We’re leveraging AI to solve one of the most consequential challenges in the pursuit of technical progress: the distribution of scientific innovations to
the real world. We’re well-funded with top investors and are building a world class team.
For innovations to have broad impact, they must scale beyond the lab. For too long, the transfer of discoveries from lab bench to real-world application has relied on informal handoffs, tacit know-how, and opaque processes and is littered with failed attempts and learnings buried in lab notebooks. The industry has quietly accepted this agonizingly slow process and inability to broadly reproduce and distribute new discoveries. We’re determined to support a new paradigm that ensures new scientific innovations can be more robust, interpretable, and transferable.
We are building processes and cutting-edge AI tools that aim to illuminate and streamline these critical transfers of knowledge. We learn as much, if not
much more, from failures as successes, transforming experimental science into robust, scalable solutions.
We aren’t building AI to replace human ingenuity, but rather AI that can be a better partner in understanding and translating that ingenuity to new domains. We seek to build tools that help scientists spend less time documenting and debugging and more time doing the exploration they love. To be clear: we believe this will become critical infrastructure. Without solving for scale and knowledge distribution, the discoveries that will be enabled by great scientists at the bench and generative AI designs will fail to reach their end customer: us.
If this resonates with you, we invite you to apply or partner with us. Our team moves fast, thinks deeply, and believes that rigorous, creative collaboration
can solve the most meaningful problems in science.
