Enhanciar vs Glean
For teams deciding between an enterprise search suite and a company brain sized for a small engineering team. Written by Enhanciar; we say where Glean is the better fit.
Glean is enterprise search and an AI assistant for large organisations: hundreds of connectors, SSO, admin controls, and pricing agreed with a sales team. Enhanciar is a company brain for engineering teams of roughly five to fifty people: it ingests code, Slack, docs and tickets, cites every answer to the exact line or message, and costs what a small team can expense on a card.
When Glean is the right choice
- You have hundreds or thousands of employees and need company-wide search across every SaaS tool with central admin policies.
- Procurement, security review and a sales-led contract are normal for you.
- You want a managed model with no keys of your own to think about.
When Enhanciar is the right choice
- Your team is small and mostly engineers, and the questions are “why is this code like this?”, “what breaks if I change it?”, “who decided that?”.
- You need every answer to carry its source — file and line, Slack permalink, doc paragraph — or you won’t trust it.
- You want your AI agents (Claude Code, Cursor) to use the same brain over MCP, not just a search box for humans.
- You would rather bring your own model key than pay per-seat markup on inference.
Side by side
| Enhanciar | Glean | |
|---|---|---|
| Built for | Engineering teams, 5–50 people | Enterprises, company-wide |
| Citations | Every claim, to file:line / message / paragraph; says “I don’t know” otherwise | Answers reference source documents |
| Code understanding | Knowledge graph of the codebase; impact analysis (“what breaks if I change this”) | Indexes code repositories as documents |
| When it doesn’t know | Names the teammate likely to know, asks them in Slack, files the reply into the wiki | — |
| Agents | Remote MCP server (official registry: in.enhanciar/enhanciar) | Glean’s own agent platform |
| Actions | Proposes Jira/Linear/GitHub/Slack/calendar actions; a person approves each | Agent workflows |
| Model | Bring your own key (Anthropic, OpenAI, Google, OpenAI-compatible); $0 inference markup | Managed by Glean |
| Pricing | $19/mo solo, $80/mo team (annual); public | Sales-led; not published |
| Getting started | Waitlist (early access), then self-serve | Sales contact |
Glean details are from Glean’s public website as of September 2026 and are summarised, not quoted; if anything here is out of date, tell us and we’ll fix it.
Other tools people compare us with
Unblocked also answers codebase questions from Slack and code history and is a fair comparison for engineering teams; it is priced per user. The differences that matter in practice: Enhanciar is bring-your-own-key, keeps a wiki and graph you can read yourself, runs impact analysis, and is an MCP server your agents can query. Notion AI and Confluence AI answer from the documents inside those products; neither reads your code.
Try it
The demo on the homepage runs against a real ingested repository with no sign-up. Early access is by waitlist; the first cohort is being invited now.