Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
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
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
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