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What is Lumen?

Your team may depend significantly on email, but your workflows can do without it. Lumen is tailored for process leaders who still find themselves managing tasks via email. Each request is allocated to a designated owner, complete with a Service Level Agreement (SLA) and real-time monitoring of cycle times, preventing work from becoming stalled in inboxes. This solution is specifically designed for operations teams within organizations that have between 40 and 200 employees. When information, SLAs, and responsibilities are dispersed across multiple emails, it can cause delays, unnecessary duplication of efforts, and possible compliance risks. Lumen provides process owners with a centralized, multilingual platform to effectively oversee their workflows: they can effortlessly monitor who is accountable for each task, verify if deadlines are being adhered to, and gain insights into the actual time taken for each process. We are currently offering early access and will configure your initial process free of charge. Our pricing structure includes a Starter plan at $29 per user per month, a Professional plan at $79 per user per month, and tailored solutions for Enterprise-level requirements, ensuring that you can find the optimal package for your organization. By streamlining your workflows with Lumen, you can enhance efficiency and productivity, allowing your team to focus on what truly matters.

What is Atono?

Atono is a product knowledge platform built for AI-native teams that want their AI tools to understand the product instead of guessing from incomplete context. The platform helps teams avoid the constant correction loop that happens when AI-generated specs, stories, and code are fast but not quite right. Atono gives both people and AI tools access to shared product knowledge through a Glossary, Living Stories, and AI Context. The Glossary captures a product’s vocabulary, terminology, personas, and relationships from team documentation so AI-generated work reflects how the product actually works. Living Stories keep decisions, feedback, implementation notes, usage analytics, and feature flags attached to the story instead of losing context in Slack, meetings, or disconnected tools. AI Context captures design decisions, technical investigations, and implementation changes directly on stories through Atono’s MCP server. This allows tools such as Cursor, Claude, Copilot, and other AI assistants to read the context before drafting specs or writing code. Atono supports a connected workflow from idea and roadmap through stories, bugs, flags, engagement, and search. Product teams can use it to create better first drafts, preserve scoping rationale, manage epics, find past decisions, and keep AI consistent across features. Engineering teams can use it to keep coding agents aligned, control releases and rollbacks from stories, review diagnostic context, and understand delivery trends through cycle time reports and visual timelines. By combining product glossary, living stories, AI context, MCP integrations, feature flags, engagement data, roadmap workflows, and cross-functional collaboration, Atono helps teams build software with the right context from plan to production.

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Integrations Supported

Integrations Supported

Claude Code
Cursor
Google Chrome
Model Context Protocol (MCP)
Slack

API Availability

API Availability

Pricing Information

$29/user/month

Pricing Information

$19/user/month
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Lumen

Company Location

Europe

Company Website

lumen.run

Company Facts

Organization Name

Atono

Date Founded

2024

Company Location

United States

Company Website

atono.io

Categories and Features

Categories and Features

AI Development

Not specified

AI Tools

Not specified

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