
ML & AI SOFTWARE FOR EMBEDDED SYSTEMS AND ROBOTICS
We build intelligent systems that think at the edge.
We specialize in the design and deployment of embedded machine learning (ML) and artificial intelligence (AI) systems for edge computing environments. Our focus is on enabling real-time, decentralized intelligence.
From environmental monitoring and safety automation to wearable intelligence and unmanned vehicles, our tools are crafted for the edge—where power is limited, latency is critical, and connectivity can’t be taken for granted.
Our Mission
We believe that AI doesn’t need to live in a data center or the cloud to be effective. Our mission is to bring AI everywhere, by enabling small form-factor devices to make decisions, analyze data, and act autonomously. Whether it’s a remote sensor node in the wilderness, a mobile robot in a mine, or a wearable device in a medical setting, our systems are built to think on their feet: safely, locally, and intelligently.
What We Do
We offer an evolving set of solutions and services that blend embedded systems, machine learning, and software-as-a-service (SaaS) infrastructure:
Embedded Intelligence
We design compact, efficient ML models and deploy them to edge devices such as:
Microcontrollers
Single-board computers
Wearables, robotics, and IoT systems
Custom Model Development
We work with clients to develop specialized detection, classification, or predictive models for:
Sensor fusion
Image and audio classification
Pattern recognition for low-power devices
SaaS for the Edge
Our companion cloud platform allows users to:
Deploy, update, and monitor their edge ML models remotely
View logs, alerts, and confidence scores from the field
Integrate into their existing dashboards or APIs
Who We Serve
Our products and R&D partnerships serve clients and organizations across industries like:
Public Safety & Emergency Response
Industrial Automation
Environmental Monitoring
Health & Accessibility Tech
Autonomous Robotics
Defense & Remote Infrastructure
From small startups prototyping hardware to government agencies exploring AI at the edge, we offer both plug-and-play solutions and fully customized stacks.
Why Embedded + ML?
Privacy & security – Data never has to leave the device
Speed & autonomy – Decisions made in milliseconds, not round-trips to the cloud
Scalability – Do more with less bandwidth and energy
Resilience – Works in remote or disconnected environments