Our Software Development Labs

Redefining Digital Possibilities

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AI Consulting & Strategy

Identify opportunities for AI adoption and define a roadmap tailored to your business.

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Custom AI Development

Build machine learning models, predictive systems, and intelligent automation tools

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Computer Vision Solutions

From smart surveillance to defect detection, we bring AI eyes to machines.

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Embedded AI (Edge Inference)

Deploy optimized AI models on embedded hardware and connected devices.

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Cloud Backend & API Development

Scalable architecture, secure APIs, and cloud infrastructure for modern AI applications.

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Dashcam & Telematics Integration

End-to-end video and data processing pipelines for fleet and mobility tech.

What Our Partners Say

Our Projects

LLM Chat assistant

LLM Chat assistant

LLM Chat assistant which also keep track of your chat history until browser session is alive Server is deployed with FastAPI and nginx

Face, Fire, and Hand Detection System

Face, Fire, and Hand Detection System

Developed a real-time deep learning system to detect faces, fires, and hand gestures using custom OSN models and EfficientDet. Achieved 96.6% accuracy in face detection, 97.7% precision in fire detection, and 91.0% accuracy in hands-up gesture recognition. Built for high-performance, real-time applications in safety and surveillance.

Sorting Robot Part Recognition AI Vision Software

Sorting Robot Part Recognition AI Vision Software

Developed an AI vision system for a sorting robot using YOLOv5 to identify and classify four part types with 99.5% mAP@50 accuracy. Leveraged transfer learning, quantization, and pruning to optimize the model for real-time performance in a manufacturing environment. The solution enhanced sorting speed and precision, improving operational efficiency and reducing errors.

Smart Factory AI Solutions

Smart Factory AI Solutions

Led the development of AI solutions for smart factories, including intelligent flexible feeders, defect detection, predictive maintenance, and real-time safety monitoring. These implementations significantly improved operational efficiency, reduced downtime and defects, and enhanced worker safety. The project helped transform traditional factories into smart, automated, and data-driven environments, boosting overall productivity and competitiveness.

Breast Cancer Predicting

Breast Cancer Predicting

Invasive ductal carcinoma (IDC) is - with ~ 80 % of cases - one of the most common types of breast cancer. It's malicious and able to form metastases which makes it especially dangerous. For training, First is transferred, learnt using imagenet weights, and later finetuned. The system can predict healthy or cancerous tissues above 90%.

Aeion Backend Platform

Aeion Backend Platform

The Aeion Backend Server powers the core infrastructure behind the Aeion ecosystem. It handles authentication, role-based access control, device management, and data synchronization across mobile and web apps.

Aeion Mobile 

Aeion Mobile 

The Aeion mobile app is an intuitive companion for our AI-powered dashcams, designed to enhance driver safety and vehicle management. Through real-time cloud connectivity, users can monitor trips, access video recordings, and receive intelligent driving insights—anytime, anywhere.

FAQs

What industries do you specialize in?

We work across retail, process automation, automotive, logistics, surveillance, and
manufacturing.

Can you work with our in-house team?

Yes, we collaborate seamlessly with internal product and engineering teams.

What technologies do you use?

Python, TensorFlow, PyTorch, OpenCV, AWS, Flutter, Node.js, React.

Do you handle NDA and IP protection?

Absolutely. We sign NDAs and ensure all IP is secured contractually

What is your typical project timeline?

4–12 weeks depending on scope. We do short pilots and long-term development.