List of Chroma Customers
San Francisco, 94114, CA,
United States
Since 2010, our global team of researchers has been studying Chroma customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Chroma for AI Database from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Chroma for AI Database include: Boomi, a United States based Professional Services organisation with 2600 employees and revenues of $520.0 million, Weights and Biases, a United States based Professional Services organisation with 180 employees and revenues of $20.0 million, Factory, a United States based Professional Services organisation with 120 employees and revenues of $10.0 million and many others.
Contact us if you need a completed and verified list of companies using Chroma, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Chroma customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Boomi | Professional Services | 2600 | $520M | United States | Chroma | Chroma | AI Database | 2025 | n/a |
In 2025, Boomi deployed Chroma as an AI Database to power a Help Documentation Advisor that supports a customer support help-desk assistant in the United States. The project was executed with partner Tribe AI and delivered a working prototype in four weeks, meeting an early production readiness milestone for retrieval-driven support use cases.
The implementation used Chroma as an in-memory vector store, configured for document ingestion, vectorization, and embedding-based retrieval to surface sourceable references alongside generated answers. Chroma was employed to index help documentation and execute nearest-neighbor retrieval queries, enabling the assistant to return more precise, citation-linked responses during support interactions.
Integration work focused on the retrieval pipeline feeding the help-desk assistant and the operational ingestion of support documents and manuals, enabling real-time query resolution inside customer service workflows. Operational scope centered on Boomi customer service in the United States, where the Help Documentation Advisor augmented agent and self-service interactions.
Governance and rollout were oriented around rapid prototyping and iterative refinement, with Tribe AI collaborating on model prompts, retrieval tuning, and reference tracing to ensure answer sourceability. Outcomes reported included faster prototype delivery, more precise answers, and sourceable references that improved the help-desk response experience.
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Factory | Professional Services | 120 | $10M | United States | Chroma | Chroma | AI Database | 2025 | n/a |
In 2025, Factory implemented Chroma to power its Droids for code and package search, embedding an AI Database capability directly into agent-driven engineering workflows. The deployment uses Chroma Cloud as the cloud-hosted retrieval layer, and Factory positioned Chroma to support software development and engineering functions in the United States.
The implementation centers on Chroma Cloud's serverless semantic and regex search features, which are configured to serve agentic coding workflows. Functional capabilities implemented include semantic code retrieval, regex-based indexing and search across package artifacts, and runtime retrieval endpoints consumed by automated development agents.
Integrations are concentrated on Factory's Droids, with agent workflows invoking Chroma Cloud for semantic and regex search during development tasks. Operational scope is United States based and focused on software engineering teams running agent-driven coding processes.
Governance and rollout emphasized embedding Chroma into existing agent orchestration and coding pipelines, with public statements noting that Factory's Droids rely on Chroma Cloud's serverless semantic and regex search to boost agent coding benchmark performance. The deployment is described as improving retrieval accuracy for agent-driven engineering tasks such as software development.
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Weights and Biases | Professional Services | 180 | $20M | United States | Chroma | Chroma | AI Database | 2024 | n/a |
In 2024, Weights and Biases implemented Chroma, an AI Database, to support generative benchmarking and retrieval evaluation for developer facing ML workflows. The engagement focused on validating retrieval and RAG performance using production data as an operational testbed rather than theoretical bench results.
Chroma was configured to run targeted retrieval evaluation and retriever tuning workloads, with implemented capabilities aligned to vector storage, similarity search, and evaluation harnesses typical of AI Database deployments. The work produced tooling and configuration patterns to exercise retrievers against real prompts and response chains, enabling repeatable benchmarking runs and parameter sweeps for retriever behavior.
The implementation ingested Weights and Biases production datasets to validate retrieval quality and end to end RAG performance for development and MLOps workflows, the project execution occurred in the United States. The scope emphasized developer facing scenarios and production RAG pipelines rather than enterprise wide content indexing, keeping operational coverage centered on ML teams and developer workflows.
Governance artifacts from the engagement included benchmarking artifacts and documented methods used to tune Chroma retrievers, these artifacts were applied to improve ML developer outcomes in production RAG scenarios. The produced benchmarking artifacts and methods codified evaluation criteria and retriever tuning steps for ongoing operational use.
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Buyer Intent: Companies Evaluating Chroma
- Everest Group, a United States based Professional Services organization with 550 Employees
- Dragonflydb, a Israel based Professional Services company with 20 Employees
- AXA Venture Partners, a France based Banking and Financial Services organization with 50 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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