Real Estate Suite
Six productized services for the asset lifecycle — two for investment teams (valuation, site selection), four for operators (rental pricing, tenant intelligence, building health, lease abstraction).
Real estate is two distinct buyer profiles under one suite. The investment team buys valuation and site-selection intelligence; the operating team buys pricing, tenant, building, and lease-document automation. We separated them on the page because the pages should speak to the buyer.
The flagship is on the investment side — Property Valuation Engine. The technical reference point for the AVM half of the suite is OpenAVMKit (Lars Doucet's open-source mass-appraisal toolkit) — we draw from the same modeling stack (LightGBM, XGBoost ensembles, GWR for spatial correction) and apply it to investor-side, not assessor-side, workflows.
We deliberately don't play in the property-tax-assessor market — that's a government-sales lane with IAAO-compliance overhead and a different go-to-market shape. ValueBase serves that lane well; we serve the investor and operator sides.
For RE investment teams
Investors, developers, REIT acquisitions, RE-focused PE — the deal-side products. Valuation, site selection, comparable analysis at portfolio scale.
- I·01Flagship
Property Valuation Engine
An automated valuation model that ingests comparable sales, rents, macro-data, and property features — produces instant valuations with documented uncertainty, plus sensitivity scenarios (cap-rate moves, rent growth assumptions, expense trajectory) the deal team uses for underwriting.
8–14 week build · ongoing model refresh - I·02
Site Selection Intelligence
A geospatial-and-economic data platform that fuses zoning, transit, demographic, employment, and permit-activity data — produces investment-scoring heatmaps at parcel and neighborhood granularity, configured to the fund's investment thesis.
8–12 week build · ongoing per-market refresh
For RE operators
Property managers, multifamily operators, facility teams, REIT operations — the hold-side products. Pricing, tenant intelligence, building health, lease abstraction.
- II·01
Dynamic Rental Pricing Engine
A pricing model trained on the property's leasing history, competitor positioning, and macro signals — produces weekly pricing recommendations at the unit level, with the underlying demand forecast and the competitor-comp context surfaced.
8–12 week build · ongoing weekly pricing cadence - II·02
Tenant Intelligence Engine
A classification layer over tenant data — predicts churn probability on existing tenants, scores incoming leads, recommends retention actions tied to predicted risk drivers.
6–10 week build · ongoing operation - II·03
Building Health & Maintenance Engine
An IoT-and-ML platform that ingests sensor telemetry from critical equipment, fuses with work-order history and weather data, produces a Building Health Score per asset and a recommended preventive-maintenance schedule.
12–20 week build · ongoing IoT and data ops - II·04
Lease Abstraction Engine
A document-AI pipeline that extracts the canonical commercial-lease terms (commencement, term, base rent, escalation structure, option periods, expense pass-through structure, exclusions, default triggers, transfer restrictions) into a structured database — with confidence scoring, review queue, and audit trail back to source.
6–10 week build · ongoing operation
How a real estate suite engagement runs.
Each product has its own engagement shape — typical length, what you get, who staffs it. Across the suite, the constants are the same.
- Lead
- Bogdan
- Cadence
- Async-first
- Engagement
- Per product
- Bar
- Production
Principal engineer. Most architecture and most code ships through one keyboard.
Weekly check-ins, written updates between, calls when the decision needs the room.
Shapes listed on each product page — typically multi-week builds with ongoing operation.
Async correctness, capacity under burst, observability at every boundary.
If this fits the operation, the next step is one call.
We'll talk scope and fit. If we're not the right fit, you'll know fast.
Bogdan and team · async-first · OP—2026