Process context extraction
Atlas extracts process context from company docs so AI tools can answer questions like how internal workflows actually work, instead of guessing from generic internet patterns.
Atlas
Atlas is a company context layer for AI tools that extracts process, data, and brand rules from existing materials and serves them to tools like Claude, Cursor, and ChatGPT. It is aimed at teams that want shared company rules available across multiple agents and workflows.
Overview
Atlas is a company context layer for AI tools. It pulls rules and reference material from sources such as a website, employee handbook, brand guide, and optional Notion content, then makes that context available to tools like Claude, Cursor, ChatGPT, Claude Code, Codex, and custom agents.
The product is organized around three kinds of context: process context for how a company actually works, data context for where information lives and how it is structured, and brand context for keeping generated slides and images on brand. Atlas stores personal rules privately, while company rules are shared and curated by admins.
Features
Data context extraction
It organizes data context around where company data lives, what it means, and how it is structured, so users can ask for metrics without re-explaining the schema or definitions.
Brand context extraction
It captures brand context for slides, decks, and images so outputs can follow company fonts, colors, and visual identity from the first draft.
Document and website ingestion
The setup flow points Atlas at a website, handbook, brand guide, or Notion workspace, then extracts a reviewable set of rules and context.
Tool and API delivery
Atlas can connect to AI tools through one MCP URL for tools like Claude, Cursor, ChatGPT, and Claude Code, plus one REST endpoint for custom builds.
Markdown export and portability
Rules stay in plain markdown and can be exported at any time, which keeps the company from being locked into a single agent or workflow.
Use cases
Answer internal process questions
A team can connect company docs and handbooks so assistants answer internal process questions with the company’s actual workflow instead of generic advice.
Work with company data context
Analysts can ask AI tools for metrics and reporting help while Atlas provides context about the company schema, metric definitions, and data locations.
Keep generated assets on brand
Design and marketing teams can generate slides or images that follow established fonts, colors, and visual identity on the first pass.
Standardize rules across AI tools
Teams that rely on Claude, Cursor, ChatGPT, or Claude Code can use the same shared rules across tools instead of rewriting prompts in each app.
Serve context to custom agents
Builders can point a custom agent or internal workflow at Atlas through REST and keep the rules in markdown for export and reuse.
Pros and Cons
Pros
- Covers three useful context types: process, data, and brand.
- Connects to multiple common AI tools through MCP and REST.
- Keeps rules portable in plain markdown, reducing lock-in.
- Supports a setup flow that can extract context from existing company materials.
- Separates personal rules from shared company rules for team use.
Cons
- The source shows only partial evidence for integrations beyond the named AI tools and delivery methods.
- Pricing and access details are still early-access oriented, so teams may need to go through a setup and access flow rather than self-serve purchase only.
- The available source material does not fully document advanced admin controls, limitations, or supported edge cases.
FAQ
How do you set up Atlas?
Atlas is set up by connecting it to your website, employee handbook, brand guide, or Notion workspace. The product says it can extract context in about 60 seconds, then let you review the results on a single page before using them in AI tools.
What does Atlas output?
Atlas outputs structured process, data, and brand context, and it keeps the rules in plain markdown so they can be exported anytime. The pricing page also says rules can be served to AI tools through MCP and REST.
Which AI tools does Atlas connect to?
The site says Atlas works with Claude, Cursor, ChatGPT, Claude Code, Codex, and any agent you build through an MCP URL or REST endpoint.
Who is Atlas for?
Atlas is positioned for companies where employees use AI tools every day and want those tools to follow shared company rules. The site describes it as built for the 10-to-50 stage and for teams that do not want to re-explain how the company works each time.
Is there a free tier or paid plan?
The source shows an early-access paid plan at $99 per company per month and a free website-based start. The company says there is no payment upfront for early access and that setup help is included.
Quick Facts
- Category
- AI productivity platform
- Product type
- Company context layer for AI tools
- Primary users
- Teams using Claude, Cursor, ChatGPT, or custom agents
- Supported delivery
- MCP URL and REST endpoint
- Source domain
- atlas.nanonets.ai
- Pricing shape
- Free website start; early-access plan at $99 per company per month
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