The most expensive thing a marketer can do is stare at a spreadsheet. CREWASIS, a New York-based AI platform, is betting that enterprise brand teams are tired of paying for it. Founded in 2020, the company sells a “decision intelligence platform,” a tool that ingests multimodal data and spits out ranked insights [crewasis.ai].
A wedge into the Fortune 1,000
CREWASIS is built for a specific buyer: the brand, research, and innovation teams inside large enterprises. Its marketing materials consistently target Fortune 1,000 companies [crewasis.ai]. The product promise is to solve “tough brand problems” by translating complex datasets into actionable strategies [CREWASIS Blog, 2023-2024].
Traction signals and team texture
Third-party estimators peg its revenue at roughly $3.5 million with a headcount around 32 people [GetLatka, 2025]. It raised a $120,000 seed round from Techstars [Tracxn]. The company appears to be in a venture-scale build phase, growing its team with contributors focused on data science [Son Nguyen - EAB | LinkedIn; Shubham Nilesh Palande - IpserLab | LinkedIn].
CEO Sharon Joseph brings two decades of marketing experience at Fortune 500 companies to the role [Crunchbase]. Her entrepreneurial history includes co-owning the now-closed Harlem Lanes [The New York Times, 2012]. The current competitive set includes platforms like TapClicks and DISQO.
| Metric | Value |
|---|---|
| Seed Round (2020) | $0.12M |
| Estimated Annual Revenue (2025) | $3.5M |
The data-quality counterfactual
No AI insight platform is better than the data it eats. The platform’s utility hinges on its ability to connect to and clean disparate internal and external data sources. The company’s success will depend on moving beyond generic promises of faster collaboration to documented case studies showing that its insights led to measurable wins.
If CREWASIS’s estimated $3.5M in revenue comes from 50 enterprise customers, that’s an average contract value of $70,000. For a Fortune 500 brand team, that’s a justifiable line item if it shaves weeks off a product launch cycle.