What We Actually Have

1. What Is LIFE?

LIFE (Landvex Intelligence Fusion Engine) is a concept for a software platform that combines satellite imagery, field observations (from QUIXZOOM contributors), and AI to monitor physical infrastructure and projects.

It started as a tool to track aid projects in Somalia (v1) and evolved into a broader vision for "Reality Intelligence" — monitoring anything physical: roads, buildings, parks, bridges.

IMPORTANT: LIFE is currently a concept and partial codebase, not a product customers can buy today.

2. What Actually Exists (Code)

Backend API CODE EXISTS

Admin Dashboards CODE EXISTS

quiXzoom Integration CONCEPT ONLY

AI / Intelligence CONCEPT ONLY

3. What Is RIS?

RIS (Reality Intelligence Standard) is a set of 6 conceptual standards for how to structure data about physical objects:

IMPORTANT: RIS is a documented concept, not an implemented standard. No external systems use it. No certification program exists yet.

4. How Would a Customer Use This?

Today: Not Possible NOT AVAILABLE

No customer can log in and use LIFE today. There is no:

Future Vision: PILOT PHASE

A municipality (e.g., Uppsala) would:

  1. Sign contract with Landvex
  2. Define area to monitor (e.g., all roads)
  3. LIFE ingests satellite imagery automatically
  4. quiXzoom contributors take field photos
  5. AI detects changes (new potholes, construction)
  6. Dashboard shows status with confidence scores
  7. Alerts sent when issues detected

Pricing (Conceptual):

5. Integration with Existing Landvex

What Exists Today:

What Would Integration Look Like:

Current Gap:

The systems are separate. There is no data flow between quiXzoom and LIFE today.

6. What Needs to Happen Next

P0 (Critical — Next 3 Months):

  1. RIVP Pilot 1: Pick ONE use case (e.g., road monitoring in Uppsala)
  2. Build minimal working system:
    • Ingest satellite imagery for pilot area
    • Run basic change detection (even manual at first)
    • Show results in dashboard
    • Measure: precision, detection time, verification rate
  3. Document technical specification based on real learnings

P1 (After Pilot Success):

  1. Build reference implementation (real code, not concepts)
  2. Publish RIS specification
  3. Start second pilot (different domain)

P2-P3 (Future):

  1. Conformance program
  2. Partner SDK
  3. Marketplace

7. Summary: Concept vs. Reality

Component Status What Exists
Backend API Partial FastAPI server, mock endpoints, no DB
Dashboards Partial Static HTML showing concepts, no live data
AI/ML None No models deployed
quiXzoom Integration None Separate app, no data flow to LIFE
Database None No persistent storage
Authentication None No user login system
RIS Standard Concept Documented, not implemented by others
Customer Pilots None No active pilots
Revenue None No paying customers for LIFE

8. The Honest Pitch

To investors: "We have a clear vision and architecture for Reality Intelligence. We've built the conceptual framework (RIS) and a demo backend. Next step is a paid pilot to prove the technology works in practice."

To customers: "We're developing a platform to monitor your infrastructure automatically using satellite and field data. We're starting pilots in Q3 2026. Would you be interested in being an early partner?"

To partners: "We're creating an open standard for Reality Intelligence. The specification is in development. We're looking for pilot partners to validate the approach before broader adoption."