Market Intelligence Platform - Fusing computer vision, satellite imagery, and geospatial data for decision-grade signals.
Evoteli is a next-generation market intelligence platform that combines:
- Computer Vision - Real-time analytics from edge devices (NVIDIA Jetson Orin Nano)
- Satellite Imagery - Change detection and property analysis using Sentinel-2 and Google Earth Engine
- Geospatial Data - Territory mapping, demographic analysis, and location intelligence
- LotWatch - Real-time parking, drive-thru, and curbside analytics
- TradeZone AI - Site selection and market analysis
- GeoPulse - Construction activity monitoring
- SurgeRadar - Demand forecasting and competitor benchmarking
- PermitScope - Building permit tracking
- HomeScope - Parcel-level property intelligence suite
- RoofIQ - Roof condition assessment and solar suitability
- SolarFit - Solar installation opportunity scoring
- DrivewayPro - Driveway and hardscape condition analysis
- StormShield - Storm damage assessment
100% open-source and permissively licensed (MIT/Apache 2.0/BSD):
- Frontend: React, TypeScript, MapLibre GL JS, Deck.gl
- Backend: FastAPI (Python), ClickHouse, PostGIS
- Edge: PP-YOLOE (object detection), ByteTrack (tracking), NVIDIA Jetson Orin Nano
- Infrastructure: Kafka, Valkey, SeaweedFS, Keycloak
- Observability: Prometheus, Apache Superset, OpenSearch, Jaeger
Cost Savings: 97%+ vs. commercial alternatives ($7,566 for 3 months vs. $220k+)
- Platform Overview - Vision, products, and capabilities
- Quickstart Guide - Get started in 30 minutes
- Architecture Overview - System design and components
- MVP Roadmap - 90-day implementation plan
- API Reference - Complete API documentation
# Clone repository
git clone https://github.com/evoteli/docs
cd docs
# Start all services with Docker Compose
docker-compose up -d
# Access services
# API Gateway: http://localhost:8000
# ClickHouse: http://localhost:8123
# PostGIS: postgresql://localhost:5432/geointel
# Superset: http://localhost:8088docs/
├── index.mdx # Platform overview
├── quickstart.mdx # Getting started guide
├── architecture.mdx # System architecture
├── mvp-roadmap.mdx # 90-day MVP plan
├── tech-stack.mdx # Technology selection
├── commercial-safe-stack.mdx # License compliance
├── development-plan.mdx # Agile methodology
├── implementation-roadmap.mdx # Week-by-week tasks
├── implementation-summary.mdx # Implementation overview
├── products/ # Product documentation
├── api-reference/ # API endpoints
├── concepts/ # Core concepts
├── implementation/ # Implementation guides
└── deployment/ # Deployment documentation
- ✅ 10 sites ingesting with <10s lag
- ✅ Occupancy accuracy ±8% vs. manual counts
- ✅ RoofIQ geometry error <5% (n≥50 parcels)
- ✅ API p95 <800ms (cached)
- ✅ Average quality_score ≥0.7
- ✅ 99% uptime over last 2 weeks
- ✅ Alerts firing with <10% false positive rate
- ✅ Zero critical security findings
- ✅ 2 pilot customers using API
- ✅ 1 documented case study
- ✅ Pricing model validated
- Privacy-First Architecture - Edge redaction, aggregation, retention policies
- Decision-Grade Quality - Provenance tracking, confidence intervals, quality scoring
- API-First Design - RESTful API with OAuth 2.0, OpenAPI spec
- Real-Time Processing - <10s end-to-end latency from edge to API
- Scalable Infrastructure - ClickHouse for 10k+ events/sec, PostGIS for 100k+ parcels
| Metric | Target | Achieved |
|---|---|---|
| Edge Inference | <100ms | 42ms (PP-YOLOE-L, TensorRT FP16) |
| API Latency (p95) | <800ms | Pending |
| Throughput | 10k events/sec | Pending |
| Occupancy Accuracy | ±8% | Pending |
| RoofIQ Geometry Error | <5% | Pending |
All components use permissively-licensed open-source software:
- Application code: MIT License
- PP-YOLOE: Apache 2.0
- ByteTrack: MIT
- FastAPI: MIT
- ClickHouse: Apache 2.0
- Valkey: BSD 3-Clause
See License Analysis for complete legal review.
- Email: support@evoteli.com
- GitHub: https://github.com/evoteli
- Documentation: This repository
- API Status: https://status.evoteli.com
Evoteli is built by a team dedicated to democratizing market intelligence through open-source technology.
Ready to build the future of market intelligence. 🚀