Hebbia Integrates with Snowflake AI Data Cloud
Hebbia, the leading AI platform for finance, today announced an integration with Snowflake, the AI Data Cloud company, that brings enterprise-grade structured data directly into Hebbia's AI-native research and analysis environment. With more context, teams can make more informed decisions when using AI as part of their diligence process.
For many firms, Snowflake is the repository for their most important data—portfolio company KPIs, positions and exposures, CRM records, and more. Hebbia's Snowflake integration lets teams query that data directly inside their AI-native workflows, bringing structured and unstructured context together in one place.
How Firms Use Snowflake in Hebbia
By unifying Snowflake's data foundation with Hebbia's agentic research capabilities, teams can make faster, more informed decisions. Here are a few ways customers are using the integration already:
- Investment Banking: Pull CRM pipelines, comparable transactions, and valuation benchmarks into Hebbia to power faster pitchbook drafting, comps analysis, and IC materials - all grounded in both market data and internal IP.
- Credit: Integrate covenant ratios, leverage, liquidity, and payment history from Snowflake with credit agreements, loan docs, and borrower updates, which aids in accelerating underwriting, compliance monitoring, and deal benchmarking.
- Private Equity: Bring portfolio company financials, KPIs, and fund performance into Hebbia to analyze alongside board decks, IC memos, and value creation plans. Pair CRM pipeline data with filings and DD materials for sharper sourcing and origination.
- Public Equity: Combine positions, prices, transactions, and risk metrics with filings, earnings transcripts, broker research, and internal notes to analyze portfolio drivers and monitor companies at scale.
