Every conversation,decoded.
Conversation intelligence across 100% of your calls humans and AI in one view. Know what's working. Fix what's not. Forecast from what was actually said.
Insights dashboard
topics · win/loss themes · deal risk
Your CRM tells you what closed. It doesn't tell you why.
Only 2% of calls get reviewed
Sampling misses the conversations where the killer objection actually appeared. By the time a manager catches the pattern, it has cost three deals you could have saved.
of calls reviewed by managers
Every call. Every theme. Every deal.
Insights captures, transcribes, and analyzes every conversation then turns the patterns into reports your revenue team actually reads.
Turn conversations into pipeline.
From auto-capture to forecast Insights analyzes every call your humans and AI agents make, in one view.
100% call capture, auto-transcription.
Capture inbox · transcripts
Every voice and video call recorded, transcribed, and analyzed across human and AI agents. No sampling, no exports, no manual tagging.
of calls analyzed, not sampled
Win/loss themes that compound.
Theme library · clip player
AI extracts the recurring objections, the killer questions, and the moments deals turn. Patterns roll into a single library managers can search by stage, segment, or rep.
win rate from theme adoption
Deal-risk alerts before it's too late.
Deal-risk dashboard
Insights flags slipping deals 3 weeks earlier than CRM signals based on what was actually said: champion silence, pricing pushback, missing decision-maker.
earlier than CRM signal
Coaching dashboards every rep sees.
Rep scorecard view
Personal scorecards, top-rep clip libraries, and weekly coaching prompts generated from your team's actual calls, not generic frameworks.
faster rep ramp
Why teams switch from Gong and Chorus.
Same conversation intelligence plus the AI agents that make the calls.
| OneInbox | Others | |
|---|---|---|
| 100% call capture across human + AI | ||
| Native EN + JA topic detection | ||
| Deal-risk alerts from conversation signals | ||
| Forecast model fed by call data | ||
| Same platform that runs your AI agents | ||
| PII redaction + APPI / GDPR by default |
+18% forecast accuracy in one quarter
Customer story
+18% forecast accuracy in one quarter
A regional SaaS leader replaced gut-feel forecast calls with Insights signal. Deal-risk alerts surfaced 3 weeks earlier than CRM, and forecast accuracy jumped 18% in a single quarter.
forecast accuracy
win rate
Insights surfaces deal risk 3 weeks before our CRM does. Our forecast accuracy jumped 18% in one quarter without changing the team.
Chief Revenue Officer
Revenue leader · APAC SaaS leader
FAQ
Native ingest from Zoom, Google Meet, MS Teams, Aircall, Five9, Genesys, and most major SIP providers. Calls placed by OneInbox AI agents are captured natively at zero added cost.
Real-time PII redaction on transcripts (cards, IDs, names on request). Data residency configurable to Japan, EU, US. APPI and GDPR compliant by default.
Yes define a tracker in plain English ('mentions of competitor X', 'pricing objection'), and Insights backfills it across every historical call.
Yes JA-native, not bolt-on. Topic detection, sentiment, and clip search all work in EN, JA, and mixed-language calls.
Bidirectional. Conversation signals (champion silence, pricing pushback) write back to opportunity records as deal-risk fields you can build pipelines and forecasts on.
Stop forecasting on gut. Forecast on what was said.
See Insights running on a sample of your calls in a 30-minute live demo.