Sierrablue offers a reprogrammable edge AI platform that uses a single handheld device with visual and depth sensors to provide on‑device perception for agriculture, surveillance, and infrastructure. The system delivers real‑time crop disease detection, yield estimation and local‑language advice for farmers, as well as sub‑centimetre defect mapping with GPS tagging for rapid infrastructure inspections, all without requiring network connectivity.
Funding
Funding not disclosed
Founders
Product
Problem
Small and marginal farmers in India lack on‑field agronomy expertise, real‑time disease detection, yield estimation tools, and market price guidance, while infrastructure agencies struggle with costly, slow, and inaccurate manual inspections that lead to delayed repairs and high deterioration losses.
Solution
Sierrablue’s Brahmaksh platform delivers edge AI‑powered perception across three personas—agriculture, surveillance, and infrastructure—using a single reprogrammable hardware device. In the agricultural workflow, the handheld sensor captures visual and depth data to run on‑device inference for detecting over 50 crop diseases, counting plants, estimating volumetric yield, and providing offline, local‑language advisory via a dedicated Kisan‑LLM, all without network connectivity. For infrastructure, the same device can be handheld or mounted on vehicles to generate sub‑centimetre defect measurements with less than 5 mm depth error, automatically tagging each defect with GPS coordinates and severity for rapid repair prioritization and export‑ready reporting. All processing occurs at the edge, ensuring low latency, data privacy, and resilient operation in remote environments, while the software layer reconfigures the hardware to suit each domain’s specific workflow.
Target Audience
Primary customers are smallholder farmer groups, FPOs, and agricultural extension services in India, as well as government road and public works departments, defense and aerospace agencies, and construction firms requiring fast, accurate infrastructure inspections.
Features
- Integrated visual and depth sensors enabling high‑resolution 3D perception on a single handheld device
- On‑device AI inference for real‑time crop disease detection (50+ conditions) and volumetric yield estimation
- Offline, local‑language advisory powered by a specialized Kisan‑LLM, eliminating data‑cost barriers for farmers
- Sub‑centimetre defect detection with <5 mm depth error and automatic GPS‑tagged defect mapping for infrastructure assets
- Flexible mounting options (handheld, pole, vehicle) allowing rapid deployment across farms, roads, and construction sites
- Unified software platform that reprograms the core hardware for agriculture, security, or infrastructure workflows without hardware changes