Let AI do the work. Keep the yes.
Your sideOur side
AI for product development
Let agents write the code. Your team looks at the decisions.
Your sideThe team is trying AI tools, but the product isn't shipping any faster.
Our sideWe set agents to work in your repositories and choose together which steps wait for your yes. It is how we built our own product, nodConsole.
AI for product management
Know what comes first, every morning.
Your sideFeedback, data and requests pile up, and what comes first stays unclear.
Our sideWe build a flow that reads the pile and lines it up: what's done, what's running and the decision waiting for you, on one screen. You set the priority.
AI transformation
Describe the job once. Let it run on its own.
Your sideEveryone is trying their own tool, and the work still runs by hand.
Our sideWe find the flow that eats the most time and turn it into a workflow that runs on its own. One we built answers the phone in Turkish at a call centre and writes the request into the CRM.
AI product strategy
Know where not to put AI, too.
Your sideThere is pressure to add AI to the product, but what the user gains isn't clear.
Our sideWe describe the user's job and choose the one place where AI changes the outcome.
AI for compliance workflows
On audit day, the documents are already there.
Your sideAudits, documents and approvals run by hand, and errors and delays cost money.
Our sideWe hand the checks and the document drafts to AI and keep the decision and the record with people. We built document generation end to end in our own product, nodWrite.
Software development
The prototype you made in a day should carry real users.
Your sideAI gave you a prototype, but it isn't solid enough to ship.
Our sideWe take on security, tests, release and maintenance. The prototype becomes a product that also works at 3 a.m.