An independent lab studying how a person's intent stays in charge of AI's work, from a brief in plain words to a checked, signed result. Our first field is engineering.
Using AI usually hands the work back to you: turn what you meant into exact steps, then check every line of the answer yourself.
We build the opposite. You say what you want in your own words, the work gets done and checked, and you keep the one decision that matters: whether to sign.
Each problem below comes from the work itself: a steel fabricator we build with, a practising architect we interviewed, and a real consultant's drawing we worked from. Nokkam prepares the fix. A person signs it.
Photographs on this page are generated illustrations.
When a client changes the span, the whole quote starts again.
Nokkam turns the enquiry into a frame, drawings, quantities and a quote on the shop's own rates.
Nothing reaches the client until the shop signs it.
Imported CAD lines and furniture add more of them.
Nokkam groups the clashes by root cause and gives each one an owner.
The project architect signs every stage.
On one real drawing we worked from, the power factor controller needed current transformers the drawing did not show.
Nokkam reads the single line diagram and drafts the layout drawings and a bill of materials that marks every line as read from the drawing, derived, or estimated.
Nothing is for construction until a licensed electrical engineer signs.
Nokkam is where that thesis meets one kind of work: an engineering firm's own drawings, models and files. A person states the brief. AI drafts the work. The person checks it and signs.
How a session runs, the trades it covers and where each part stands today are written out in full on nokkam.ai.
Every draft arrives with the numbers it used and the sources it read, in the order you would check them yourself. You approve it, edit it, or send it back.
Before Nokkam runs on live work we replay it against jobs your team has already finished and count three things: what it matched, what it stopped to ask about, and what it got wrong while sounding certain.
The third count has to be zero.
Free courses for engineers and students who work with AI, built from what our own teams study. Courses by level and tutorials with code. The first course: AI Systems Engineering, 14 lessons in four modules, from the Transformer to production agents.
