Agentic Index
Ema vs Glean (2026)
Ema and Glean both deploy AI across the enterprise, and the split is AI employees versus knowledge platform: Ema deploys specialized agent personas across HR, finance, and operations as an AI employee layer, while Glean builds the permissions aware knowledge graph with search, assistant, and agents on top. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Both are contact sales. Choose Ema to staff functions with role shaped agents, Glean to build the knowledge foundation everything grounds on.
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Ema and Glean are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 956 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Ema if
- Role shaped AI employees (HR, finance, ops personas) match your automation model.
- Function by function deployment of specialized agents is your roadmap.
- You want outcomes per function more than a horizontal platform.
Choose Glean if
- The knowledge foundation (search, graph, permissions) is the first investment.
- Grounded assistance across 100+ systems serves every function at once.
- Platform depth beats persona breadth in your strategy.
| At a glance | Ema | Glean |
|---|---|---|
| Category | Enterprise operations agent | Enterprise operations agent |
| Entry price | Contact sales for paid access; a free trial is available self-serve at try.ema.ai. Pricing is outcome-based rather than per seat. No figure, unit or minimum is published. | Contact for pricing |
| Free / trial | n/p | — |
| Pricing confidence | contact only | contact only |
| Feature | E Ema |
G Glean |
|---|---|---|
| Action & orchestration | ||
|
Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
Full / Explicit | Full / Explicit |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
Full / Explicit | Full / Explicit |
|
Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
Partial | Full / Explicit |
| Knowledge & context | ||
|
Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
Full / Explicit | Full / Explicit |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
Partial | Partial |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Full / Explicit | Full / Explicit |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Full / Explicit | Full / Explicit |
|
Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
Full / Explicit | Full / Explicit |
|
Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
Full / Explicit | Full / Explicit |
| Solution readiness | ||
|
Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
Full / Explicit | Full / Explicit |
| Platform extensibility | ||
|
Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
Full / Explicit | Full / Explicit |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Partial | Full / Explicit |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Partial | Partial |
| Specialist automation | ||
|
Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
No / Not documented | No / Not documented |
Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | E Ema |
G Glean |
|---|---|---|
|
Entry price Lowest public entry point |
Contact sales for paid access; a free trial is available self-serve at try.ema.ai. Pricing is outcome-based rather than per seat. No figure, unit or minimum is published. | Contact for pricing |
|
Pricing confidence How public the numbers are |
Contact only | Contact only |
|
Billing Primary billing axis |
Outcome-based rather than per seat, stated first-party on the homepage as part of the commercial pitch: "Consolidate SaaS, Outcome-based pricing, No unused module, No tokenmaxxing." Ema sells AI Employees as headcount substitutes, so the unit is work delivered rather than users licensed. No rate, unit definition or minimum is published, and nothing states what an outcome is measured as — a resolved ticket, a completed workflow, a filled role. | — |
|
Variable cost Workload / overage exposure |
High variable cost | Medium variable cost |
|
Free tier / trial Try before you buy |
No free tierTrial
|
No free tier
|
|
Buying motion Self-serve vs sales call |
Mixed | — |
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