AUSTIN, Texas – Each enterprise needs to get a return on funding on their AI investments, nevertheless 80% of AI initiatives fail to make it to manufacturing. The issue isn’t whether or not or to not leverage AI, the exhausting drawback is doing that safely, and affordably, at scale. Anaconda Inc., the trusted basis for AI-native improvement, in the present day introduced it has acquired Kilo Code (aka “Kilo”), the open supply, model-agnostic agentic engineering platform utilized by greater than 3 million builders throughout VS Code, JetBrains, net, and CLI. The acquisition builds on Anaconda’s acquisition of Outerbounds earlier this 12 months, which introduced production-grade AI orchestration to the Anaconda Platform. Kilo extends that very same open basis to the place builders work and the place the place AI-native improvement begins.
Kilo grew from zero to over 3 million builders in 16 months as a result of builders really helpful it to different builders, drawn to its open supply roots and the seamless entry to the newest AI fashions from main and rising AI labs, with no vendor lock-in. They’re acknowledged by Gartner as an organization working within the heart of the AI economic system: one of many highest-volume agentic engineering product units within the AI-native improvement market, processing trillions of tokens monthly throughout industrial and open weight AI fashions inside their cloud surroundings and buyer infrastructure.
For CTOs and CIOs, the attraction runs deeper than joyful builders. As AI use scales, token prices are outpacing ROI. Kilo offers enterprises AI on their very own phrases: brokers constructed into the environments builders already use, with self-hosted choices, the liberty to run over 500 fashions, and automated number of one of the best mannequin for every activity. That steadiness of alternative and management is strictly what enterprises require to function at trillion-token scale.
That’s the place Anaconda is available in. Kilo turns into the place the place a builder’s first immediate turns into an agent’s first activity in a sequence of occasions that may finally result in an AI-native workload being pushed into manufacturing. This extends what AI workspaces means throughout the Anaconda Platform, from the packages and fashions it governs in the present day, to the instruments the place builders depend on work begins.
Kilo provides its agentic engineering capabilities to the Anaconda Platform, out there in the present day within the environments builders already use, extending Anaconda’s AI workspaces functionality deeper into the developer’s IDE and CLI. Anaconda will even join that have to the ruled packages, AI fashions, and environments that already help AI-native improvement for 95% of the Fortune 500, so builders carry the identical trusted basis from their first immediate by way of manufacturing. That deeper connection is a path Anaconda is constructing towards, not a functionality out there in the present day.
“Each enterprise we discuss to is asking the identical query: how will we let our builders transfer as quick as AI now permits, with out shedding management of what ships or failing a compliance audit,” stated David DeSanto, CEO of Anaconda. “Kilo is the place that query begins, in the meanwhile a builder writes the primary immediate. Our job is to be sure that no matter an agent builds from that time ahead runs on a basis enterprises can belief, all the best way to a future the place that belief has to carry on the scale enterprises require with out compromising on safety.”
“Kilo and Anaconda are a uncommon match: virtually no overlap, and what every of us lacks, the opposite already has,” stated Sid Sijbrandij, co-founder of Kilo Code and co-founder & government chair at GitLab. “Kilo has many enthusiastic customers doing agentic engineering with the liberty to make use of any mannequin and any supplier. Anaconda spent over a decade constructing enterprise belief; from packages to safe environments. The mix compliments one another very properly. I’m delighted Kilo was acquired by Anaconda.”
“We’re thrilled to affix Anaconda,” stated Scott Breitenother, CEO and co-founder of Kilo Code. “Anaconda has spent a decade incomes belief throughout the open supply group and inside the most important enterprises on the earth, belief we’ve admired and now get to construct on instantly. We’re excited to carry Kilo to Anaconda’s group and help the trusted basis for AI-native improvement the corporate pioneered.”
