Autonomous Intelligence for
Biological & Supply Ecosystems.
Sunspica AI is engineered specifically for biological variability, volatile perishability kinetics, and hyper-local agricultural commerce. We deploy domain-adapted models with zero client-side credential exposure.
Sunspica AgroVision™
Lightweight edge vision transformers engineered to execute locally on low-cost Android field devices. Analyzes foliar fungal infections, bacterial blights, and fruit maturity grades in under 85 milliseconds without continuous cloud connectivity.
Sunspica TradePredict™
Time-series spatial ensemble networks aggregating multi-spectral satellite moisture indexes, regional acreage declarations, and daily mandi arrival volumes to forecast forward 14-day spot price deviations and wholesale arbitrage.
Sunspica FarmerCopilot™
Domain-tuned agricultural language model supporting voice and text in regional languages (Hindi, Odia, Bengali, Telugu, and English). Guides rural growers through crop cycles, government schemes, and collective procurement.
Sunspica ThermalGuard™
Predictive transit spoilage modeling integrating multi-point IoT temperature sensors, humidity telemetry, and vibration sensors across reefer trucks to calculate real-time produce shelf-life degradation.
Enterprise Backend Provider Abstraction & Security Layer
The Sunspica AI layer never transmits sensitive provider API keys or model tokens to browser runtimes. Inquiries are handled via an encrypted Next.js API router and Spring Boot orchestration bridge with rate limiting and database telemetry.
Zero Client-Side Token Leaks
All provider secrets stay isolated in server-side environment configurations.
Continuous Telemetry Audit
Every message roundtrip, latency interval, and suggested action is audited in Neon DB.
Dynamic Dual-Source Knowledge
Inquiries regarding external agro-climates automatically fetch corroboration from global knowledge APIs.
