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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
DevHawk is an innovative project management assistant enhanced by artificial intelligence, aimed at supporting remote software teams in proactively managing delivery challenges by integrating seamlessly with popular tools such as Jira, Linear, and Asana. Developed by the creators of Fraction, this platform surpasses conventional project management software by identifying and resolving issues like inactive tickets, decreasing productivity, and unassigned developer tasks before they lead to overdue projects. Its notable features comprise smart notifications for stalled tasks that automatically communicate with developers through platforms like Slack or Teams, detection of zero-task scenarios, analysis of velocity trends, and story points calculated using AI algorithms. Additionally, DevHawk's foresight enables teams to maintain optimal workflow and enhance overall project efficiency.
API Access
Has API
API Access
Has API
Screenshots View All
No images available
Integrations
Claude Code
Cursor
Google Chrome
Model Context Protocol (MCP)
Slack
Integrations
Claude Code
Cursor
Google Chrome
Model Context Protocol (MCP)
Slack
Pricing Details
$19/user/month
Free Trial
Free Version
Pricing Details
$20/month/user
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Atono
Founded
2024
Country
United States
Website
atono.io
Vendor Details
Company Name
DevHawk.ai
Founded
2025
Country
United States
Website
devhawk.ai
Product Features
Agile Project Management Tools
Backlog Management
Feedback Management
Gantt/Timeline View
Kanban Board
Prioritization
Request Management
Resource Management
Retrospectives Management
Status Tracking
Supports Scrum
Team Management
Template Management
Workflow Management
Product Features
Agile Project Management Tools
Backlog Management
Feedback Management
Gantt/Timeline View
Kanban Board
Prioritization
Request Management
Resource Management
Retrospectives Management
Status Tracking
Supports Scrum
Team Management
Template Management
Workflow Management
