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The execution layer for enterprise work.
A category defined by what runs in production, a thesis three years ahead of the market, and a company built to stay small while the work compounds.
Enterprise AI will not be won by selling smarter software into the enterprise. It will be won by the firms that already hold the relationship and the expertise: the consultancies. Beyond Work is the execution layer they build on. A consultant who has spent fifteen years on supplier onboarding writes down the Workblock that does it for the next ten. It runs inside the client's own tenant, pauses for a person where judgement counts, and carries its author's name on every run. What used to leave with the team at the end of an engagement now stays, and compounds.
The economics are the other half of the thesis. Most AI platforms send every request through a model, every time, so the bill grows with the use. We build software. AI and expert humans design the system of work once, software runs it, and AI returns only where judgement is needed. Intelligence becomes an asset the enterprise owns, not a bill that grows. Doing that takes two kinds of discipline. Smart enough to build the 90% behind the interface that lets an enterprise actually deploy AI: infrastructure, architecture, security, governance, scale. And disciplined and experienced enough to give the AI rails and boundaries, so it produces a dependable product every time rather than a plausible one once.
Some of the largest consultancies in Europe build on the platform today, and the network is expanding across the United States.
Built by people who have built this before.
Founded in May 2024 by Christian Lanng, who built and scaled the world's largest enterprise trade network at Tradeshift; Joakim Recht, one of four Distinguished Engineers at Uber; and Malte Højmark-Bertelsen, a cognitive scientist who trained a Nordic language model two years before ChatGPT shipped.