Agentic Index
Confident AI vs Galileo (2026)
Both evaluate and guardrail agent behaviour and they differ on whose models do the judging, at 7 and 6.5 of 14. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Galileo runs its own low latency Luna evaluation models to evaluate, observe and guardrail applications, from a hundred dollars monthly billed yearly with a free tier. Confident AI, from the creators of DeepEval, offers more than fifty open source metrics for agents, retrieval and chatbots, from 19.99 per seat. Galileo's purpose built evaluators are faster in the request path; Confident's are open, inspectable and a fifth of the price.
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Confident AI and Galileo 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 969 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Confident AI if
- Documented coverage is slightly broader and open inspectable metrics are what you trust.
- DeepEval heritage means your engineers may already know the framework.
- Nineteen dollars per seat against a hundred a month changes who can adopt it.
Choose Galileo if
- Low latency purpose built evaluators are required if guardrails sit in the request path.
- Guardrails as a first class product, not a byproduct of evaluation, is the need.
- One vendor across evaluation, observation and guardrails is the consolidation you want.
| At a glance | Confident AI | Galileo |
|---|---|---|
| Category | Agent infrastructure | Agent infrastructure |
| Entry price | From $19.99/seat/mo · free tier + open source | From $100/mo billed yearly · free tier |
| Free / trial | DeepEval free and open source; Confident AI free tier (2 seats, 1 project, 1 GB-month) | Free tier: 5,000 traces/month, unlimited users, unlimited custom evals, no card |
| Pricing confidence | public exact | public exact |
| Feature | C Confident AI |
G Galileo |
|---|---|---|
| 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. |
Partial | Partial |
|
Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
No / Not documented | No / Not documented |
|
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 | Partial |
| 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. |
No / Not documented | No / Not documented |
|
Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
No / Not documented | No / Not documented |
| Control & trust | ||
|
Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
Partial | Full / Explicit |
|
Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
Partial | Partial |
|
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. |
Partial | No / Not documented |
| 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. |
Partial | Partial |
|
APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
Full / Explicit | Partial |
|
Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
Full / Explicit | Full / Explicit |
| 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 | C Confident AI |
G Galileo |
|---|---|---|
|
Entry price Lowest public entry point |
From $19.99/seat/mo · free tier + open source | From $100/mo billed yearly · free tier |
|
Pricing confidence How public the numbers are |
Public, exact | Public, exact |
|
Billing Primary billing axis |
Per seat per month plus $1 per GB-month of data ingested or retained | Monthly traces within subscription tiers; Pro pricing scales with trace volume |
|
Variable cost Workload / overage exposure |
Low variable cost | Medium variable cost |
|
Free tier / trial Try before you buy |
Free tier
|
Free tier
|
|
Buying motion Self-serve vs sales call |
Mixed | Self-serve |
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