Frugal AI for the Industrial Edge

Bespoke, lightweight architectures. Built from scratch for maximum edge efficiency.

Get in Touch

Our Services

Bespoke TinyML Design

Engineering lightweight neural architectures from scratch, specifically tailored to fit your target edge hardware constraints without sacrificing accuracy.

Sensor Fusion

Processing complex data from multiple sensor sources directly on the edge for immediate action.

Edge Deployment

Strategic deployment of AI models to industrial hardware, ensuring low latency and high reliability.

The Frugal AI Philosophy

We believe powerful edge AI starts at the drawing board, not as an afterthought. Our "Frugal AI" architecture strategy focuses on:

  • Architectural Efficiency: Designing lightweight models from scratch to minimize memory, silicon space, and power consumption from day one.
  • Sustainability: Reducing the carbon footprint of AI by optimizing model size and execution.
  • Privacy: Local processing means data never needs to leave the edge device.
  • Scalability: Deploying across thousands of sensors without prohibitive hardware costs.

Our R&D Vision: Automated Synthesis

Today, we operate as a highly specialized consultancy—designing and deploying bespoke edge architectures manually for complex industrial setups.

Tomorrow, we scale. We are actively channelizing our consulting insights into building a proprietary software framework that automates network topology generation, compiling zero-dependency C++ code directly for certified Space and Automotive hardware.

42.3 KB
Standalone C++ Benchmark Target

What our framework architecture delivers: For example, A 15-sensor deep model running inside a microscopic 42.3 KB footprint with zero runtime environment overhead.

Ready to Optimize Your Industrial Edge?

Contact us to discuss how TinyML can transform your sensor data into actionable insights.