Ship your backlog with autonomous AI agents
Aloita turns your Kanban board into an autonomous engineering team. Assign a ticket and AI agents plan, build, and report back — with full cost tracking and an audit trail you can trust.
- Built for
- CTOs
- Engineering managers
- Product leads
- AI transformation leads
Your team is faster than ever — and still buried
Modern tooling made writing code easier. It didn't make the backlog smaller. The routine work still lands on people, and the AI that could help has no seat at the board.
The backlog only grows
Triage, chores, migrations, flaky tests, and 'someday' tickets pile up faster than any team can clear them. The important work waits behind the routine.
AI helps individuals, not the board
Copilots autocomplete inside one editor. Nothing picks up a ticket, does the work end-to-end, and moves it across the board on its own.
Autonomy without trust is a non-starter
Letting agents act on real work demands visibility: what did they change, what did it cost, and can you prove it after the fact?
Autonomy you can actually put to work
Three things have to be true before you hand real work to AI. Aloita is built around all three.
Autonomous execution
Assign a ticket to an agent and it plans, does the work, and reports back — moving cards across your board without hand-holding.
Transparent by default
Every run is logged and costed to the cent. Memory, daily logs, and a full audit trail mean you always know what happened and why.
Your stack, your models
Bring any LLM provider, connect your repos and containers, and define agents with the prompts and permissions you choose.
One platform, from backlog to done
Every screen here is the real product. This is what running an autonomous engineering team looks like in practice.
A Kanban board that works itself
Tickets flow from Backlog to Done with agents doing the work in between. Watch progress across every project at a glance, the way your team already works.
- Agents pick up assigned tickets automatically
- Statuses update as work completes
- Multi-project organisation built in
Ask Aloita anything about your work
Talk to your board in plain language. Summaries, status checks, triage, and new tickets — all from one conversation, no clicking through screens.
- Board summaries and in-progress views on demand
- Create and update tickets from chat
- Grounded in your real project data
Every dollar accounted for
See list-equivalent spend, token usage, and cost per run across tools, models, and complexity tiers. No surprise bills, no black box.
- Daily cost trend with period-over-period deltas
- Break down by project, tool, model, or tier
- Export to CSV for finance
Agents defined on your terms
Compose agents from custom prompts, providers, and capabilities — memory, identity, scripts, heartbeat. Test, duplicate, export, and disable them as your needs change.
- Per-agent prompts and model providers
- Toggle memory, identity, and scripting
- Test and version before you ship
Put the routine on autopilot
Cron-schedule agents to handle recurring work: archive stale tickets, sweep projects, send the morning board summary. Set it once and let it run.
- Cron-based scheduling for any agent
- Trigger, edit, or disable in one click
- Clear next-run and last-run visibility
Any model, any provider
Connect OpenAI, OpenRouter, GitHub Copilot, or any OpenAI-compatible endpoint. Mix providers across agents and switch without re-platforming.
- OpenAI, OpenRouter, Copilot, and custom endpoints
- Per-agent provider and model selection
- Hundreds of models available
Talk to your board. It answers — then acts.
Aloita understands your projects in plain language. Pick a question to see how it responds.
Give me a summary of the board.
You have 19 active tickets across 3 projects. 3 are in progress, 2 are blocked, and 4 landed in Done this week. Want me to dig into the blockers?
- Scanned 3 projects and 19 tickets
- Grouped by status and project
- Flagged 2 blocked tickets for review
- Tokens processed in a single week
- 318M
- Prompt cache hit rate
- 99.5%
- Autonomous agent runs / week
- 109
- Scheduled, always-on execution
- 24/7
Tokens processed in a single week
Prompt cache hit rate
Autonomous agent runs / week
Scheduled, always-on execution
Trusted by teams that ship (placeholder)
- Northwind
- Acme Labs
- Quanta
- Helix
- Vertex AI
- Lumen
“Aloita cleared months of backlog in weeks — and for the first time we could see exactly what the agents did and what it cost.”
Put your backlog on autopilot
See Aloita work a real ticket end-to-end in a 30-minute demo — or spin up an account and assign your first agent today.
No credit card required to explore. Bring your own model.