripe. Through n8n, you can extend these integrations further — syncing health scores to custom dashboards, triggering workflows in other systems based on segment changes, or pushing Totango data into a data warehouse. Our integration team can connect Totango to whatever your customer success team actually uses day-to-day.
  • Big Data Cloud

    Big Data Cloud

    Big Data Cloud is an Australian-based API platform that provides geolocation, IP intelligence, and reverse geocoding services. If your application needs to know where a user is based on their IP address, convert GPS coordinates to a street address, or look up timezone and network information, Big Data Cloud offers a set of REST APIs that handle these lookups. The API suite includes IP geolocation (mapping IP addresses to countries, cities, and postcodes), reverse geocoding (turning latitude/longitude pairs into human-readable addresses), timezone detection, and ASN (Autonomous System Number) lookups for network analysis. There is a free tier for testing and low-volume use, with paid plans for production workloads. Because Big Data Cloud is API-first, it fits cleanly into n8n workflows using HTTP request nodes. You can enrich incoming leads with location data, personalise content based on visitor geography, flag suspicious login locations for fraud detection, or add address information to records that only have coordinates. For Australian businesses, having an Australian-based provider can simplify data residency conversations. Talk to us about data enrichment workflows using Big Data Cloud.
  • Kibana

    Kibana

    Kibana is the visualisation and dashboarding layer of the Elastic Stack (Elasticsearch, Logstash, Kibana, Beats). It connects directly to Elasticsearch and lets you build interactive dashboards, run ad-hoc queries, create alerts, and explore log, metric, and event data through a web interface. If your organisation uses Elasticsearch for log management, application monitoring, or security analytics, Kibana is how most teams actually interact with that data. The practical challenge with Kibana is that it sits in its own silo. Your dashboards and alerts live inside Kibana, but the actions you need to take based on those insights, like creating a support ticket, notifying a team, or updating a record in another system, happen elsewhere. That gap between “seeing a problem in Kibana” and “doing something about it” is where automation comes in. By connecting Kibana and Elasticsearch to n8n, you can build workflows that query Elasticsearch directly, process the results, and trigger actions in other systems. For example, pull error log counts from Elasticsearch hourly and send a Slack alert if they spike, or query application performance metrics and create a PagerDuty incident when latency exceeds a threshold. If you want to turn your Elastic Stack data into automated responses rather than just dashboards, our system integrations team can help you build those connections.
  • MIST

    MIST

    Mist (now part of Juniper Networks) is a cloud-managed wireless networking platform that uses AI to monitor, optimise, and troubleshoot enterprise Wi-Fi, wired, and WAN infrastructure. Mist’s key differentiator is its AI-driven approach: the platform collects telemetry from access points and switches, analyses it with machine learning, and automatically identifies root causes of connectivity issues rather than just flagging symptoms. For IT operations teams, the challenge with wireless infrastructure is that problems are intermittent and hard to diagnose. A user reports slow Wi-Fi, but by the time IT investigates, the issue has resolved itself. Mist’s AI engine (called Marvis) correlates events across the network to pinpoint the actual cause, whether it is a rogue AP, a DHCP failure, an interference source, or a client-side driver issue. Integrating Mist with n8n through its REST API and webhooks lets you connect network events to your operational workflows. You can build automations that create IT support tickets when Mist detects a recurring connectivity problem, send Slack alerts when a site’s wireless health score drops, sync network asset data with your CMDB, or generate weekly network performance reports. If your IT team spends time manually monitoring network health dashboards and copying data between systems, our automated data processing services can help automate those workflows.
  • Shuffler

    Shuffler

    Shuffler is an automation and integration platform built for security operations (SecOps) and IT teams. It focuses on security orchestration, automation, and response (SOAR), letting you connect security tools, automate incident response playbooks, and coordinate actions across your security stack from a single interface. Shuffler is open-source, which means you can self-host it and inspect the code running your security automations. The problem Shuffler solves is that security teams juggle too many tools that do not talk to each other. A SIEM flags a suspicious login, but someone has to manually check the IP in a threat intelligence feed, look up the user in Active Directory, and decide whether to block the account. Those manual steps take time, and time is critical during a security incident. Shuffler lets you build workflows that chain those steps together automatically. Connecting Shuffler to n8n gives you the option of extending security automation beyond Shuffler’s built-in capabilities. You can trigger Shuffler playbooks from n8n workflows, pass enriched data between the two platforms, or use n8n to handle integrations that Shuffler does not natively support (like updating a Google Sheet, sending a Teams message, or pushing data to a custom API). For organisations looking to automate their security and IT operations workflows, our business automation services cover both platforms.
  • crowd.dev Trigger

    crowd.dev Trigger

    The crowd.dev Trigger node in n8n fires your automation workflows whenever new community activity is detected in crowd.dev, an open-source platform that aggregates developer community data from GitHub, Discord, Slack, and other sources into a single view. If you run a developer-focused product, community engagement is a leading indicator for product adoption, churn risk, and expansion opportunities. The problem is that this activity is scattered across platforms. Someone opens an issue on GitHub, another person asks a question in Discord, and a third posts in your Slack community. crowd.dev pulls all of that together, and the Trigger node in n8n lets you act on it automatically. Practical uses include alerting your team when a new high-value community member signs up, creating CRM records when someone from a target account engages in your community, or tracking activity trends to identify potential advocates. The node watches for new members, new activities, and new organisations appearing in your crowd.dev data, then passes the details into whatever n8n workflow you have built. For teams that want to connect community signals to their sales and product workflows, see our system integrations services.