Real-estate intelligence
Qompas is the independent intelligence layer for real estate — a provenance-honest index that scores what a market or unit is actually worth, calibrated on real transactions, that no one can pay to move. A reference the whole market can point to.
Geometric across four pillars — a single weak pillar can't be bought back by a strong one.
Asking price is as listed. Yield, score and the transacted benchmark derive from DLD transactions and Ejari contracts — the model never invents numbers.
Why we're certain
We tested model after model around AI brokers and sales automation and hit the same wall: buying property remains an act of trust, and automating the sale does not close that gap. Those experiments put us in front of thousands of real buyers and showed us what does close it: trustworthy data. We pivoted to the layer beneath the transaction with first-hand behavioural evidence and the conviction of having tested the alternatives to destruction.
The problem, and the answer
How it works
A live terminal, not slideware. Three things you can check for yourself:
Four-pillar decomposition with live signals that decay on a separate clock from the structural score — news moves the short-term read without whipsawing the number.
For you: a real model, not a diagram.Ask for a unit, a comparison, a portfolio — it answers in structured cards drawn from the data, and refuses when it can't ground the answer.
For you: it won't invent a number to fill a gap.Dubai is calibrated against DLD, mixed-confidence markets are labelled, and markets without calibrated data return an honest no-data state.
For you: confidence is enforced in the system, not the marketing.How a client actually uses it
Layla advises a family office in Dubai. A client has handed her about AED 40M to invest in property. She is looking at a bundle of off-plan units across Marina, Business Bay and JVC — each showing 7%+ projected returns, all quoted from asking prices.
A dozen units, each with projected returns figured off the asking price. The arithmetic is honest; the reference point is the problem.
Qompas puts each asking price next to what units there have actually sold for. Several Marina units are priced around 15% above the real market.
The prices-about-to-jump story appears as a short-term signal that fades over months, separate from the area's structural score.
She passes on overpriced units, keeps those priced in line with reality, and spreads the plan across areas.
Qompas didn't pick the investments. It showed her what the units are really worth, and which now-or-never deadlines are real.
Who it's for, and why they pay
Investors and family offices placing capital, and the advisors, brokerages and agencies who win by letting independent numbers do the talking.
At the decision moment: check the area's fundamentals, see asking versus transacted, and put an independent read on the table.
A few thousand a year is rounding error against a single $1–3M decision — and an independent number is the fastest way to be believed.
Access & pricing
See the full Index map, ask the index for any area, browse every listing, and preview Portfolio. The honest read is open; paying unlocks doing the work at scale.
For the serious solo investor, vetting one decision at a time.
For advisors, agencies and family offices working a book of deals over time.
Enterprise — bulk seats, integration, and custom data access for institutions and family offices. Pricing by conversation.
Market
The category is proven. We enter through Dubai, one of the world’s most investor-driven property markets, and compound from there.
information, analytics and marketplaces · +19% YoY
270k+ transactions · about $250B
Q3 2025 share, not a full-year measure
model: 30k seats × ~$3.6k; not reported market size
Bottom-up, not top-down. The transaction value demonstrates market vitality; our serviceable market is built from professional seats × price. It expands as more markets are calibrated and as the verified data layer is licensed to AI products that cannot source neutral real-estate data.
Why now & why it holds
Where we are, honestly
The round
on a SAFE · [SAFE_CAP] · 12 months
Three milestones, each closing one of the three real risks. Hit them and the seed valuation is earned, not asked for.
Convert the developer channel into a verified, calibrated buy-side feed and stand up the first full-time core team.
Complete the index backtest against Dubai Land Department transaction history.
Sign the first paying buy-side design partners.
Use of funds: data acquisition and engineering first; then key-account management, product extension, licensing and infrastructure. Long term, the verified data layer becomes infrastructure other AI products license.
Team
CEO · four years investigating the real-estate data landscape
CPO · two years building the platform product
Plus three full-time engineers and a lead designer — the team that built the working product before this round. Two years inside the problem on about $100K: capital-efficient and willing to follow the evidence even when it means changing course.
Advisors: [ADVISOR_NAMES]
No slide argues as well as a product that refuses to invent a number.