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
LLM Capsule allows businesses to effectively utilize AI and LLMs—such as ChatGPT, Claude, and Gemini—on sensitive corporate data while safeguarding the original information from exposure. In contrast to conventional masking or redaction methods that compromise context and diminish the utility of AI, LLM Capsule alters and encapsulates data to maintain its structure, relationships, and business significance for precise AI processing.
This solution not only safeguards personally identifiable information (PII) but also protects vital business contexts—including contracts, project codes, clinical terminology, source code, and more—through customizable policies. The Capsule technology guarantees that only secure, context-rich data is transmitted to both internal and external AI models, with the original data being automatically reinstated upon retrieval. Organizations can meet the most rigorous compliance requirements, such as N2SF and ISO/IEC 27001, while also ensuring complete auditability and flexible deployment options, whether in the cloud or on-premises. By using LLM Capsule, teams are empowered to drive innovation through AI while preserving the critical context necessary for effective decision-making.
API Access
Has API
No
API Access
Has API
No
Screenshots View All
No images available
Integrations
Claude Code
Yes
Cursor
Yes
Google Chrome
Yes
Model Context Protocol (MCP)
Yes
Slack
Yes
Integrations
Claude Code
No
Cursor
No
Google Chrome
No
Model Context Protocol (MCP)
No
Slack
No
Pricing Details
$19/user/month
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
Yes
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
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Atono
Founded
2024
Country
United States
Website
atono.io
Vendor Details
Company Name
CUBIG LTD
Founded
2021
Country
United Kingdom
Website
cubig.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