Hebbia Matrix
Corporate / transactional due diligence. Parallel AI agents across large document sets with firm-specific configurations and review workflows. Configuration amounts to a shallow institutional memory layer; cross-matter persistent memory not documented.
Active · Verified 2026-10-22 · fresh as of 2026-10-22 · 30 cited facts, 7 with a third-party source · 1 recorded change · Suggest a correction
At a glance
- Tier
- T2
- Created
- 2020 (founded August 2020 by George Sivulka; Matrix product launched 2022; New York) third-party fix
- Latest release
- not applicable — not OSS fix
- License
- not applicable — not OSS fix
- GitHub
- not applicable — no GitHub repo fix
- Pricing
- not published — sales/demo only third-party fix
- Funding
- $130M total $700M val Series B · 2024-07 third-party fix
- Freshness
- 2026-10-22 fix
- Layer
- agent-infra repo fix
- Licensing
- commercial third-party fix
Memory taxonomy
- storage
- vector
- retrieval
- similarity
- persistence
- cross-session
- update
- extraction
- unit
- document
- governance
- auditable
- conflict
- none
When to use
Optimised for: matter-scoped privilege + audit + firm-precedent memory
Anti-fit: not for non-legal verticals; not for self-represented litigants
Pros & cons
Pros
Multi-doc reasoning memory — handles agent reasoning across hundreds of documents in parallel; strong with deal / diligence workflows.
Cons
Closed enterprise product; pricing tier excludes solo / small-firm market.
Claims & capabilities
$130M Series B (a16z, 2024). Centerview, Paul Weiss, Seyfarth.
Technical surface
- API surface
- searched not found
- Backend storage
- searched not found
- Deployment
- searched not found
- Embedding model
- searched not found
- Multi-tenancy
- Multi-tenant with no training on user data; built for sensitive industries (financial / legal)
- MCP
- no MCP support advertised — vertical product, no MCP server / client integration documented
- A2A
- no A2A protocol support advertised — vertical product, no A2A integration documented
- OpenTelemetry
- no OpenTelemetry integration advertised — vendor logs/observability not publicly documented
Alternatives to Hebbia Matrix → live options ranked by shared design, licence, hosting and MCP support
Similar systems
Other vertical / domain-specific ai memory in the catalog, ranked by inbound references.
- Inworld AI T1
Formerly an NPC character engine with named Long-Term Memory; now sells realtime voice models (TTS-2, STT-1, speech-to-speech) and OpenAI-compatible open-model inference. Character/NPC memory is no longer the headline product.
- NVIDIA ReMEmbR T3
Builds long-horizon memory by captioning video segments with VILA, storing captions with timestamps + 3D position coordinates in MilvusDB. At query time, LLM iterates retrieval across text, time, and position modalities. Deployed on Nova Carter robot (Jetson Orin).
- Abridge T1
Clinician-assist ambient documentation. Source mapping: every AI-generated summary element traced back to the source utterance. Audit-and-trust layer over episodic memory. Built on proprietary 1.5M+ medical-encounter dataset.
- ASAPP GenerativeAgent T1
Treats memory as first-class architecture. Captures the digital footprint of every interaction; retrieves preference and history at engagement time. Public example: airline knowing a frequent flyer wants aisle seats with her son — preference-aware, not just history-lookup.
- BenevolentAI T1
Taken private: merged into Osaka Holdings (renamed BenevolentAI S.A.) and delisted from Euronext Amsterdam 2025-03-13. Target identification / drug repurposing / mechanism tracing. 85+ data sources, petabyte-scale, rebuilt every few weeks. Wet-lab results re-enter the graph and shift downstream predictions — institutional experimental memory closing a feedback loop. As of Oct 2026 benevolent.com leads with Qor, powered by BenevolentAI, a life-science intelligence service for biopharma decision makers and consultancies. Qor (qor.one) is a continuously updated decision-intelligence service built on BenevolentAI's knowledge graph and reasoning methods: it tracks evidence on an asset or indication (competitive position, rival readouts, comparable deals), source-verifies each claim and flags when an earlier conclusion stops holding. It targets biotech teams and life-science consultancies.
- Causaly T1
Agentic AI platform for life sciences: orchestrated scientific agents over a curated biomedical knowledge graph (plus Bio Graph and Pipeline Graph), an evidence-retrieval system and an enterprise data fabric over literature, trials and patents.
Sources (29 cited facts, 7 third-party)
Each fact links to the page it came from; the badge says who published it (how to read sources).
- What it is Firm-specific configuration over multi-agent synthesis vendor
- What it does & what's distinct Corporate / transactional due diligence. Parallel AI agents across large document sets w… vendor
- Claims / benefits $130M Series B (a16z, 2024). Centerview, Paul Weiss, Seyfarth. vendor
- Modalities text vendor
- Created 2020 (founded August 2020 by George Sivulka; Matrix product launched 2022; New York) third-party
- Funding $130M total $700M val Series B · 2024-07 third-party
- Customers / scale 51-200 ppl no data (asset managers, investment banks, law firms, pharma) third-party
- Pricing not published — sales/demo only third-party
- HQ US (New York) third-party
- Memory volume / scale no scale claim vendor
- Multi-tenancy Multi-tenant with no training on user data; built for sensitive industries (financial / … third-party
- Encryption AES-256 at rest, TLS 1.3 in transit; SOC 2 Type I + Type II vendor
- SSO / RBAC SSO + RBAC vendor
- Tombstoning soft-delete only vendor
- Schema evolution schema with migration vendor
- Namespace primitives per-tenant vendor
- Contradiction handling LLM resolves and overwrites vendor
- Validated verticals legal (BigLaw, plaintiff litigation, in-house, transactional, contracts) vendor
- Time to running <1week to weeks-to-months (firm procurement + matter integration) vendor
- Anti-fit not for non-legal verticals; not for self-represented litigants vendor
- Optimised for matter-scoped privilege + audit + firm-precedent memory vendor
- Adjacent infrastructure requires DMS / case-management integration + identity provider vendor
- Pros Multi-doc reasoning memory — handles agent reasoning across hundreds of documents in par… vendor
- Cons Closed enterprise product; pricing tier excludes solo / small-firm market. vendor
- Project & sources hebbia.com vendor
- architecture-deployment-locus cloud vendor
- licensing-bucket commercial third-party
- positioning-platform-vs-product product vendor
- taxonomy-three-layer-rollup agent-infra repo
What changed
Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)