One shared source of clarity
Nazr decomposes leadership priorities into workstreams and tasks, with a human approving every layer. One shared source of clarity for leadership, product, and engineering.
Why now
The cost of writing code has collapsed. Teams can now build faster than they can decide what to build, why, and in what order. The constraint is no longer engineering throughput. It is product clarity and a coherent path from intent to execution.
Education fixes how well one person uses AI. Nazr fixes how an organisation uses AI together.
How it works
Nazr pushes strategy downward into work, the opposite of bottom-up systems that collect tickets and roll them up. Each layer is decomposed from the one above it.
What the organisation is trying to achieve.
Coherent efforts that ladder directly up to strategic intent.
Specific enough to be picked up and shipped, by a person or a coding agent.
Top-down by design. Intent is decomposed into work, not assembled from tickets after the fact.
Discoveries surface back up. What teams learn lower down rolls upward, so leadership sees reality, not just the original plan.
A human approves each layer. Decomposition with judgement, not automation that runs away from you.
Three views, one source of truth
One underlying graph. Switch the lens and the same work reframes for each role. This is the live product.
What Nazr is not
PRDs are export artifacts the system produces when you need them, not a gate you pass through to start work. Nazr starts from intent and works downward, so the plan and the work are the same object.
Engineering handoff
Engineering tasks flow straight into coding agents with send-to-Claude-Code, so the path from what you decided to what gets built never breaks.
Who it's for
Built for teams feeling the upstream misalignment, where work moves fast at the bottom while the connection to strategy frays. The task-quality payoff is felt by engineering too.
Backed by Techstart Ventures