Hebbia
Active
AI research platform that analyzes and reasons over large document sets.
Hebbia provides AI document reasoning and institutional intelligence for finance, legal, consulting, and Fortune 500 teams, helping users analyze large collections of documents for high-stakes decisions.
Positioning
AI document reasoning platform
Key facts
- HQ location
- New York, NY, USA
- Founded
- 2020
- Employee range
- 51-200 (51-200)
- Funding stage
- Series B
- Company type
- Private (Private)
- Pricing model
- Subscription (Enterprise SaaS)
- Last updated
- Jun 21, 2026
Revenue estimate
Unknown
Valuation estimate
$700M valuation (Series B, Jul 2024)
Investments
$161M+ total funding; $130M Series B led by Andreessen Horowitz in Jul 2024
Target customers
Financial and legal teams
Key competitors
Harvey, Glean, Palantir
Known customers
Unknown
Classification (raw research text)
- Core focus
- AI research automation
- Core industry
- Enterprise Software
- Core category
- Document analysis AI
Shown verbatim from the research spreadsheet — deriving structured segment/industry tags from this text is a future phase.
Attribute breakdown
- AI Workflows Secondary feature
- AI Automation / Business Process Automation Secondary feature
- Agent Builder / Agent Configuration Secondary feature
- Multi-agent Orchestration / Runtime Secondary feature
- System / API Integration Secondary feature
- Retrieval-Augmented Generation Primary focus
- Enterprise Search / Knowledge Management Primary focus
- AI / LLM Data Pipeline Secondary feature
- Document AI / Document Processing Primary focus
- AI Security / Guardrails Secondary feature
- Data Privacy / PII / Confidential AI Secondary feature
- AI Risk / Compliance Secondary feature
- Human-in-the-Loop Review / Feedback Secondary feature
- Text Chatbots / Conversational Assistants Secondary feature
- Analytics / BI / Decision Intelligence Secondary feature
- Vertical-Specific AI Primary focus
Show all 32 attributes
- AI Workflows Secondary feature
- AI Automation / Business Process Automation Secondary feature
- AI Fine-tuning / Custom Model Training Not emphasized
- Agent Builder / Agent Configuration Secondary feature
- Multi-agent Orchestration / Runtime Secondary feature
- System / API Integration Secondary feature
- Prompt Management / Prompt Engineering Not emphasized
- Retrieval-Augmented Generation Primary focus
- Graph RAG / Knowledge Graph Retrieval Not emphasized
- Enterprise Search / Knowledge Management Primary focus
- AI / LLM Data Pipeline Secondary feature
- Document AI / Document Processing Primary focus
- Model Deployment / Inference Infrastructure Not emphasized
- Traditional Machine Learning Not emphasized
- AI Quality Assurance / LLM Evaluation Not emphasized
- AI Observability / Monitoring Not emphasized
- AI Security / Guardrails Secondary feature
- Data Privacy / PII / Confidential AI Secondary feature
- AI Governance / Policy Management Not emphasized
- AI Risk / Compliance Secondary feature
- AI Asset Inventory / Model Registry Not emphasized
- Human-in-the-Loop Review / Feedback Secondary feature
- Call Transcription / Speech-to-Text Data Capture Not emphasized
- Conversation Intelligence / Speech Analytics Not emphasized
- Text Chatbots / Conversational Assistants Secondary feature
- Voice AI Agents Not emphasized
- Voice Infrastructure / STT / TTS Not emphasized
- AI for Customer Experience / Support Automation Not emphasized
- Sales / Revenue Intelligence Not emphasized
- Analytics / BI / Decision Intelligence Secondary feature
- Enterprise App / Internal Tool Builder Not emphasized
- Vertical-Specific AI Primary focus