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NYC-based commercial real estate lease comparables and analytics platform; raised $50M+; uses crowdsourced exchange model where brokers trade comp data for platform access.
CompStak is a commercial real estate lease comparables and analytics platform headquartered in New York City. Founded in 2011, the company has raised over $50M in funding and built a unique data exchange model where commercial real estate brokers, appraisers, and researchers contribute lease transaction data in exchange for access to CompStak's aggregated database of comps. This exchange model has enabled CompStak to build one of the most comprehensive collections of verified CRE lease comparables in the US market.\n\nCompStak's platform allows subscribers to search and analyze lease comps by submarket, building class, tenant industry, deal size, and lease term, with transaction details including effective rent, free rent periods, tenant improvement allowances, and base rent escalations. These metrics are notoriously difficult to obtain in commercial real estate, where lease terms are typically private. CompStak's analytics tools allow investors, lenders, and asset managers to benchmark their portfolio leases against market, underwrite acquisitions, and track rent trends in specific submarkets.\n\nCompStak serves commercial real estate brokers, lenders, private equity investors, and institutional owners who need reliable comp data for underwriting and market analysis. The company competes with CoStar's lease comps database but differentiates through its exchange model, which incentivizes brokers to contribute current transaction data faster than traditional research-gathering methods, and through its more granular lease detail available in core markets.
Adept AI raised $415M to pioneer computer-use AI agents; its core research and agent team moved to Amazon in 2024 in a landmark talent acquisition while the company continues developing ACT-1 for enterprise automation.
Adept AI was founded in 2022 by a team of former OpenAI, DeepMind, and Google Brain researchers to build AI that can take actions on computers — navigating software interfaces, filling forms, and executing multi-step workflows in any application. Its ACT-1 model demonstrated the ability to control web browsers and desktop applications through natural language instructions, pioneering the computer-use agent paradigm that Anthropic later commercialized with Claude's computer use feature.
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