Konductro is the end-to-end software delivery platform for engineering teams who care about doing it right. AI assisted. Human led. Built by practitioners.
The Reality
Requirements in Confluence. Architecture in Miro. Tickets in Jira. Code in GitHub. Designs in Figma. Pipelines in whatever someone set up two years ago. Each tool does its job — and stops at its edge.
The plan never reaches the people building. The build never updates the plan. The AI in your developer’s editor can’t see what was decided yesterday, so it solves the problem from scratch. Context that should flow from first requirement to shipped pull request — gets re-typed at every handoff.
We’ve automated parts of delivery. We haven’t connected them.
It’s not a people problem.
It’s a platform problem.
The Orchestration
Konductro is the layer that connects what was decided to what gets shipped — and back again. Not another tool in the stack. The thread through it.
Each planning stage informs the next. Konductro knows what was decided in requirements when you're writing the architecture, so you build on previous decisions instead of re-arguing them. Documents are versioned artefacts, not lost in Slack threads.
Tasks reach engineers carrying everything that produced them: specs, files to touch, prior decisions, the relevant slice of architecture. The same context lands in the AI tools they already use to write code, so nothing has to be re-explained at the keyboard.
Pull requests merge. QA hand-offs auto-route. Sprints close. The plan stays current. Nothing gets re-typed at a handoff.
From first requirement to shipped — one thread, one platform.
Conducted, not coordinated.
If you own delivery
Predictability. Visibility. Confidence — without the standup-as-status-meeting.
The work, the cost, the risk — all in the same view. Konductro's Command Centre rolls up every engagement, every sprint, every team into one screen. Drill into anything that catches your eye.
Sprint health, on-time signals, AI spend, QA bottlenecks — surfaced as leading indicators, not last week’s report. Konductro tells you when something is slipping before someone has to flag it in standup.
Every decision, every artefact, every ticket carries its paper trail. When a stakeholder asks what changed, what cost what, or why a call was made — the answer’s in the system, not in someone’s memory.
Stop asking. Start seeing.
If you ship
Tickets arrive with everything. The AI you already use sees all of it. The overhead gets out of your way.
Specs, acceptance criteria, files to touch, prior decisions, the architecture slice — all attached when work hits your queue. No more digging through Confluence or pinging the architect for what was decided last week.
The context that lives in Konductro flows into Claude Code, Amazon Q, and whatever AI tool you reach for next. Your editor knows what was decided, what was tried, and what to avoid — before you hit save.
Standups stop being status reports because everyone already sees what’s shipping. Sprint planning has the data it needs without pulling you into another meeting. The signal moves to the system, so the work moves to you.
Stop briefing. Start shipping.
The AI inside
The AI that’s been listening from the first requirement.
It knows your codebase. It knows the decisions. It knows the score — note for note.
So when your team plans — it remembers.
When your developers code — it carries the context.
When something drifts — it sees it first.
It conducts. And it performs.
There’s a Conductor in Konductro.
And a Maestro behind the name.
Where we are
Konductro has been running real delivery work since the start of 2026 — planning conversations, decomposed stories, sprint orchestration, code shipping. Not a deck. Not a waitlist. A tool that gets used every day.
We’re opening early access to a small first cohort — teams that feel the problem we described and want a hand in shaping the answer.
Every request is read by a human on the team. Every reply goes back the same way.