Hebbia
Founded 2020 by George Sivulka (ex-Stanford); Matrix is its enterprise research agent — multi-step research across documents. $130M Series B Jul-2024 ($700M val; Andreessen Horowitz + Index + Google Ventures + Peter Thiel). Used heavily at Tier-1 investment banks + hedge funds.
At a glance
- Type
- Enterprise research agent (Matrix)
- Tier
- T2
- Created
- 2020 (founded)
- Latest release
- not applicable — wrong section
- License
- not applicable — not OSS
- GitHub
- not applicable — no GitHub repo
- Pricing
- not applicable — wrong section
- Funding
- $130M Series B Jul-2024 ($700M val; a16z + Index + GV)
Taxonomy
- storage
- none-trivial
- retrieval
- none
- persistence
- session-only
- update
- agent-controlled
- unit
- turn
- governance
- opaque
- conflict
- out-of-scope
When to use
Optimised for: enterprise document research (IB / PE / consulting)
Anti-fit: not applicable — wrong section
Pros & cons
Pros
$700M val; a16z + Index + GV-backed; Matrix differentiates from query-response agents (spreadsheet-style cell-by-cell agent); heavy IB / hedge-fund adoption.
Cons
Enterprise sales-cycle complexity; pricing reserved for top-tier financials.
Claims & capabilities
$130M Series B Jul-2024 ($700M val; a16z + Index + GV + Peter Thiel); used at Tiger Global, Charlesbank + Tier-1 IB
Technical surface
- API surface
- not applicable — wrong section
- Backend storage
- not applicable — wrong section
- Deployment
- not applicable — wrong section
- Embedding model
- not applicable — not a memory product
- Multi-tenancy
- not applicable — wrong section
- MCP
- not applicable — wrong section
- A2A
- not applicable — wrong section
- OpenTelemetry
- not applicable — wrong section
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