About Anaconda
Build, Secure, and Operate AI on Your Own Terms
For more than a decade, builders have started their data science and AI work with Anaconda. Today, enterprises use the Anaconda Platform to build, secure, and operate AI with the models, tools, and infrastructure they have chosen.
Trusted by Builders and the Fortune 500
Anaconda users
Kilo developers
Global organizations
of the Fortune 500
Our History
Peter Wang and Travis Oliphant founded Anaconda in 2012, convinced that open-source tools could change how people work with data. Anaconda pioneered Python for data science and became the place where builders start.
Today, more than 50 million people use Anaconda, from students writing their first scripts to enterprises running AI in production. Our goal is the same as it was in 2012: give teams a trusted foundation so they spend their time building, not fixing environments or chasing dependency conflicts.
In 2026, we extended that foundation across the AI lifecycle with three acquisitions in six months. Outerbounds brought production orchestration built on Metaflow, which was created at Netflix. Kilo Code brought an open-source agentic coding platform with more than 5 million developers. Enkrypt AI brought security and guardrails for AI models, agents, and MCP servers.
Today, the Anaconda Platform helps enterprises build, secure, and operate AI across the models, tools, clouds, and infrastructure they already use, without locking them into a single vendor.
Our Leadership Team
David DeSanto
Chief Executive Officer
Jane Kim
Co-President and Chief Commercial Officer
Laura Sellers
Co-President and Chief Product and Technology Officer
Peter Wang
Chief AI and Innovation Officer and Co-founder
Stewart Grierson
Chief Financial Officer
Vanessa MacIlwaine
Chief People Officer
Megan Niedermeyer
Chief Legal Officer
Justin Farris
Chief of Staff
Recognized Industry Leadership
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Build and Scale an AI Dev Factory You Can Trust
See how Anaconda brings security, governance, and cost control to the AI stack you already have. Start where fragmentation creates the most friction.
HOW IT WORKS
Complete the form, and we’ll reach out within 1 business day to discuss your requirements. Then, we’ll build a demo that addresses your real challenges.
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Anaconda Frequently Asked Questions
What does Anaconda do?
Anaconda helps enterprises build, secure, and operate AI at scale, on their own terms.
Enterprise AI stacks tend to grow piece by piece. Packages come from one place, models from another, and agents and security tools arrive as teams need them. Work that runs in a notebook becomes hard to reproduce, secure, and run in production.
The Anaconda Platform gives teams one trusted foundation across that stack. It provides trusted packages, models, and agents to build with, security and guardrails from development through runtime, and orchestration that moves AI into production on the infrastructure you choose.
What is the Anaconda Platform?
The Anaconda Platform brings four capabilities together:
- AI artifacts: Open-source packages that Anaconda builds from source, and open-weight models benchmarked and documented with security scores. Packages are signed before publication and come with a software bill of materials (SBOM). Models come with an AI bill of materials (AIBOM) covering provenance, licensing, and composition.
- AI workspaces (build): Approved models, agents, and reproducible environments in the tools builders already use. Route requests to approved models to control costs.
- AI security and guardrails (secure): Test models, agents, and Model Context Protocol (MCP) connections before release. Apply guardrails at runtime, and keep audit-ready evidence of what ran.
- AI orchestration (operate): Repeatable, traceable workflows that move from development to production across cloud, hybrid, on-premises, and sovereign environments.
You can deploy it as managed cloud, self-hosted cloud, or on-premises. AI Artifacts are also available for air-gapped networks.
What are Kilo and Enkrypt AI?
Both joined Anaconda through acquisitions in 2026.
Kilo is an open-source agentic coding platform for VS Code, JetBrains, and the command line. More than 5 million developers use it, with their choice of AI model.
Enkrypt AI secures AI models, agents, and MCP servers with red teaming and runtime guardrails. Its compliance mapping covers the EU AI Act and the Health Insurance Portability and Accountability Act (HIPAA). It also covers frameworks from the National Institute of Standards and Technology (NIST).
Each is available as its own product. Kilo · Enkrypt AI
What is Anaconda Distribution?
Anaconda Distribution is a free installer for getting started with Python for data science and AI. It includes Python, conda, Jupyter Notebook, JupyterLab, and thousands of vetted packages.
Want something lighter? Miniconda includes only conda, Python, and a small set of packages. Download
What is conda?
Conda is the open-source package, dependency, and environment manager at the center of Anaconda. It runs on Windows, macOS, and Linux (x86-64, AArch64, ppc64le, and s390x). It manages packages for Python, R, C/C++, Rust, Go, and more.
Because conda resolves dependencies and captures whole environments, work that runs on one machine can be rebuilt on another. Conda documentation
Who uses Anaconda?
- Builders: Developers, data scientists, and AI engineers use trusted packages, models, and agents in the tools they already know.
- Platform and machine learning (ML) teams: They run repeatable workflows from development to production.
- Security and compliance teams: They validate what enters the environment and keep guardrails in place at runtime.
- Technology leaders: They scale AI while keeping control of cost, choice, and risk.
- Students, researchers, and educators: They use Anaconda to learn Python and do research.
How do organizations use Anaconda?
- Governing open-source packages across large development teams
- Giving AI builders approved models and agents without lock-in
- Testing and securing AI agents before they ship
- Running ML and AI workflows reliably in production
Does Anaconda work with the tools and clouds we already use?
Yes. Anaconda works across the models, packages, developer tools, data platforms, clouds, and infrastructure you’ve already chosen.
Anaconda technology and trusted packages are integrated into offerings from AWS, Microsoft, Snowflake, and others. The Anaconda Platform is available on AWS, Databricks, Snowflake, and more.
How is Anaconda connected to Python?
Anaconda pioneered Python for data science. Since 2012, we’ve made Python easier to install and manage, supported its community, and stewarded the open-source projects builders depend on.
How much does Anaconda cost?
How does Anaconda keep open source and AI secure?
Anaconda builds security into the development workflow. Depending on your plan, Anaconda can:
- Scan packages and models for vulnerabilities, license issues, and malicious code before they reach developers
- Curate Common Vulnerabilities and Exposures (CVE) data and verify package signatures
- Red-team models, agents, and MCP servers before release
- Apply guardrails at runtime and control access to tools and data
- Log activity for audits and generate SBOMs and AIBOMs
Where can I get support?
Customers can open tickets and find help in the Support Center. Anyone can browse the documentation, ask the community forum, or check system status.