Teknoir consultants
We can help you automate your business with Teknoir and hundreds of other systems to improve efficiency and productivity. Get in touch if you’d like to discuss implementing Teknoir.
About Teknoir
Teknoir is an AI development platform built for deploying machine learning models at the edge and in the cloud. It provides the infrastructure for teams to build, train, and run AI applications without managing the underlying compute and orchestration complexity themselves. For businesses that need AI running on devices, sensors, or distributed systems — not just in a data centre — Teknoir offers a practical path to production.
The platform handles model lifecycle management, from development through deployment and monitoring. This includes container orchestration, device management, and model versioning, which are the operational tasks that often stall AI projects long after the initial proof of concept works. Teknoir packages this infrastructure so that development teams can focus on the models themselves rather than the plumbing around them.
Australian organisations building AI products or embedding intelligence into physical operations can benefit from pairing Teknoir with experienced AI agent development support. Getting models from a laptop to production — especially at the edge — requires careful architecture decisions. Working with a custom AI development partner ensures those decisions are made well, and connecting Teknoir with existing business systems through proper system integrations keeps everything running together reliably.
Teknoir is aimed at technical teams building IoT applications, computer vision systems, predictive maintenance solutions, and other AI use cases that require edge deployment. If your AI models need to run close to the data source rather than in a central cloud, this platform is worth serious consideration.
Teknoir FAQs
Frequently Asked Questions
Common questions about how Teknoir consultants can help with integration and implementation
What is edge AI deployment and why does it matter?
What types of AI models can Teknoir deploy?
Do I need a large DevOps team to use Teknoir?
Can Teknoir manage devices in remote locations?
How does model versioning work on Teknoir?
Is Teknoir suitable for prototyping or only production?
How it works
We work hand-in-hand with you to implement Teknoir
As Teknoir consultants we work with you hand in hand build more efficient and effective operations. Here’s how we will work with you to automate your business and integrate Teknoir with integrate and automate 800+ tools.
Step 1
Set Up Your Teknoir Account and Workspace
Create an account on the Teknoir platform and configure your workspace. Define your project structure and invite team members who will be involved in model development and deployment.
Step 2
Prepare and Upload Your AI Model
Build your machine learning model using your preferred framework, then package it according to Teknoir’s specifications. Upload the model to the platform for deployment preparation.
Step 3
Configure Deployment Targets
Define where your model needs to run — whether on edge devices, cloud instances, or a hybrid of both. Register your target devices or provision cloud resources through the platform.
Step 4
Deploy Your Model to Target Environments
Push your model to the configured deployment targets. Teknoir handles containerisation, orchestration, and distribution so the model runs consistently across all target environments.
Step 5
Monitor Model Performance
Use Teknoir’s monitoring tools to track model accuracy, latency, resource usage, and device health. Set up alerts for anomalies or performance degradation so you can respond quickly.
Step 6
Iterate and Update Models in Production
When you have an improved model version, deploy it through Teknoir’s versioning system. Roll out updates gradually, test against the previous version, and roll back if needed.
Transform your business with Teknoir
Unlock hidden efficiencies, reduce errors, and position your business for scalable growth. Contact us to arrange a no-obligation Teknoir consultation.