Decagon vs Deepgram
Relationship
Assembled from the recorded fields for this pair, not hand-checked. The comparison below is read from each company’s own profile.
Aligned comparison
Capability overlap
Shared · 3
Not verified for Deepgram · 4
Recorded for Decagon. Deepgram’s product records say nothing either way — a missing record is not a missing capability.
Not verified for Decagon · 2
Recorded for Deepgram. Decagon’s product records say nothing either way — a missing record is not a missing capability.
Products, side by side
Algorithmic pairing — assembled from recorded fields, not hand-checked
Decagon
No shared stack layer with the other side.
Deepgram
No shared stack layer with the other side.
No counterpart
Decagon sells these in a stack layer with no product recorded for Deepgram yet — nothing on the other side to compare them against.
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.
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.
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.
Deepgram sells these in a stack layer with no product recorded for Decagon yet — nothing on the other side to compare them against.
API service
Language-understanding features layered on Deepgram's speech recognition — summarisation, topic and intent detection over conversational audio.
Deepgram's text-to-speech API, marketed on low latency (responses from about 80ms) and on being deployable in the customer's own environment as well as on Deepgram's cloud.
Speech-to-text API supporting 45+ languages with streaming and batch transcription, speaker identification and smart formatting, alongside companion text-to-speech and voice-agent APIs.
A single API for building real-time voice agents, combining Deepgram's speech-to-text and text-to-speech with LLM orchestration.