How this page uses the phrase
'Company brain' is informal shorthand on this page, used to group four products that each describe working with company knowledge. The page quotes each product's own words rather than defining a category, so the companies speak for themselves.
The products start from a problem they each describe: scattered knowledge. Savant says a company's most important knowledge is scattered across docs, Slack threads, emails, tickets, CRM notes, spreadsheets, and the judgment of the people doing the work (Savant). Guru says it transforms scattered knowledge into a structured, governed, continuously improving source of truth (Guru). Savant adds that humans can navigate that mess, but AI cannot without operational context (Savant).
Savant: a single operating layer
Savant describes itself as connecting to the tools your team already uses and turning scattered company knowledge into structured, searchable operating context for people and AI (Savant). It says every company has a documented version and a lived version of how work gets done, and that it brings both together into a single operating layer (Savant).
Savant's AI framing is agent-focused. It says AI agents cannot operate a business from raw data alone, and need the policies, workflows, constraints, examples, and judgment that humans use (Savant). It describes its AI offering as the context layer between company data and reliable automation, and says agents call Savant at decision time to act correctly inside the business (Savant).
Glean: enterprise AI that understands your company
Glean describes itself as enterprise AI that understands your company, and says complete context makes AI work at enterprise scale (Glean). It calls Glean Assistant your enterprise AI coworker and describes its enterprise search as finding answers across your company (Glean).
Glean also sets conditions of its own. It states that AI only works in the enterprise when answers are secure, explainable, and permission-aware, and that it turns company knowledge into action without runaway model spend (Glean).
Guru: a governed knowledge layer
Guru describes itself as the governed knowledge layer for enterprise AI (Guru). It says it structures, governs, and continuously improves company knowledge so every AI tool and every person gets answers they can trust (Guru). It sums itself up as one governed layer that powers every workflow and continuously improves (Guru).
Guru also warns against running a business on confidently wrong AI (Guru). Governance, in its wording, is what separates a trusted answer from a confident one.
Notion AI: a built-in teammate
Notion describes its AI as infinite minds built for teamwork that answer questions, prioritize tasks, and write reports while you sleep (Notion). It says Notion AI is a built-in teammate inside Notion, working directly in pages, docs, tasks, and databases so you can move faster without switching tools (Notion).
Notion says Notion Agent completes complex, multi-step tasks using context from Notion, connected apps, and the web, and that Enterprise Search finds answers across all your apps (Notion). It also says Custom Agents automate recurring work for an entire team from a trigger or schedule, running 24/7 (Notion). Notion features a customer quote that agents become useful when they have full context across the company (Notion).
KnowMan's documented features
KnowMan saves articles and links, reads and tags them, answers questions with citations, and keeps memories such as claims, decisions, and playbooks (personal knowledge base guide). It is built for one person's library today, and team plans are not available yet (personal knowledge base guide).
The Free plan includes five Ask questions a day. Pro costs $12.99 a month or $99 a year, with a 14-day Pro trial and no credit card (personal knowledge base guide).
KnowMan and MCP
KnowMan provides an MCP server in two forms, a local stdio server started with npx -y @knowman/mcp, and a hosted remote server (MCP server guide). The hosted server speaks Streamable HTTP and accepts OAuth sign-in or an API key (MCP server guide).
Documented tools include kb_search, kb_ask, kb_get_item, kb_save, kb_recent, and kb_memories, which is read-only (MCP server guide). For connecting an agent to a knowledge base, see knowledge base for AI agents.
Questions people ask
Is a company brain an official product category?
This page uses the phrase as informal shorthand and does not treat it as an official category. Savant describes structured, searchable operating context (Savant), while Guru describes a governed knowledge layer (Guru).
What does Notion AI say it does?
Notion says Notion AI is a built-in teammate inside Notion, working in pages, docs, tasks, and databases (Notion). It also says Notion Agent completes complex, multi-step tasks using context from Notion, connected apps, and the web (Notion).
What does KnowMan do?
KnowMan saves articles and links, reads and tags them, answers questions with citations, and keeps memories such as claims, decisions, and playbooks (personal knowledge base guide). It is built for one person's library today, and team plans are not available yet.
Can AI agents use KnowMan?
KnowMan provides an MCP server, as a local stdio server and as a hosted remote server, that agents can connect to (MCP server guide). Documented tools include kb_search, kb_ask, and kb_save (MCP server guide). For the wider picture, see persistent memory for AI agents.