Decagon vs Rasa
Relationship
Overlaps on agent orchestration, customer support and voice agent; Rasa's scale not recorded.
Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.
3 shared capabilities — Across all their products, both list agent orchestration, customer support and voice agent.
Ludbee capability tags · every product each company sellsShared product type — Both ship agent platform and application.
Ludbee product recordsAligned comparison
Capability overlap
Shared · 3
Not verified for Rasa · 4
Recorded for Decagon. Rasa’s product records say nothing either way — a missing record is not a missing capability.
Rasa has no capability Decagon lacks, among the 3 recorded here.
Products, side by side
Algorithmic pairing — assembled from recorded fields, not hand-checked
Decagon
Application
A/B-testing suite for AI support agents: structured experiments (tone, logic, flows) against live traffic with control groups, statistical-significance testing and gradual rollout.
Dashboards and natural-language querying ('Ask AI') over support data: CSAT/deflection performance tracking, heatmaps, customer-journey visualization and knowledge-base performance.
Analyzes support conversations to detect gaps in a company's help center and auto-generates draft articles, ranked by impact, with monthly updates.
Integrated testing suite (internally called 'Simulations') that validates AI-agent behavior across channels before production deployment.
Always-on monitoring and QA for AI and human agent interactions against custom quality criteria.
Agent platform
Decagon's authoring layer for the rules an AI support agent follows, so non-engineering teams can build, iterate on and scale agents.
An AI partner built into Decagon that helps teams build and improve support agents — distilling best practices from hundreds of Decagon deployments into guidance for the builder, and auto-tuning the agent via "Duet Autopilot," which improves it with every conversation it handles.
Rasa
Application
Self-hosted no-code workspace where non-developers visually build Rasa assistant flows, manage response content and test changes, exporting the assistant as code for the development team.
Agent platform
Platform for product and engineering teams to build, test, deploy and govern their own customer-facing AI agents across voice and text channels, with a free developer edition.
Rasa Voice provides infrastructure for real-time voice agents with turn-taking, interruptions, and rephrasing.
No counterpart
Decagon sells these in a stack layer with no product recorded for Rasa yet — nothing on the other side to compare them against.
AI agent
Builds and runs customer-support agents that resolve enquiries over chat, email and voice.
Decagon's chat channel — an AI agent that handles live customer conversations in a web or in-app chat surface.
Decagon's email channel — agents that read and answer customer email threads rather than routing them to a queue.
Decagon's voice channel — an AI agent that answers customer phone calls in place of a hold queue.
Rasa sells these in a stack layer with no product recorded for Decagon yet — nothing on the other side to compare them against.
Platform
Rasa's dialogue engine (Conversational AI with Language Models): an LLM interprets what the user wants while versioned, deterministic flows decide what the agent does, with built-in repair when users change topic or backtrack.
Orchestrator at the core of the Rasa Platform that runs agents written as natural-language skills: it picks the active skill, hands off between skills, calls tools, keeps memory, and enforces guarantees such as required values or exact wording, on chat and voice alike.