RESILAND Intelligence

RESILAND Intelligence is an AI-powered decision-support platform for the World Bank's $256M RESILAND CA+ landscape-restoration program — covering Kazakhstan, Kyrgyzstan, Tajikistan, Uzbekistan ($153M pilot), Turkmenistan, and Türkiye as a partner geography (drawing on decades of OGM/TEMA dryland afforestation expertise). The problem: Phase-4 feasibility studies for forest-restoration parcels take field consultants 4–6 weeks each. Every day of delay means more desertification, mudflows, and lost ecosystem services. With Opus 4.7 as a teacher model learning from nine real World Bank reference reports, we turned that into 2–3 minutes per report (with prompt caching). Built in 5 days, solo, live in production at resilland.com since Day 2. CORE INTELLIGENCE • Click any of 3,563 cadastral parcels → 9-section feasibility report with passage-level citations to nine reference Phase-4 docs • Drop a field photo → Opus Vision analyzes vegetation health • Drag-drop a KMZ/KML/GeoJSON polygon → spatial scoring + suitability verdict • 5,925 Sentinel-2 scenes, 12-month NDVI per parcel, ERA5 climate, CHIRPS precipitation, 64-species recommendation catalog • 125-document RAG knowledge base (Voyage-3 → pgvector with HNSW index) • Parcel-level Hansen GFC + Köppen-Geiger + WorldClim baselines on all 3,563 parcels • Translate any report EN ↔ TR/RU/UZ, section-by-section, sibling-linked MULTI-TENANT PLATFORM • 5-step setup wizard, Fernet-encrypted credentials in Postgres ("clone, paste your keys, ship" — nothing in .env) • Organizations + role-based invitations (owner / admin / user) • Layer sharing across orgs with per-org pinning • Demo allowance (10k tokens/day, 30-day TTL) lets visitors try without keys ECOSYSTEM • Published MCP server: pip install mcp-resilland — 16 tools that let Claude Desktop / Cursor / any MCP client analyze parcels AND generate full feasibility reports (analyze_area, generate_feasibility_report, translate_report, share-link, PDF) without opening the web UI • WhatsApp bot at +90 535 374 99 71 (chat-only), routing Haiku 4.5 → Sonnet 4.6 → Opus 4.7 in the background • 15 provisioned Managed Agents (7 primary + 8 specialist) — full HMAC-signed bridge + audit trail behind a feature flag • Knowledge Ingestion pipeline: drag-drop DOCX / PDF / PPTX / MD or paste a GitHub repo URL — Opus 4.7 classifies, Voyage-3 embeds ECONOMICS Adaptive cascade routing keeps the bill in single-digit dollars per session: Haiku 4.5 handles ~90% of conversational turns, Sonnet 4.6 drafts report sections with 9× prompt-cache savings, Opus 4.7 escalates only for deep cross-document reasoning and Vision. Stack: Next.js 14 + FastAPI + PostgreSQL/PostGIS + pgvector(HNSW) + Redis + MinIO + Anthropic SDK + FastMCP. Open-source under Apache-2.0 — see ROADMAP.md for the public Q2 / Q3-Q4 / Moonshot kanban (25 issues).