Product architecture

How Stratapine works

From raw market data to investor-ready intelligence — a transparent look at our pipeline, scoring engine, and access model.

Data pipeline

Step 1
Ingest
Land Registry, EPC, ONS, transport, planning
Step 2
Normalise
Postcode, geo and time-series alignment
Step 3
Score
Composite Investment Score (0–100)
Step 4
QA review
Analyst-verified outliers & flags
Step 5
Serve
API + dashboards + map tiles

Scoring engine

The Investment Score blends weighted signals across yield, growth, demand, affordability and risk.

Gross yield25%
5y price growth20%
Demand index20%
Affordability15%
Risk (inverse)10%
Liquidity & supply10%
// pseudocode
function investmentScore(area) {
  return clamp(0, 100,
    0.25 * normYield(area.yield) +
    0.20 * normGrowth(area.growth5y) +
    0.20 * area.demandScore +
    0.15 * area.affordability +
    0.10 * (100 - area.riskScore) +
    0.10 * area.liquidityScore
  );
}

User flow

Land on /
Sign in (role)
Dashboard
Explorer (Mapbox)
Area profile
Save to watchlist
Compare & decide

Access model

Investor

Discovery, basic profiles, 10 saved areas

Pro Investor

Full analytics, exports, unlimited watchlist

Analyst

QA queue, area moderation, flag review

Admin

Users, plans, platform configuration

Built on a modular intelligence layer
Scalable across regions, asset classes and future AI overlays.
Try the platform