Editor view
A familiar full-stack surface. Direct file edits, tab completion and review diffs stay one keystroke away.
Agentic development studio
Z11 pairs senior engineers with autonomous agents to design, build and verify production AI systems — from the first prompt to a shipped product.
A familiar full-stack surface. Direct file edits, tab completion and review diffs stay one keystroke away.
Run several agents in parallel across workspaces, then hand any task back to a human without losing context.
Every change ships with a walkthrough: tests run, screenshots taken, feedback captured and folded back in.
Capabilities
Integrating neural network models into existing systems or software applications, enabling businesses to leverage AI capabilities seamlessly. In today's fast-paced…
Learn moreIntegrating neural network models into existing systems or software applications, enabling businesses to leverage AI capabilities seamlessly. In today's fast-paced…
Learn moreIntegrating neural network models into existing systems or software applications, enabling businesses to leverage AI capabilities seamlessly. In today's fast-paced…
Learn moreIntegrating neural network models into existing systems or software applications, enabling businesses to leverage AI capabilities seamlessly. In today's fast-paced…
Learn moreIntegrating neural network models into existing systems or software applications, enabling businesses to leverage AI capabilities seamlessly. In today's fast-paced…
Learn moreProof
In today’s fast-paced and data-driven world, businesses are constantly seeking innovative ways to gain a competitive edge, make smarter decisions, and deliver exceptional customer…
In today’s fast-paced and data-driven world, businesses are constantly seeking innovative ways to gain a competitive edge, make smarter decisions, and deliver exceptional customer…
Selected work
Handover
No black boxes. Each task ends with the diff, the tests that ran and a walkthrough you can comment on — so feedback goes straight back into the build.
Meet the team# task 042 — predictive maintenance
agent planned 7 steps, wrote 3 files
test 214 passed in 38.2s
verify captured 6 screenshots
notes 1 question for the client
? Should retraining run nightly or on drift?
People
Get started
Send us the problem. We reply with an architecture sketch, an estimate and a plan for the first two weeks.