Agentic Index

Legion Intelligence vs Rasa (2026)

Both vendors last verified

Two platforms built for very different rooms. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.

Rasa is a conversational AI platform and enterprise framework, with full channel coverage, dialog orchestration, trustworthy AI positioning and self hosted or software as a service deployment, a free Developer Edition, then Business and Enterprise editions quoted by sales. Legion Intelligence is secure agent orchestration for defense, government and large enterprise, connecting critical systems, data and models into governed workflows with multi model routing, full auditability and human command, deployable across cloud, on premise, classified and air gapped environments. Conversation against command.

On the Agentic Index bring your own model ranking, Legion Intelligence and Rasa both clear the bar: each documents model flexibility and routing in full. 213 of the 556 platforms it grades clear it. See the bring your own model ranking

This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Legion Intelligence and Rasa 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 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded

Choose Legion Intelligence if

  • Classified or air gapped deployment is a requirement.
  • Human command over agent workflows is the governance model your mission demands.
  • Multi model routing across critical systems is the orchestration problem you have.

Choose Rasa if

  • Conversation is the interface you are building, across voice and chat channels.
  • A free Developer Edition lets your team evaluate before committing.
  • Broad channel support and dialog orchestration are the capability, not systems integration.
Feature
L
Legion Intelligence
R
Rasa
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
L
Legion Intelligence
R
Rasa

Entry price

Lowest public entry point

Contact sales. Pricing is set by network scope and user count. Free Developer Edition · paid plans quoted by sales

Pricing confidence

How public the numbers are

Contact only Public, partial

Billing

Primary billing axis

Enterprise and government contracts, priced by network scope and user count and scaled to deployment, environments and users. Annual platform subscription, tiered by conversation volume and quoted by sales.

Variable cost

Workload / overage exposure

Medium variable cost Medium variable cost

Free tier / trial

Try before you buy

No free tier
Free tier

Buying motion

Self-serve vs sales call

Sales call Sales call

Pricing verified

When this pricing was last checked

Product updates

Newest first, each linked to its source.

Rasa

  • · MCP / tool calling / API

    Mantle agents can now pass context to MCP servers as metadata kept apart from the tool arguments and the model's history.

    Source
  • · Human approval / guardrails

    In Rasa Pro 3.21.0 the copilot can plan before it builds: a prompt produces a build plan listing the agent's skills, which the user can read, refine in conversation or edit directly before approving.

    Source
  • · Workflow orchestration

    Rasa relaunched its platform around Mantle, a new orchestrator where builders write each skill as plain language instructions and Mantle routes between skills, calls tools and tracks memory.

    Source

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