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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Atono is a product knowledge and workflow platform designed to help AI tools, product teams, and engineering teams work from the same product context. The platform addresses the problem of AI-generated specs, stories, and code being close but inaccurate because the AI lacks product-specific terminology, decisions, and implementation history. Atono builds product knowledge through three layers: a Glossary, Living Stories, and AI Context. The Glossary captures the product’s vocabulary, concepts, personas, and relationships from existing documentation so AI tools use the right terminology. Living Stories keep decisions, feedback, implementation notes, usage analytics, and feature flags attached to each story as the product evolves. AI Context captures design decisions, technical investigations, and implementation changes through Atono’s MCP server so tools like Cursor, Claude, and Copilot can continue from prior sessions. Teams can use Atono to plan, build, deploy, and measure work from the same story while keeping requirements, code context, release controls, and engagement data connected. The platform can operate as an intelligence layer alongside Jira, Linear, or an existing stack, or as a full platform that replaces project management, feature flag, and analytics tools. By combining product knowledge, AI context, stories, feature flags, analytics, MCP integrations, and cross-functional workflows, Atono helps teams make AI output more accurate and product work more connected.

Description

StackRails serves as a platform designed for software architecture and AI coding governance specifically tailored for engineering teams. It creates a dynamic knowledge graph that encompasses repositories, services, APIs, events, and cloud infrastructure, enabling coding agents to access architecture and policy insights via the Model Context Protocol (MCP). This platform is compatible with tools like Claude Code, GitHub Copilot, Cursor, and OpenAI Codex, ensuring that generated code adheres to rules set by the organization on developers’ local machines and during pull-request processes. Engineering teams can leverage its capabilities to trace cross-repository dependencies, evaluate the impact of changes, keep architecture documentation up to date, oversee engineering policies, and conduct AI-driven architectural assessments. StackRails offers flexibility in deployment; it can be utilized as a hosted service in the EU, within customer-managed cloud settings on platforms such as AWS, Microsoft Azure, or Google Cloud, and it also supports on-premises installations for added security and control. This versatility ensures that organizations can adopt StackRails in a manner that best suits their operational needs and compliance requirements.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Claude Code Yes 
Cursor Yes 
Model Context Protocol (MCP) Yes 
Azure DevOps No 
Bitbucket No 
GitHub No 
GitHub Copilot No 
GitLab No 
Google Chrome Yes 
OpenAI Codex No 
Slack Yes 

Integrations

Claude Code Yes 
Cursor Yes 
Model Context Protocol (MCP) Yes 
Azure DevOps Yes 
Bitbucket Yes 
GitHub Yes 
GitHub Copilot Yes 
GitLab Yes 
Google Chrome No 
OpenAI Codex Yes 
Slack No 

Pricing Details

$19/user/month
Free Trial No 
Free Version Yes 

Pricing Details

$15,000/year
The annual minimum contract is $15,000. Pricing scales with team size, with no usage meter or overage charges. A free 14-day Architectural Risk Assessment is available; it is an assessment, not a free software version or product trial. Premium support and self-hosting are optional.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Atono

Founded

2024

Country

United States

Website

atono.io

Vendor Details

Company Name

StackRails

Founded

2026

Country

Ireland

Website

stackrails.ai

Product Features

Agile Project Management Tools

Backlog Management No 
Feedback Management No 
Gantt/Timeline View No 
Kanban Board No 
Prioritization No 
Request Management No 
Resource Management No 
Retrospectives Management No 
Status Tracking No 
Supports Scrum No 
Team Management No 
Template Management No 
Workflow Management No 

Product Features

Alternatives

Alternatives

No Alternatives
Releasion Reviews

Releasion

Lienion