Comp Engine
Automated comp-matching against verified CoStar transaction history. Pulls similar properties by submarket, SF range, lease type, and deal date.
Cremdeal connects your CoStar data to a comp-matching engine and pipeline dashboard — so your agents close with the same data leverage as national firms.
CoStar has the data. Most regional brokerages have a subscription. But pulling, cleaning, and matching comps to an active requirement takes hours of manual work — and the result is inconsistent from agent to agent.
Pipeline visibility is informal. Managing Brokers track deals through email, sticky notes, and whatever gets updated in the CRM. There is no rollup view. There is no velocity data. There is no way to see where deals are stalling until they are already lost.
National firms like CBRE and JLL have built proprietary analytics infrastructure on top of CoStar. Their deal teams move faster, price sharper, and close at higher conversion rates. Regional brokerages are closing the same deals — without the same tools.
Cremdeal adds the analytics layer your CoStar subscription has been missing.
Automated comp-matching against verified CoStar transaction history. Pulls similar properties by submarket, SF range, lease type, and deal date.
Real-time deal stage tracking from first tour to signed lease. Velocity metrics surfaced per agent and per submarket.
Direct API connection to your existing CoStar subscription. No re-entry, no exports. Your data, structured for analysis.
Connect your CoStar API credentials
Cremdeal ingests your comp history and deal pipeline
Comp-matching engine calibrates to your submarkets
Live dashboard surfaced to your agents and principals
Liam Pettersson
Founder & CEO
Maya Okonkwo
Head of Data & Integrations
Carlos Reyes
Lead Engineer
Sarah Kim
Head of Brokerage Partnerships
Most regional brokerages have access to CoStar. Fewer have a reliable process for turning that data into accurate, repeatable comp sets.
The LOI-to-executed-lease stage has the highest drop-off rate in most brokerage pipelines. The causes are predictable — and most of them are data problems.
Three platforms dominate commercial real estate transaction data. Each has different coverage, methodology, and cost structure.