We're AI skeptics (or realists) building the next generation of AI infrastructure.
In 3-5 years, the definition of “user interface” will change significantly, and we’re building to enable the next generation of software primitives to drive growth by wrangling unstructured information and business processes.
We leverage the power of LLMs to create a new interface between humans and systems to build the interoperability holy grail. We deeply believe that software has failed its promise for most enterprises, and our mission is to deliver on that promise.
At bem, we're building the ambient computing platform powering the future of software. Incredible components and primitives that deliver actual impact to engineering teams and the users who benefit from their products.
We believe anthropomorphizing AI by creating agents or RPA is a bandaid solution, and not the ultimate answer. That's why we choose to focus on building reliable and inspectable production infrastructure, not metaphors.
We're a team of machine learning engineers and operators with deep expertise in mission-critical automation and data engineering. We're guided by founders with multiple previous exits and a team who have built and scaled automation platforms within the toughest industries.
Each member of our team provides strategic value that shapes the future of bem - we seek flag raisers with a focus and dialogue on the big picture, with obsession over details.
We're an honest, intentional team that is obsessed with getting things done and building great software. We don't take ourselves too seriously but we take our jobs seriously.
Everyone at bem has an opinion on the direction of the company - and takes action on their piece of it
Old frameworks don't work for us - across bem, we build our own context
We run a tight ship, so things can't slide. Great platforms are built by accountable teams
No one at bem is the most right person in the room. We disagree, commit, and learn
We're building a generational company and focus on outcomes, not market noise
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