Aidena

— AI STACK RECOMMENDATION

AI Property Valuation with Market Data & Comparables

End-to-end property valuation platform combining market data ingestion, comparable sales analysis, and AI-powered appraisal generation with scalable infrastructure for startup growth.

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Real Estate

AI Property Valuation with Market Data & Comparables

End-to-end property valuation platform combining market data ingestion, comparable sales analysis, and AI-powered appraisal generation with scalable infrastructure for startup growth.

high confidence

Core Stack ℹ︎

Claude Opus 4

Primary

Best-in-class reasoning for complex valuation analysis, comparable property matching, and detailed appraisal report generation with high accuracy on financial data.

$0.015/1K tokens

Airbyte

Primary

Ingest market data from real estate APIs, MLS feeds, and public databases into centralized warehouse. 300+ connectors enable automated data pipeline for comparable sales updates.

$0/month (self-hosted)

Firecrawl

Primary

Scrape real estate listing sites, property databases, and market reports to extract comparable sales data and market trends for valuation analysis.

$0/month (free tier)

Complete the Stack ℹ︎

dbt

Alternative

Transform raw market data into clean, documented feature tables for valuation models. Build repeatable SQL transformations for comparable property analysis and price adjustments.

$0/month (free tier)

Braintrust

Alternative

Evaluate valuation accuracy against actual sale prices. Track model performance, A/B test different valuation approaches, and maintain quality benchmarks as data grows.

$0/month (free tier)

Baseten

Alternative

Deploy valuation API for production use. Auto-scale inference based on demand, handle concurrent property appraisals, and monitor latency as user base grows.

$0/hour (pay-per-use)

Getting started

  1. 1Set up Airbyte to ingest MLS data, Zillow/Redfin APIs, and public tax records into PostgreSQL warehouse.
  2. 2Use dbt to transform raw data into normalized comparable property tables with price adjustments (location, size, condition).
  3. 3Deploy Claude Opus via API to analyze comparables and generate valuation reports.
  4. 4Use Firecrawl to supplement with additional market data and recent sales.
  5. 5Implement Braintrust evaluation pipeline to validate valuations against actual sale prices.
  6. 6Deploy valuation API on Baseten for scalable inference with auto-scaling.
  7. 7Build web UI that accepts property details and returns AI-generated appraisal with comparable analysis.
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