Atono links stories, feature flags, AI context, and usage data for software teams. Free for up to 25 users; paid plans from $19 per user/month.
Researched and fact-checked by Bartu Cavusoglu · Updated October 26, 2026
Atono is a product engineering platform for software teams. It keeps user stories, the decisions behind them, feature flags, and usage data connected in one workspace, so context does not disappear after sprint planning. The company frames the problem as AI tools producing output that is almost right because they lack product context.
Atono Inc. was started by Troy McAlpin (CEO), Tobias (CTO), and Doug (CPO), who say they have built software together for over a decade. The About page states that more than 300 teams have signed up, and the product sits between a project tracker and an AI context layer.
Atono builds product context in three layers. The Glossary holds your product's vocabulary, created from your own docs. Living Stories keep decisions, feedback, implementation notes, usage analytics, and feature flags attached to each story. AI Context records design decisions, technical investigations, and implementation changes through Atono's MCP server, so agents and people draw from the same record.
The workflow runs through four stages on a single story: plan, build, deploy, and measure. Teams can adopt it two ways. The Intelligence Layer runs alongside Jira, Linear, or an existing stack, starting with the Glossary. The Full Platform replaces the tracker, feature flag tool, and analytics tool.
On the AI side, Atono offers a product Glossary, design decisions, technical investigation and technical change records, a Story assistant listed as beta, automatic linking, and Ask Capy for search across past decisions and related work. The MCP server lets Claude, Cursor, or other AI tools read and write context without leaving the workflow.
On the delivery side, it covers stories, bugs, epics, subtasks, Kanban and Scrum, custom workflows, timelines, and bug triage with probability and impact scoring. Feature flags support Dev, Test, Staging, and Prod environments, with targeting conditions. Cycle time reports, delivery forecasting, and bottleneck detection support team analytics.
Atono is a product engineering platform for software teams. It keeps user stories, feature flags, AI context, and usage data connected on the same story so teams and AI tools share product context.
Atono has a Free plan at $0 for up to 25 users, a Starter plan at $19 per user/month, and a Growth plan at $39 per user/month. The pricing page includes a yearly/monthly toggle, and the source does not specify which period the listed prices reflect.
Yes. The Free plan is described as free forever for up to 25 users. It includes stories, Kanban, Scrum, bugs, feature flags up to 5,000 MAU, and 30 days of feature engagement, with product knowledge and AI context available as 30-day trials.
Atono works with Claude, Cursor, and Copilot through its MCP server. It also lists GitHub, Slack, a Chrome extension, a feature flag SDK, API access, and import from Linear, Jira, and similar tools.
Atono offers a Full Platform option that it says replaces Jira, a feature flag tool, and an analytics tool. It also offers an Intelligence Layer that works alongside Jira or Linear if a team wants to keep its current workflow.
Yes. Atono states that if it does not meet your expectations within the first six months of service, it will refund payments made up to 90 days of service. The Growth plan lists the guarantee among its features.
MAU is Monthly Active Users, counting unique users who encounter at least one feature flag evaluation in a calendar month. Atono counts users rather than requests. The Free plan allows 5,000 MAU, and paid plans are listed as unlimited.
Atono suits software teams that use AI coding tools and want specs, decisions, feature flags, and usage data in one place. The site targets engineering leaders, engineering managers, engineers, product leaders, and product managers.