An AI lab that advises, trains and builds. Every recommendation is played forward in Glasshouse, our platform that mirrors your world, before it reaches your board.
We work with leaders making consequential calls. You bring the decision. We model the people who will react to it, run the scenario, and hand you a reading you can audit: claims footnoted, runs diagnosed. Want it built? We build it too.
Weekly sessions with the leaders making the call. Quick decisions to six-month engagements.
Recommendations are pressure-tested in Glasshouse before they reach your board. AI strategy, your next big move, a build-versus-buy call: you see how it plays out first.
You leave with decisions you can defend: a living roadmap, architecture decision records, a build-vs-buy matrix, a governance playbook.
Clients include Amwaj Financial
Explore advisoryThree tracks. Leaders, executives and engineers.
You leave with agents you keep, a rollout plan and a measured before-and-after.
Clients include Octave
See the tracksWhen the recommendation is "build it", we build it.
Custom AI systems on your stack, handed over. Custom model training on your data, your weights. On-prem infrastructure, sourced to running.
You leave with a running system your team owns, and the knowledge to run it.
When you want it builtGlasshouse builds a living mirror of your market from real conversations. It plays your move forward. You see the likely outcomes first.
Tell it1 the decision and attach the documents behind it. Glasshouse drafts the scenario2, the question the room will answer; nothing runs until you approve. It polls a Library of stakeholder profiles, and the most interested become the cast3: synthetic personas with a job, a stake and a temper. The cast rehearses4 over timed rounds across up to six simulated platforms. The reading5 gives a recommendation, its confidence and the numbers behind it. Every claim keeps its receipt, and Diagnostics say how far to trust it.
Pick one voice out of the crowd and ask why it said that, then what would change its mind. It answers in character, and every answer cites the run.
Sample run · synthetic cast
Because I drive at five in the morning and pay the peak rate for the privilege. An off-peak rate that reaches me is the first tariff change in years that does.
If the off-peak window ends before my shift starts. Petra thinks the peak rate lands on shift workers; if she is right about the hours, she is right about me.
Agent orchestration for teams that ship production code.
/brew "<your intent>" plans the work, asks the few hard questions, then hands back a PR with tests your engineers can review. No mid-run check-ins. Your source stays on your infrastructure. We build Glasshouse and this site on it.
One request, one Q&A round, then plan, decompose, execute, verify, PR.
ReadEighteen months of internal use, opened to ten design partners.
ReadEight-week engagement, custom momentum models, continuous-evaluation loop.
ReadCreative Human AI is an AI lab in Berlin, founded in 2022. We advise, upskill, equip and build, and we use Glasshouse and Brew Chai every day on our own work. Made in Germany, built for the world.
Want it built? We build fast and well on Brew Chai, and we teach your team to do the same.
Bring us a scenario