Umaku embeds intelligence directly into how AI products move from notebooks to production — planning, reviewing, and governing with real context, not checklists.


Umaku analyzes business contracts and product requirements alongside your code to detect logical violations. The power isn’t automated code review — it’s context-aware review that ensures implementations match real product intent.
Most production failures happen when code technically works — but breaks the contract.Without contextual review, these logic gaps pass code review and become irreversible downstream issues. Umaku catches them at the moment intent breaks.


Umaku automatically generates comprehensive, AI-powered sprint reports that give teams and leadership clear insights into progress, quality, and risks.These reports are built on multiple key matrices — helping you understand not just what was done, but how well it was done.
Without clear visibility into sprint outcomes, teams rely on assumptions and incomplete data.Without contextual review, these logic gaps pass code review and become irreversible downstream issues.


Every project in Umaku comes with a dedicated AI assistant that fully understands its context, codebase, and history.Ask questions, explore the project, or find information — the assistant gives answers grounded in the project’s actual work, not generic responses.
AI projects involve complex context that’s easily lost or fragmented. Umaku’s AI Project Assistant becomes your project brain, helping teams preserve knowledge, onboard new members faster, and make informed decisions. by real data — not guesswork.


Umaku ensures that every ticket marked as “Done” is truly complete and meets its requirements.By analyzing submitted code, user stories, and acceptance criteria, the AI validates work automatically — so nothing slips through the cracks.
Tickets often appear “complete” but fail to meet business requirements or coding standards, leading to bugs and rework. Umaku stops incomplete or misaligned work before it reaches production, saving time and ensuring quality across your AI projects.


When creating a project in Umaku, the AI assistant helps you assemble the optimal team.By analyzing past contributions, proven experience, and project requirements, Umaku recommends the right individuals — and explains why each was selected.
Choosing the right team is critical for AI project success, but manual assignment is time-consuming and error-prone. Umaku removes guesswork, helping you assemble teams faster, reduce risk, and maximize project outcomes.


Umaku brings all aspects of AI product development into a single platform.From sprint planning and tickets to code, AI reviews, and team communication — everything happens in one place, eliminating context loss and dashboard sprawl.
Modern AI teams waste hours jumping between tools, losing context, and duplicating work.Umaku consolidates the entire development lifecycle, making progress visible, actionable, and aligned — so teams can focus on building AI products instead of managing tools.
Designed to help teams turn AI experiments into production-ready systems — with structure, governance, and traceability.
Every insight is grounded in project intent, code, tickets, and business requirements — not generic rules.
Quality gates, standards, and validations are built directly into your workflow — with full managerial control.
Sprint performance, risks, and quality trends are backed by real data — not assumptions.
Planning, code, AI reviews, reports, and collaboration — all in one connected platform.