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Company profile

Hebbia Tech Stack

Generative AI agents for investment research and financial analyst workflows

Software Development New York, NY 51–200 employees Founded 2020 Privately Held

Hebbia builds AI agents that let investment banks and asset managers search filings, research and internal documents and generate citation-backed analysis. Its stack pairs Go, Rust and C++ with Kafka, Elasticsearch and Spark across AWS, Azure and GCP, a systems-level, multi-cloud profile matching projects like a custom multi-agent framework and universal indexing. Hiring is accelerating and skews heavily toward senior engineers, with cloud cost control a recurring pressure.

Tech Stack 36 technologies

What Hebbia Is BuildingChallenges and projects from their job posts

◆Challenges

  • Manual GTM workflows and unautomated lead enrichment
  • Driving down cloud spend and over-provisioning
  • Hardening infrastructure for compliance
  • Performance at scale across massive datasets
  • Handling complex banking workflows

▲Active Projects

  • Custom multi-agent framework
  • O(1) universal indexing
  • High-scale document build system
  • Scaling the Matrix platform team
  • AI-powered workflow development
  • Pricing experiments

Hiring Activity

Accelerating35 roles · 3 in 30d

Department

Engineering
19
Sales
5
Ops
4
HR
3
Product
3

Seniority

Senior
26
Mid
4
Director
2
Junior
1
Principal
1
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About Hebbia

Hebbia is a New York-based generative AI company founded in 2020 with 51–200 employees. It sells to financial institutions, including investment banks and large asset managers, automating analyst work such as research, screening, origination and diligence. The product surfaces insights across filings, research and large volumes of internal documents, and generates documents, presentations and spreadsheets with citations. The company is privately held and hires in the United States and United Kingdom.

HeadquartersNew York, NY
Company Size51–200 employees
Founded2020
Hiring MarketsUnited States, United Kingdom

Frequently Asked Questions

What tech stack does Hebbia use?

Hebbia uses Python, Go, Rust, C++ and Java with Kafka, Elasticsearch, PostgreSQL, Redis, Spark, Airflow, dbt and Snowflake, running across AWS, Azure and GCP. Sales tools include Salesforce, Outreach, Gong and Apollo.

Is Hebbia hiring engineers?

Yes. Engineering is Hebbia's largest hiring area, with demand concentrated at senior level, alongside smaller needs in sales, operations, HR and product across the United States and United Kingdom.

What is Hebbia working on?

Job posts point to a custom multi-agent framework, universal document indexing, a high-scale document build system, scaling the Matrix platform team and AI-powered workflow development.

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How this profile is built

Hebbia's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.