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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
Panto is an advanced AI-driven code review tool aimed at improving both the quality and security of code by seamlessly integrating into existing development workflows. Its unique AI operating system synchronizes code with relevant business contexts from platforms such as Jira and Confluence, facilitating efficient and context-sensitive code reviews. Supporting more than 30 programming languages, it performs upwards of 30,000 security checks to ensure a thorough examination of codebases. The "Wall of Defense" feature of Panto AI works continuously to identify vulnerabilities and recommend solutions, effectively stopping defective code from being deployed to production environments. Additionally, with its commitment to zero code retention, compliance with CERT-IN standards, and the ability to operate on-premises, Panto emphasizes both data security and regulatory adherence. Developers can take advantage of reviews that offer a high signal-to-noise ratio, thereby minimizing cognitive overload and enabling them to concentrate on essential logic and design considerations. This focus on clarity and efficiency allows teams to enhance their development processes significantly.
API Access
Has API
API Access
Has API
Integrations
Azure DevOps
Bitbucket
Claude Code
Confluence
Cursor
GitHub
GitLab
Google Chrome
Jira
Model Context Protocol (MCP)
Integrations
Azure DevOps
Bitbucket
Claude Code
Confluence
Cursor
GitHub
GitLab
Google Chrome
Jira
Model Context Protocol (MCP)
Pricing Details
$19/user/month
Free Trial
Free Version
Pricing Details
$12 per month
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
Panto
Founded
2024
Country
United States
Website
www.getpanto.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