Every capability operates over the same typed graph — so a valuation, a comparable search and a market analysis share one consistent, source-traceable picture of your portfolio.
Agentic Copilot — Grounded, Facts-First
Ask anything about your portfolio in plain language. The copilot understands the question itself, selects the grounded tools it needs — portfolio analysis, comparable pricing, official market data, location scores — and builds its answer exclusively from tool results. No number comes from AI memory. Where a required source is not connected, the copilot tells you honestly instead of estimating. The result: a transparent, source-traceable analysis and a proposed next action for your team to approve.
AI-Powered Property Valuation
Instead of a price-per-square-meter average, EchoDestiny computes valuation with the full ontology context: comparable sales in the area, ownership history, transaction timing and market signals — all weighted by the relationships that matter for this specific property type and location. The AI proposes a valuation range with its reasoning. Your team reviews it.
Semantic Comparable Search
Finding comparable properties by filtering on bedrooms, size and postcode gives you a list. Semantic comparable search gives you relevance. EchoDestiny uses locally-run embeddings to understand the meaning of each property profile — and surfaces the objects that are genuinely similar, including ones a keyword filter would miss.
Market Context — Official Sources
The copilot pulls market context from integrated official sources: the mortgage effective interest rate from the Deutsche Bundesbank and the annual house price index trend from Destatis (additionally Eurostat HPI as a cross-check). Where available, official land values (Bodenrichtwert) come from BORIS — currently covering Berlin. These are measured values as of their respective reference date, not forecasts. The copilot states the reference period and notes when only national figures are available, not city-level data.
Owner & Transaction Graph
Who owns what, who sold to whom, which properties have changed hands multiple times in short succession — these relationship patterns are often the most commercially relevant signals in real estate. EchoDestiny makes the ownership and transaction graph navigable, so your team can identify concentration risk, off-market opportunities and relationship-based leads.
Purchase Check for Investors
Track a property you do not own yet as a purchase candidate — with the seller's asking price and the advertised rent. It gets the full analysis: location, market context, and deterministic investor metrics (price-to-rent factor, gross and net rental yield, cash flow after debt service). It never inflates your portfolio KPIs, and it cannot carry a listing or a sale. The day you buy, one status change moves it into the portfolio — recorded as an event with its date.
Document Upload & AI Extraction
Upload an exposé or property PDF. The AI extracts type, address, areas, rooms, energy data and more — each extracted value anchored to the exact passage in the document it came from. You review the suggestions and confirm; only confirmed values enter the record. Processing runs under EU rules with zero retention at the model provider.
Sell-Candidate Ranking
One question — 'which property should I sell?' — answered with a deterministic, portfolio-wide ranking over signals your data already carries: listing staleness, demand context, price position and quiet time per object, each with its stated justification. The language model only verbalizes numbers that are already computed. It never invents a score.
Roadmap Satellite Data Analysis
EchoDestiny will integrate open-source satellite imagery — Sentinel-2, Landsat — to enrich property context with land use, green space, infrastructure proximity and visible neighborhood change over time. This is a planned capability, not a live feature. It will give Real Estate Intelligence a location-analysis dimension that no spreadsheet can replicate.
