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Voseno
Roadmap

Machine learning-powered property valuations, rental price estimates, and bidding advice for every Dutch residential property.

Automated market value estimates (AVM)
Rental price predictions
Bidding advice based on market conditions
Comparable sales analysis
Portfolio-level valuation screening
GET /v1/valuations/0363010012143321Roadmap
{
  "bag_id": "0363010012143321",
  "estimate": {
    "value": 645000,
    "lower_bound": 605000,
    "upper_bound": 690000,
    "confidence": 0.87,
    "model_version": "v2.4",
    "estimated_at": "2026-03-14"
  },
  "price_per_m2": {
    "estimated": 6582,
    "neighbourhood_median": 7200,
    "city_median": 6850
  },
  "comparables": {
    "count": 12,
    "avg_sale_price": 658000,
    "avg_distance_m": 480,
    "date_range": "2025-09 to 2026-03"
  },
  "woz": {
    "value": 610000,
    "reference_date": "2025-01-01"
  },
  "data_freshness": {
    "estimate": "2026-03-14",
    "comparables": "2026-03-14",
    "woz": "2025-01-01"
  }
}
GET /v1/valuations/{bag_id}/history
{
  "bag_id": "0363010012143321",
  "history": [
    { "date": "2026-03-01", "estimated_value": 645000 },
    { "date": "2026-01-01", "estimated_value": 632000 },
    { "date": "2025-10-01", "estimated_value": 618000 },
    { "date": "2025-07-01", "estimated_value": 605000 },
    { "date": "2025-04-01", "estimated_value": 590000 }
  ],
  "trend_yoy_pct": 9.3
}

Planned API endpoints

All endpoints use the same BAG ID as the Property API. Customers compose both APIs independently.

GET/v1/valuations/{bag_id}Valuation estimate for a property
GET/v1/valuations/{bag_id}/historyHistorical valuation estimates over time
POST/v1/valuations/batchBatch lookup (up to 100 BAG IDs)
GET/v1/valuations/{bag_id}/comparablesComparable sales used in the estimate

Planned capabilities

Built for lenders, investors, and platforms that need automated property valuations at scale.

Automated market valuations

Machine learning-powered property value estimates based on comparable sales, market trends, and property characteristics.

Rental price predictions

Estimated rental prices based on location, property type, size, and current market conditions.

Bidding advice

Data-driven bidding recommendations based on market velocity, comparable transactions, and listing history.

Comparable sales analysis

Automated selection of comparable properties with transaction prices for valuation support.

Confidence scoring

Valuation confidence intervals and model accuracy metrics for risk assessment.

Roadmap

Q3 2026Automated market value estimates (AVM)
Q3 2026Comparable sales engine
Q4 2026Rental price prediction model
Q4 2026Bidding advice engine
Q1 2027Portfolio-level valuation screening
Q1 2027Confidence scoring and model transparency

Shape the product.

We're actively gathering input from lenders and investors. Request a demo to influence the roadmap and get early access.