The leading AI platform for finance, used by the world's leading asset managers, investment banks, law firms, and Fortune 500 companies. Founded in 2020 by George Sivulka.
The leading AI platform for finance, used by the world's leading asset managers, investment banks, law firms, and Fortune 500 companies. Founded in 2020 by George Sivulka.
The leading AI platform for finance, enabling users to ask questions across thousands of pages with cited responses, reason over any volume of documents with traceability, gener...
What customers say
“Hebbia allows our team to be ahead of the market and operate with a level of precision that simply was not possible before.”
CustomerHebbia customer
“Hebbia has not only increased the speed at which Analysts can perform their roles, but also created insights into the various positions that we have that have influenced our investment process.”
CustomerHebbia customer
“We tried plenty of banking tools. Hebbia is the exception…It has allowed us to expand capacity without adding headcount, and raise the quality floor across deliverables.”
CustomerHebbia customer
Oak Hill Advisors deployed Hebbia across public and private credit teams to structure agreement data and scale internal expertise. Hebbia reports ROI reaching 6x and review-time reductions of up to 75% on various…
Ice Miller uses Hebbia for contract diligence, redline analysis, SEC research and practice workflows. Hebbia's case reports that an associate halved an estimated 30-hour diligence task while retaining citation-backed…
Troutman Pepper Locke and Troutman eMerge used Hebbia's Matrix to extract and structure terms from over 1,000 contracts for a client's CLM migration. Hebbia's case reports the firm's estimate that execution would have…
Hebbia has launched an integration with Snowflake, enabling users to incorporate enterprise-grade structured data directly into Hebbia’s AI-native research environment. This integration allows financial teams to combine structured data from Snowflake, such as CRM records, portfolio KPIs, and financial metrics, with unstructured data to support workflows including deal benchmarking, underwriting, and portfolio monitoring. By centralizing this information, the integration is intended to improve the speed and precision of AI-driven analysis for investment banking, private equity, and public equity workflows.
