Is Fig an alternative to Glean?
For most companies, yes. Both provide AI grounded in company context, a model-agnostic stack, and governed agents. Glean is sold and priced for wall-to-wall enterprise rollouts with a broad connector catalog and full certifications. Fig is self-serve, priced on usage without seats, and built for teams and mid-market companies. If you need 275+ connectors and a customer-hosted tenant on day one, Glean is built for that.
How does Glean price compared to Fig?
Glean doesn't publish prices. Its Enterprise Flex model charges per-user Flex Seats plus pooled FlexCredits consumed by premium models, agent runs, and Deep Research; third-party indexes estimate $45–50 per user/month before add-ons and 100–250-seat minimums. Fig has no seats — team members are free to add, and usage is billed from a shared credit pool.
Are both Fig and Glean model-agnostic?
Yes. Glean offers 40+ models across OpenAI, Google, Anthropic, and others with bring-your-own-key options and its own routing model. Fig routes each task across frontier models from multiple labs with per-team usage controls.
Does Fig have a knowledge graph like Glean's?
Fig's Enterprise Graph plays the same role: it maps the people, teams, projects, and activity behind your data so answers reflect how the business actually works, with access following source permissions. Glean's graph spans 275+ connectors and is delivered through an enterprise rollout; Fig's is available to a team on day one.
Which is faster to roll out?
Fig. It's self-serve — a team creates a workspace, connects tools, and is working in Slack, desktop, mobile, or web the same day. Glean is sales-led; its own community guidance puts first value at roughly four to five weeks for a mid-sized company.