Context-aware requests
We match customer input against your live architecture, conventions, and dependency graph.
Customer feedback,
turned into shippable tickets.
ATHEENA reads every customer request against a live picture of your codebase: architecture, conventions, dependencies, open tickets, and recent merges. It drafts the ticket, asks the right follow-ups, and hands it to engineering. Every step is auditable.
The core differentiator
A Context Pack. Not a chatbot.
ATHEENA continuously builds a model of how your software actually works. Every customer message is checked against it before anything becomes a ticket. The pack updates itself every time you merge code.
Duplicate detection
Every new request is checked against existing tickets, planned features, and known bugs before it reaches engineering.
Clarification follow-ups
If something is unclear, ATHEENA asks a few short questions before the task reaches engineering.
Implementation-ready tickets
Every ticket arrives with scope, owners, related work, and acceptance criteria. Drafted, classified, and routed.
Signal: setup and
ticket creation in one place.
ATHEENA ships as a single surface. Signal is where teams onboard, connect their repos, and configure projects. It's also where customers and internal users create work through a short conversation.
Signal
Configure your organization, connect the systems that already hold your work, and turn feedback into structured engineering work. Backed by the Context Pack, every request gets clarified, drafted, and routed.
01 Phase — Infrastructure
- 01Create organization
- 02Connect GitHub & Linear
- 03Add projects (one per repo)
- 04Invite team members
02 Phase — Live Stream
- 01User picks a project and describes the request
- 02Agent runs context match in the background
- 03Clarification questions, only when needed
- 04Structured ticket created & routed
Live status
v2.4.0_STABLE| Reference | Identifier | Status |
|---|---|---|
| BILL-742 | EU VAT column missing | Shipped |
| AUTH-118 | SSO redirect loop on Safari | In progress |
| DASH-204 | Add weekly export digest | Created |
| — | Filter presets on reports | Pending |
Nous, Soma, Atlas.
Nous
the mind · gr.Streams the conversation. Routes work to autonomous agents.
Soma
the body · gr.The active execution layer. Reads your repo, triages state, and clarifies intent.
Atlas
the bearer · gr.Universal compute fabric. Spins up a tenant in a single Terraform apply.
The ticket workflow
Receive. Understand. Clarify. Route.
Four stages turn messy customer feedback into engineering-ready work. Every step is visible, and the Context Pack refreshes itself with every merged PR.
01
Receive Customer input
Signal collects requests through a short conversation that already knows your project.
→ intent.captured
02
Understand Context Pack lookup
We check your repo architecture, conventions, dependency graph, existing tickets, and known bugs in one pass.
→ context.matched
03
Clarify Intelligent questions
If anything is unclear, ATHEENA asks the customer before a ticket is ever created.
→ scope.resolved
04
Route Structured tickets
Ready-to-work tickets are created, classified, and routed to your tracker.
→ ticket.shipped → Linear
Optional add-on Need the ticket built, not just routed? Teams can switch on an implementation phase on top. You bring your own LLM API key, and ATHEENA hands the ticket and Context Pack to the implementation agent.
Early access
Join the waitlist.
We're onboarding teams in small cohorts to make sure every Context Pack is set up right. Tell us where you work, and we'll be in touch when a slot opens.