Agentic Index

Agentic Index

Relevance AI vs Wand AI (2026)

Relevance AI and Wand both sell the AI workforce vision with opposite go to market motions: Relevance is self serve, with Pro at 19 dollars a month billed annually, a template marketplace and bring your own model keys, letting business teams build their own agent workforce, while Wand is enterprise quoted, scoped from single process automation up to entire divisions across hosted, private cloud, and on premises deployment. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.

Teams building their own agents bottom up start on Relevance today; enterprises commissioning an agentic workforce top down with deployment control engage Wand.

On the Agentic Index self hosted platform ranking, Relevance AI clears the bar and Wand AI does not. Relevance AI documents both containment capabilities in full; Wand AI does not document model flexibility and routing in full. 171 of the 554 platforms it grades clear it. See the self hosted platform ranking

This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Relevance AI and Wand AI 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 955 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded

Choose Relevance AI if

  • Self serve building on published plans is how your team adopts.
  • A template marketplace shortcuts your first agent deployments.
  • Nineteen dollars a month with your own model keys fits the budget.

Choose Wand AI if

  • A scoped enterprise engagement across divisions is the actual project.
  • Private cloud or on premises deployment is required.
  • Executive sponsored transformation fits a quoted platform.
Feature
R
Relevance AI
W
Wand AI
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.

Workflow Orchestration

Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps.

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.
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.

Memory & State Persistence

Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer.
Control & trust

Human Oversight & Guardrails

Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls.

Security, Identity & Governance

RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy.

Observability & Auditability

Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior.

Deployment & Data Residency

Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting.
Solution readiness

Prebuilt Agents, Templates & Packs

Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value.
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.

APIs, SDKs & MCP Extensibility

Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems.

Testing, Debugging & Optimization

Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment.
Specialist automation

Browser & Computer Use

Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone.

Pricing snapshot

Sourced from the Index pricing dataset · open each vendor's profile for full detail.

Pricing
R
Relevance AI
W
Wand AI

Entry price

Lowest public entry point

 Pro at $19 a month billed annually or $29 monthly, Team at $234 a month billed annually or $349 monthly, and Enterprise at custom pricing. Not public; enterprise platform quoted through sales, scoped from single process automation up to entire divisions

Pricing confidence

How public the numbers are

 Public, partial Contact only

Billing

Primary billing axis

 A plan subscription with two meters. Actions count each tool run, and Vendor Credits pay model and tool costs at provider rates with no markup. enterprise agreement, believed scoped to agents, processes automated, and deployment model

Variable cost

Workload / overage exposure

 High variable cost Medium variable cost

Free tier / trial

Try before you buy
No free tier
No free tier

Buying motion

Self-serve vs sales call

 Self-serve Sales call
Relevance AI profileWand AI profileCompare the full categorySee multi-agent platforms rankedBuild a custom comparison

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