The company provides EdgeBrain™, a plug-and-play inline AI module that processes data streams directly between sensors and hosts in industrial signal paths. This embedded AI delivers application-specific results with defined latency and reproducible timing for real-time analysis. The solution enables local, energy-efficient inference, reducing scrap and stabilizing quality without requiring cloud connectivity.
Funding
Funding not disclosed
Founders
Product
Problem
Industrial production lines often rely on separate, cloud‑based AI systems or bulky hardware upgrades to analyze sensor data, resulting in high latency, unpredictable timing, and added complexity that can increase scrap, downtime, and quality variance.
Solution
EdgeBrain™ delivers a plug‑and‑play inline‑AI module that sits directly between a sensor and its host controller, performing deterministic inference on data streams in real time. The device provides application‑specific outputs with guaranteed latency and reproducible timing, enabling immediate quality or safety decisions without redesigning existing PLC or sensor architectures. Processing is performed locally on an energy‑efficient hardware platform, eliminating cloud dependence while optionally supporting a hybrid mode with bidirectional, encrypted Secure Blocks for secure data exchange. Complementary Smart Analysis consulting identifies AI opportunities in a customer’s process and delivers optimized, hardware‑specific embedded models, accelerating deployment and ROI.
Target Audience
Primary customers are industrial manufacturers and system integrators in sectors such as metal processing, food production, and security/surveillance who need real‑time, on‑device AI for quality inspection, process monitoring, or threat detection.
Features
- Standardized interfaces (e.g., Ethernet, CAN, GPIO) for seamless insertion into existing signal paths without system redesign.
- Deterministic inference engine with configurable latency guarantees and reproducible timing for real‑time control loops.
- Fully autonomous, offline‑first operation on a low‑power System‑on‑Module (SoM) platform; optional hybrid mode via Secure Blocks with end‑to‑end encryption.
- Compact AI models (≈2 MB) optimized for 1.4 GOPs throughput, supporting up to 60 FPS inference for high‑speed visual inspection.
- Turnkey use‑case package including hardware, bitstream, pre‑trained model, integration scripts, and on‑site support.
- Smart Analysis service that audits sensor data, prototypes AI functions, and defines a roadmap from proof‑of‑concept to production deployment.
- Embedded AI model customization for target hardware (FPGA, RISC‑V, ARM) with transparent documentation and traceability.