Your AI tools are fast. But they don't know your product.
Atono gives your AI tools product knowledge — so your team plans, builds, and ships without the rework. Free for teams up to 25; every Techstars company gets 75% off Paid for two years.
Two products. One Techstars.
- Atono Free — for teams of 1-25 users. Genuinely free, not a trial, no expiration. A full product, not a limited tier.
- Atono Paid — for any team size, even a single user. Paid unlocks the Al functionality and other capabilities Free doesn't include.
How your perk works
- Start on Atono Free. No card, no code — your whole team up to 25 users.
- Upgrade to Paid in-product when you're ready - for the Al features, or as you grow.
- Enter your code at checkout — use
Founders75for 75% off Atono Paid, two years.
Larger team already past 25 users? Go straight to Paid and apply Founders75 at checkout — the perk applies at any size.
Built by founders who've been in your shoes
“Speed is the whole game at a startup — but it only compounds when your team, and now your AI, are building the same product instead of five versions of it. We built Atono so you can build fast, together.”
Wrong gets caught. Almost-right gets shipped.
Your AI writes specs and code fast. It also invents features you don't have, uses the wrong word for the thing, and makes assumptions about your product that nobody told it. The obvious mistakes get caught in review. The almost-right ones — the spec that's 90% correct, the story that contradicts a decision from last month — slip through. That's true at five engineers and at five hundred: the more your people and your AI tools each work from their own picture of the product, the more almost-right ships.
Give your AI the product context it's missing
Atono turns your documentation into a structured Glossary — your product's concepts, their definitions, synonyms, and how they relate. Something every teammate, tool, and AI agent can read. Built from your docs, curated by your team, and kept current as the product changes.
The difference isn't the prompt. It's the context the AI can reach.
It's a chain reaction. Product Knowledge is upstream.
Most teams try to fix AI output downstream – with better reviews, more tests, longer QA. The leverage is upstream. When AI understands your product, the output is right the first time.
Product context
The Glossary grounds your AI in your product.
Accurate specs
An error caught at the spec stage costs a fraction of the same error caught in code review or production.
Better code, first time
Better code, first time — engineers and AI build what you meant.
Velocity
Quality
DevEx
Cost
Cost-of-defect research is consistent on the shape of the curve, though specific multipliers vary by source and study.
Set it up in minutes
It takes minutes to set up — and replaces "almost right" with actually right.
Connect your docs
Paste a link to your docs, help center, or knowledge base. Atono reads them and identifies the concepts that define your product.
Structure your product context
Atono builds a structured glossary — definitions, synonyms, and how concepts relate — that your team and AI can use.
Write with AI that gets it
Use the glossary to write stories, specs, and prompts, so AI generates work that reflects how your product works.
Start where you are
Replace your stack, or keep it and add product context on top. Atono works for a team of three and for a division of three thousand.
Replace and consolidate
One workspace for planning, building, releasing, and measuring — Product Knowledge built in. Atono replaces Jira plus your feature-flag tool plus your analytics tool. Most teams pay $33–56 per user across those three; Atono Paid starts at $19 — and Techstars companies take 75% off that for two years.
Best for: teams ready to consolidate the stack.
Outcome: fewer tools, less rework — one connected flow.
Keep your tools, add product context
The Glossary, MCP, and AI Context sit alongside Jira, Linear, ADO, or Monday.dev. Your team keeps its workflow; your AI tools — and your PMs — get the context they've been missing. At scale, it replaces the AI scaffolding every engineer quietly maintains — prompts, .md files, harnesses — with one governed, permissioned layer.
Best for: teams not changing tools, and the default for larger orgs.
Outcome: consistent AI output across every tool and session.
We tested this on ourselves first
“We built the Product Glossary for ourselves at Atono and ran it on our own work. 60% of the AI-generated stories needed changes, and it even caught features we'd labeled as new that were actually enhancements. That kind of mistake easily costs a sprint.”
We also asked 350 engineering teams how product context holds up:
discover missing work mid-cycle
keep product context in people's heads
have no shared context for their AI tools
use AI for requirements, not just code
“It’s refreshing to see a product built with true cross-functional collaboration in mind. The ability to toggle features directly from stories and generate bug reports with full diagnostic context is brilliant – huge time-saver for devs and QA alike.”
What changes
Your specs match your product. Your AI tools stop guessing and start drafting work you can actually use. Your team — and every AI agent — builds from the same definition of the product. You ship faster every week, not slower — and what ships is what you meant.
Why Techstars partnered with Atono
Atono is a Techstars Growth Network Partner. The partnership exists because every portfolio company hits the same wall — AI tools that move fast but don't understand the product being built.
“Our founders build with AI from day one. We brought Atono into the Growth Network because it gives their AI tools real product context — so portfolio teams can move fast without shipping the wrong thing.”
See what Atono already knows about your product
Not ready to start?
One email a month from capy@atono.com. Unsubscribe anytime.
Questions, answered
Is Atono really free?
Yes. Atono Free is a full product for teams of 1–25 users — not a trial, and it doesn't expire.
What's the difference between Free and Paid?
How do I redeem the Techstars perk?
What happens after the two years?
Do we have to replace Jira or Linear?
How is the Glossary built?
Does this work with the AI tools we already use?