Agentic Products / 2025–26
Actual Voice
A voice intelligence platform that turns open-ended spoken feedback into useful group-level themes and engagement signals without exposing raw individual responses.
From audio to an actionable signal
Spoken feedback contains nuance that surveys often erase, but listening to every response does not scale. Actual Voice turns those responses into patterns leaders can use: recurring themes, engagement signals, and dashboard-ready summaries.
The hard part is not sending audio to a transcription model. It is moving sensitive data through storage, transcription, per-response analysis, aggregation, and regeneration while keeping each stage observable and recoverable.
A durable asynchronous workflow
Uploads enter a tenant-aware pipeline backed by Supabase Storage, Postgres, Edge Functions, and worker queues. Each stage records enough state to retry safely. Debounced aggregation prevents every new response from triggering redundant group computation, while fallback handling keeps temporary queue or model failures from blocking the respondent experience.
The analysis contract separates respondent-level evidence from group-level interpretation. Relevance filtering happens close to the source analysis so weak or off-question themes do not become authoritative simply because they survived into the final prompt.
Trustworthy summaries
Aggregate outputs enforce product contracts at runtime—privacy boundaries, required structure, and useful length—without reducing the model to rigid template filling. Production validation force-regenerates current insight data rather than accidentally reviewing stale cached summaries.
The result is an AI feature that behaves like production infrastructure: it can be monitored, repaired, backfilled, and evaluated against real questions and transcripts.