Today we are stepping out of stealth. BasedAI is an open source AI company building the infrastructure and applications that businesses need to put autonomous agents to work. Our first product, Hirebase, is launching in closed Beta alongside this announcement, and our developer API layer, BasedAPIs, is the open-weight foundation underneath it.
We started BasedAI because the next decade of AI will not be decided by who trains the largest closed model. It will be decided by who turns open source AI into infrastructure that businesses can actually run, govern, and build on. That is the gap we are here to close.
The thesis: open source AI needs a commercialisation layer
Open source models have caught up. Open-weight systems are now competitive with the closed frontier models on most enterprise tasks, and they are improving exponentially faster.
What is still missing is the layer above the model. Open weights alone do not give a business compliance, uptime, integrations, agent orchestration, or a way to deploy execution across the tools their teams already use. That is the role that Red Hat played for Linux, and it is the role we are building for open source AI.
We call this the commercialisation layer. It is the difference between a model you can download and an AI workforce you can run.
A vertical stack, not a single product
BasedAI is a parent company with a vertical stack of products, each addressing a different layer of the open source AI opportunity:
Hirebase is our flagship application layer. It lets founders, operators, and businesses hire autonomous AI employees that execute work across Google Workspace, HubSpot, Apollo, Notion, WordPress, Vercel, Stripe, Telegram, Signal, Calendly, LinkedIn, Instantly, and the other tools their teams already use. Hirebase is in closed Beta from today.
BasedAPIs is our enterprise-grade open-weight model API. It gives developers access to leading open models with the SLAs, observability, and pricing that production workloads require.
Warden App technology is the multi-agent orchestration stack we have acquired and integrated into BasedAI. It was originally built for agent-led workflows in digital finance, and it now underpins persistent, multi-step execution across the BasedAI stack.
Each layer is useful on its own. Together, they let a business move from prompting a model in a chat window to running an AI workforce that actually finishes work.
The Warden App acquisition
The launch follows our strategic acquisition of Warden App's platform IP, its proprietary multi-agent orchestration stack, and its team of builders. Warden's App engineering team has joined BasedAI and is now leading the orchestration work that powers Hirebase and the broader stack.
We picked Warden because the team had already solved problems most agent companies are still discovering: how to keep multiple agents coordinated across long-running tasks, how to handle state across tools, and how to do all of that under the security expectations of regulated environments. That foundation accelerated our roadmap by years, not months.
Backed to build for the long term
BasedAI has secured initial funding from investors including Arche Capital to support product development, infrastructure expansion, and the rollout of Hirebase. The backing gives us the runway to build the stack properly rather than ship a thin wrapper around someone else's model.
The leadership team is purpose-built for the opportunity. Teana Baker-Taylor (Chief Executive Officer), formerly of Citi, HSBC, Circle, and Venice AI, leads the company. Josh Goodbody (Chief Operating Officer) joins from J.P. Morgan and Binance. David A. Johnston (Chief AI Officer) brings deep open source AI experience from Morpheus AI.
Our board is chaired by Vanessa Grellet, formerly of NYSE and ConsenSys, with advisors including Michael Casey (formerly of CoinDesk and The Wall Street Journal), Matthew Roszak of Bloq, and William Wolf of Arche (formerly of Polychain Capital).
What we are building toward
Our north star is straightforward: businesses should be able to deploy AI the way they deploy software today, on open foundations they can audit, govern, and afford.
That means making open source models enterprise-ready by default, making agents reliable enough to put on a team's roster, and making the whole stack simple enough that a founder can spin up an AI workforce without a six-month integration project.
Hirebase is the first proof point. The rest of the stack is already in motion.
If you want to put open source AI to work in your business, we would love to hear from you.