finance-ai
(4)
AppZen
AppZen built its business around an unglamorous but expensive corporate blind spot: the receipts, invoices and card charges that finance teams cannot inspect one by one. Now its AI is moving from flagging suspicious spend to resolving the work itself - while leaving the company’s existing finance stack in place.
Hebbia
Hebbia is a New York-based enterprise AI company that builds Matrix, an agentic platform for analyzing huge volumes of documents. Instead of a single chatbot guessing at an answer, Matrix dispatches a swarm of AI agents across thousands of files - PDFs, spreadsheets, presentations, emails - and returns structured, fully cited answers in a grid. It is used by asset managers, investment banks, law firms and Fortune 100 companies to compress work that took analysts days into minutes. Founded in 2020 by Stanford PhD dropout George Sivulka, Hebbia raised a $130M Series B led by Andreessen Horowitz in 2024 at a reported $700M valuation.
Cognida.ai
Cognida.ai is an enterprise AI company that takes companies from AI ambition to deployed, measurable outcomes in weeks rather than quarters. Through its Zunō accelerator platform - covering predictive ML, computer vision, generative AI, integration and synthetic data - the team builds practical solutions for manufacturing, healthcare, finance and tech. Founded in 2022, headquartered in Sunnyvale with a major delivery hub in Hyderabad, the company raised a $15M Series A from Nexus Venture Partners in February 2025.
ZeroEntropy
ZeroEntropy is the AI infrastructure company fixing the broken retrieval layer of modern AI applications. Founded in 2024 by Ghita Houir Alami (CEO) and Nicholas Pipitone (CTO), the San Francisco–based startup builds rerankers, embedding models, and end-to-end search infrastructure that outperforms Google, OpenAI, Cohere, and Voyage on public benchmarks. Backed by Y Combinator (W25) and a $4.2M seed round led by Initialized Capital, ZeroEntropy's products — zerank-2, zembed-1, zsearch, and ze-onprem — are used by enterprises including Assembled (serving Stripe, Canva, Robinhood, and Notion). The company's proprietary zELO training methodology, derived from chess Elo ratings and the Thurstone statistical model, produces models with calibrated relevance judgments that binary labels cannot replicate.