The control plane for AI-native engineering
Run engineering on AI, from roadmap to release, across every team.
Why Wakalix
Six challenges come with scaling AI. Wakalix answers each one.
Planning, review and release still move at human pace.
Bills grow; nobody knows which work they paid for.
Secrets, customer data and injected instructions pass through unchecked.
What shipped, and was it worth it? Nobody can say.
Different tools and habits, no shared standard.
Every sprint starts from scratch.
How it works
People decide. Agents do the heavy lifting. Every step is on the record.
Every product keeps a ranked roadmap, and every cycle traces back to it.

Each item gets a definition of done and the right agent. Nothing runs until a person approves.

The ask, the code that matters, your rules and past decisions, packaged for the agent.
Each agent has a defined job and runs in your engineers' own tool. When a decision is yours, it stops and asks.

Work comes back with its evidence, and lands as a pull request a person merges.

The retro feeds what agents got wrong back into them, so each cycle starts from a better team.

Many teams, one system
Teams keep their own tools, agents and rhythm. Leadership sees one roadmap, one set of rules, one record.
Highlighted: agents a team built itself
Visibility for leaders
One answer for the board, built from the record.

Agents your company owns
Defined once, owned by you, released like software, better every cycle.
| A prompt | An agent config file | A Wakalix agent | |
|---|---|---|---|
| Shared across the organisation | – | Per repository | Across every team and repository |
| Versioned and released | – | Git history | Released, pinned, rolled back |
| Knows who it hands work to | – | – | ✓ typed hand-offs |
| Stops and asks when unsure | – | If it remembers to | ✓ a defined outcome |
| Rules held outside the model | – | – | ✓ guardrails |
| Every run on the record | – | – | ✓ audit trail |
| Improves after every cycle | – | By hand | ✓ through the retro |
Build, test, release
Describe the job. The builder drafts the agent and asks what it can't infer.

Every version runs its test cases. If it fails, it isn't published.

Guardrails
Most rules are built into how work moves, so they can't be skipped. Only real judgement calls go to the AI.
Work arrives as a pull request a person merges.
Built inEvery change says which requirement it serves.
Built inA plan runs only after a person approves it.
Built inSchema changes need the architect's sign-off.
A named person signs offKeep changes small and focused.
AI judgement
Where Wakalix fits
Specs perfect one feature. Wakalix runs the system around every feature.
Security & governance
Leaked secrets, injected instructions, unreviewed changes: Wakalix is built to close them.
Code reaches only the AI provider you approved.
Agents use each engineer's own access. No shared keys.
A person accepts every change before it lands.
Output is checked for credentials and personal data.
Single sign-on. Leavers lose access at once.
Who may use which agent, on which repository.
Typed outputs and approvals stop injected instructions shipping.
Every agent action attributable, with evidence for auditors.
Cost under control
AI spend becomes a number you agree to, not a bill you discover.

Pricing
Per team of up to eight, per month. More teams, lower price each. Your AI subscriptions stay yours.
Partners
Deliver client work on Wakalix: your people, your clients, your price.
Platform, agents, support and certification.
You run the projects and own the client.
They work with you; we back you up.
Request access
9am–7pm IST, Monday to Friday. A person, not a bot.