Vehicle Intelligence Platform
A full-stack vehicle telemetry and intelligence platform. Custom ESP32 hardware connects to OBD-II, streams real-time data to mobile and web dashboards, with an AI assistant for natural-language vehicle queries.
Real-Time Telemetry
AI Assistant
Custom Hardware
133+ Tests
The Problem
Why vehicle data is untapped
Modern vehicles generate rich OBD-II data, but drivers and fleet managers have no accessible tool to interpret it.
Separate apps for diagnostics, trip tracking, fuel economy, and safety scoring. No unified intelligence layer.
Breakdowns happen before problems are detected. No predictive alerts, no health scoring, no trend analysis.
Can't ask your car questions. No natural-language interface to understand driving patterns or vehicle health.
Features
From raw OBD-II data to actionable intelligence
OBD-II PIDs (speed, RPM, fuel, temps), GPS tracking, IMU at 100Hz — all streaming via WebSocket/SSE.
Auto start/end detection, route recording, trip stats, and replay. Full trip history with cost analysis.
0-100 safety score from acceleration, braking, and cornering patterns. Trend history and improvement insights.
DTC read/clear, freeze frame analysis, vehicle health score, and predictive maintenance alerts.
Ask natural-language questions about your vehicle data. Powered by Claude with streaming SSE responses.
ESP32-S3 with CAN bus, GPS, IMU, WiFi, BLE. Offline buffering on SPIFFS, OTA updates with A/B rollback.
Performance
What Vectis AI delivers
40+
OBD-II parameters
100Hz
IMU sampling rate
16
Geofence zones
72h+
Offline buffer capacity
A/B
OTA with rollback
133+
Automated tests
Tech Stack
Fastify, TypeScript, Prisma, PostgreSQL + TimescaleDB, Redis
Anthropic Claude API, streaming SSE, natural-language vehicle queries
Next.js 14, Tailwind CSS, shadcn/ui, real-time data visualization
React Native, Expo, NativeWind, BLE pairing, Detox E2E tests
ESP32-S3, ESP-IDF 5.x, FreeRTOS, CAN/TWAI, ISO-TP, GPS NMEA, MPU6050
Docker, GitHub Actions CI, Vitest, JWT auth, Swagger API docs