Free
Free
- Works with Claude, Cursor & Copilot
- Stories, Kanban, Scrum & Bugs
- Feature flags (5,000 MAU)
- Feature engagement (30 days)
- Up to 150 backlog items
- Product knowledge (30-day trial)
- AI context (30-day trial)
- Premier AI features (30-day trial)
Overview
Atono addresses the challenge of 'almost right' AI outputs by providing a unified product context for software teams. It integrates with existing AI tools, supplying them with a consistent understanding of the product through three layers: a Glossary, Living Stories, and AI Context.
How Atono Builds Product Context
- Glossary: Establishes a shared vocabulary from internal documentation, ensuring consistent terminology across the team and AI agents. This prevents AI from making assumptions.
- Living Stories: Maintain a continuous record of decisions, feedback, implementation notes, usage analytics, and feature flags. This prevents context loss throughout the product lifecycle, keeping stories connected to reality.
- AI Context: Captures design decisions, technical investigations, and implementation changes directly on stories via Atono's MCP server. This ensures rationale persists automatically across sessions and agents.
This connected workflow allows product teams to plan, build, deploy, and measure within a single workspace, fostering alignment between human and AI collaborators from ideation to production. Atono can either replace an existing stack (like Jira, feature flag tools, and analytics) or augment it as an 'Intelligence Layer' alongside tools such as Jira or Linear, adapting to various team setups.
Key features
- Unified product context for AI tools
- Glossary for consistent product terminology
- Living Stories with attached decisions and analytics
- AI Context for persistent design and technical rationale
- Connected workflow from plan to production
- Integration with existing AI tools (e.g., Claude, Cursor)
- Cycle time and delivery trend reports
- Feature flag control directly from stories
Who uses it
Engineering Leaders, Engineering Managers, Engineers, Product Leaders, and Product Managers.
Pros
- Provides consistent product context for human and AI collaborators.
- Reduces 'almost right' AI outputs by grounding them in product specifics.
- Connects planning, building, deploying, and measuring in one workflow.
- Offers flexibility to integrate with or replace existing tools.
- Improves cross-functional alignment and reduces correction loops.
Cons
- Pricing details are not transparent and require direct contact.
- Requires integration with existing AI tools or a full platform migration.
- Learning curve associated with adopting a new comprehensive platform.
- Benefits might be less pronounced for teams without significant AI tool usage.
Summary
Atono streamlines product engineering by centralizing context for both human teams and AI tools, aiming to reduce errors and improve development efficiency. Its utility lies in ensuring AI outputs are precisely aligned with product specifications and evolving realities.
Pricing plans
Starter
$24 per user/month
- Product knowledge
- AI context
- Premier AI features
- Unlimited users, feature flags and backlog items
- Unlimited storage
- Feature engagement (90 days)
- SSO/SAML
- Email support
Growth
$49 per user/month
- Feature engagement (1 year)
- 8x5 support
- Money-back guarantee
Pricing details are provided for reference and may differ from the vendor's current plans.
Website Analytics
Traffic and engagement estimates for Atono. Updated Nov 11, 2026.
Monthly visits
8.9K
Estimated monthly website traffic
Growth
-1.4K
Month-over-month change
Growth rate
-13.9%
Relative monthly change
Bounce rate
60.8%
Estimated bounce rate
Visit history
Engagement
- Avg visit duration
- 8s
- Pages per visit
- 1.1
Traffic sources
- Direct39.4%
- Search Organic31.7%
- Referrals10.2%
- Social Organic5.2%
- Display Ads3.7%
- Mail3.5%
- Affiliate2.6%
- Search Paid1.6%
- Gen Ai1.4%
- Social Paid0.8%
Top countries
- United States of America51.9%
- India26.5%
- Canada21.6%
Figures are third-party estimates and may differ from actual site analytics.
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