Anaconda, Inc.’s cover photo
Anaconda, Inc.

Anaconda, Inc.

Software Development

Austin, Texas 100,938 followers

Anaconda is the only unified platform built to advance AI with open source.

About us

Anaconda is built to advance AI with open source at scale, giving builders and organizations the confidence to increase productivity, and save time, spend and risk associated with open source. 95% of the Fortune 500 including Panasonic, AmTrust, Booz Allen Hamilton and over 50 million users rely on the value The Anaconda AI Platform delivers through a centralized approach to sourcing, securing, building, and deploying AI. With 21 billion downloads and growing, Anaconda has established itself as the gold standard for Python, data science, and AI and the enterprise-ready solution of choice for AI innovation. Anaconda is backed by world-class investors including Insight Partners. Learn more at https://www.anaconda.com.

Website
https://www.anaconda.com/
Industry
Software Development
Company size
201-500 employees
Headquarters
Austin, Texas
Type
Privately Held
Founded
2012
Specialties
Big Data Analytics, Python, SciPy, NumPy, Python Training, Python Consulting, Web-Based Python, Local Python Installs, Machine Learning , Data Science, High Performance Analytics, Predictive Analytics, Big Data Visualization, AI, LLMs, and Predictive Modeling

Locations

Employees at Anaconda, Inc.

Updates

  • Exciting progress from the conda community! Sharded Repodata (CEP 16) is now in beta, delivering up to 10x faster environment solves and 35x reduction in network transfer for conda-forge users. This community-driven innovation demonstrates how open source collaboration continues to advance the Python ecosystem - exactly the kind of improvement that benefits millions of practitioners worldwide. #conda #Python

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    Anaconda.org and conda adopt sharded repodata! 🎉 🌟 More details and beta opt-in instructions: https://lnkd.in/grmE8B3v Sharded repodata, introduced by prefix.dev in CEP 16, splits large channel repodata files into per-project shards so clients fetch only what they need. This brings significant speedups through reduced bandwidth and memory use. As part of this beta, shards that have been available on prefix.dev channels are now also served on Anaconda.org for the conda-forge channel: 🔹 Conda users can opt in to the beta and see the improvement when using conda-forge. 🔹 Pixi and rattler-build support sharded repodata by default, so they benefit automatically. This work shows what collaboration across the community can achieve! Huge shoutout to the conda-forge community, prefix.dev, Quansight, QuantStack and Anaconda, Inc. for making this possible. ❤️

  • Python’s rise as the backbone of modern AI brings new pressures for enterprises. In The New Stack, Anaconda Field CTO Steve Croce breaks down why Python’s openness — its greatest strength — requires new paths to address security, performance, auditability and governance. As organizations scale AI, they need clearer visibility into code, dependencies and runtime behavior. Steve explores how intentional governance can help Python continue powering reliable, enterprise-grade AI: https://bit.ly/48NLhlf #python #enterpriseAI #Anaconda

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  • Traditional tools can only take you so far - especially as data volumes grow and analysis becomes more complex. Join us on December 10 for a live webinar featuring John Wengler, Executive Director at CIBC, who transformed his workflows with #Python and Anaconda. Learn how he cut significant time from daily processes while navigating governance requirements in a highly regulated environment. You’ll walk away with: ✔️ Strategies for managing complex datasets with Python ✔️ Approaches to automation that deliver real cost savings ✔️ Tips for addressing internal audit concerns and gaining organizational buy-in ✔️ An overview of Anaconda’s secure enterprise tools for financial services Register today: https://bit.ly/48Cs5py

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    100,938 followers

    AI agents handle routine tasks easily, but what about the gray areas? Anaconda Senior Developer Relations Engineer Daina Bouquin shows how “human-in-the-loop” agents keep automation efficient while pausing for human judgment when nuance matters. Her LangGraph tutorial walks through building one from scratch — starting simple, then adding Claude to handle more complex, natural-language decisions. 🔗 Ready to build something smart? Check out the full tutorial: https://bit.ly/4o5OyAN

  • Join Anaconda & NVIDIA at Amazon Web Services (AWS) re:Invent today! Stop by NVIDIA’s booth #1022 today at 6:30 PM to hear from Anaconda’s VP of Engineering Alan McCarty about how automation is simplifying CUDA dependency management and making installation smoother. 💡 Don’t miss this opportunity to discover how Anaconda and NVIDIA are improving the developer experience together — and don’t forget to stop by our booth #1327: https://bit.ly/4nIhKOW

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  • Compliance, data sensitivity, and cost challenges are creating friction for enterprises moving AI experiments to deployment. In TechSpective, Anaconda’s VP of AI Product Seth Clark discusses how AI Catalyst helps close that gap—offering transparency, governance, and flexibility through a VPC-first approach and curated open source models. Meet the pragmatic path to making enterprise AI predictable and secure. Read the full story: https://bit.ly/4ioAul1

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  • ICYMI: AI Catalyst launched last week in the Anaconda Platform. The gap we're closing: Teams want to move fast with open source AI, but security reviews, infrastructure setup, and model validation create weeks of delays. What AI Catalyst delivers: → Curated model catalog – Pre-vetted open source models with complete AI Bills of Materials, security assessments, and performance benchmarks → Production-ready optimization – Quantized models that reduce infrastructure costs while maintaining performance → Flexible deployment – Customers on @AWS can run locally for development, deploy to GPU endpoints in their Amazon Virtual Private Cloud for production → Enterprise governance – Custom policies, audit trails, and compliance documentation built in Organizations are using AI Catalyst to move from prototype to production in days instead of months – without compromising on security. See how it works: https://bit.ly/4rb5tok

  • With Thanksgiving around the corner, our engineering team cooked up something special — a new Thanksgiving channel! 🦃 With just a single command, you can “prepare” a full Thanksgiving dinner (or install dishes à la carte like turkey, mashed potatoes, gravy, and more). Check it out on anaconda.org, and from all of us at Anaconda, Happy Thanksgiving! 🍂🥧

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Funding

Anaconda, Inc. 8 total rounds

Last Round

Series C

US$ 150.0M

See more info on crunchbase