Product overview
The Conversational Intelligence API
for structured data
Semarize converts unstructured conversations into typed fields, scores, and flags: decision-grade data for your systems, not summaries for people to read.
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Transcript
Where are you on budget for this quarter?
Budget is approved, we have sign-off from finance.
Great. What would the next step look like?
Legal needs to review before next Friday. We are also looking at Rival Co.
+ 38 more lines
Extracted output
View JSONEvidence
View in transcript"Legal needs to review before next Friday."
confidence 0.86
Why this exists
Valuable data is trapped in conversation.
Recorders capture the call and your CRM stores whatever the rep typed afterwards, but the evidence that actually moved the deal stays locked inside transcripts, summaries, and notes that nothing downstream can query, trend, or act on.
See how the evidence becomes usableWhere are you on budget for this quarter?
Budget is approved, we have sign-off from finance.
Legal needs to review before next Friday.
Who else needs to be involved in the decision?
Our CTO and security team will need to sign off.
We are also evaluating Rival Co.
Can't trigger automation
Signals stay in text, so nothing downstream can act on them.
Can't be reported on
With no structured fields, there is nothing to chart or trend.
Risk goes undetected
Blockers and competitor mentions are said once, then lost.
Coaching can't scale
Manual review never surfaces the patterns worth coaching.
The notetaker ceiling
Notetakers only provide summaries.
A notetaker sits in the meeting and hands back a tidy recap with a few action items, which is genuinely useful for a person catching up later. The recap is the ceiling though, because a paragraph cannot populate a field, trigger a workflow, or be trended across every call.
Semarize works from the transcript underneath the same notetaker, so keep the one you run today.
- Fireflies
- Fathom
- Otter
- tl;dv
- Granola
AI summary
The buyer confirmed budget is approved with finance sign-off, and seemed positive overall. They raised a legal review that needs to clear before next Friday, which could move the timeline, and mentioned they are also evaluating a competitor. The CTO and security team will be involved in the decision.
Action items
- Send the security questionnaire to the buyer
- Schedule a technical deep dive with their CTO
- Share pricing once legal review is confirmed
The summary says it. Semarize structures it.
Reading vs using
Summaries are for reading. Structured data is for using.
The same call can come back two ways. One is written for a person to skim once, and the other is written for the systems that run your revenue.
"The buyer seemed positive but raised a legal review that could push the timeline. A competitor came up, and budget looks likely."
Good for a person catching up. A system cannot query, trend, or trigger from a paragraph.
The same call, returned as typed fields your stack can read on the first try.
What structured data lets you do
Populate
Typed fields write straight into CRM columns and warehouse tables.
Trigger
A boolean or a score fires the automation that opens a ticket or alerts an owner.
Trend
A stable schema makes week over week and rep over rep reporting possible.
Score
Numeric values let you rank, threshold, and compare across every call.
Audit
Each value carries the transcript line behind it, so the result holds up.
Architecture
How Semarize makes it happen.
Semarize sits after your capture tools and before your operational systems, so keep the stack you have and we will read the transcripts those tools already produce and pass structured output to the systems that need it.
Capture tools
The tools already recording your conversations.
- Gong
- Zoom
- Fireflies
- Aircall
- HubSpot / Salesforce notes
- Support and chat tools
Semarize
Semantic layerTurns conversation evidence into the fields, scores, flags, and evidence your systems can use.
FieldsScoresFlagsEvidenceOperational systems
Where typed signals land and get used.
- CRM
- BI
- QA
- Coaching
- Workflow automation
- Internal apps
Deterministic
Same input, same shape
Versioned
Checks and frameworks
Evidence-backed
A line behind every value
Typed output
JSON your systems read
The output
Machine readable data
for every conversation.
Each run resolves the conversation into fields, scores, flags, and the exact lines that support them, so here is what a single record hands back to your systems.
Run record
One run, structured output, evidence attached.
run_id
run_01J3T8…N1D4
source
discovery_call
schema
sales_signals
- budget_confirmedbooleantrue0.92
"Budget is approved, we have sign-off from finance." · 09:12
- next_stepstringLegal review0.87
"Legal needs to review before next Friday." · 16:03
- competitor_mentionedstringRival Co0.74
"We are also looking at Rival Co." · 21:11
- forecast_riskenum (low, medium, high)high0.68
"Could push the timeline if legal takes longer." · 24:52
- stakeholder_financebooleantrue0.89
"We have sign-off from finance." · 09:12
Same typed fields, every run
The shape stays stable across calls, so you map it once and never re-read a conversation by hand.
Each value carries its evidence
The supporting line and a confidence score travel with the field, so a person or a system can trust the result without replaying the call.
Ready for where it lands
It drops straight into your CRM, your BI tool, or an automation, with no parsing layer in between.
Deterministic, auditable, and ready to act on.
Built for systems, not slide decks.
Trust
Output you can build on with confidence
Reading a call is the easy part, and the trust comes from output that is business-specific, repeatable, and ready for your systems, with the supporting evidence and the reasoning attached to every field.
Typed schema
Booleans, scores, categories, and extracted values come back in the same shape on every run, so each field maps cleanly to a CRM column or a warehouse table.
Evidence spans
Every answer carries the exact transcript line behind it. When a flag or a forecast is questioned, the proof is one click away.
Confidence and reasoning
Each value comes with a confidence and the reasoning that produced it. Route the uncertain results for review and let the rest flow straight through.
Repeatable evaluation logic
The same check on the same conversation returns the same answer, which is what makes the data safe to compare across reps, segments, and quarters.
Versioned checks and frameworks
Checks and the frameworks that group them are versioned. You can change how you measure without breaking what you already reported.
Knowledge grounding
Checks evaluate against your playbooks, pricing, policies, and product docs, so outputs reflect how your business actually works rather than the model's assumptions.
In practice
Every team gets
structured output it can use.
Once each conversation resolves into typed fields, the same run can enrich CRM, score process adherence, guide coaching, and flag risk.
CRM enrichment
RevOpsBudget, timeline, stakeholders, and competitors written back as fields.
budgettimelinecompetitorExplore RevOpsProcess adherence
QAWhether a call followed MEDDICC, BANT, or your own framework, scored per criterion.
meddicccriteriascoreExplore QACoaching and QA
EnablementQuestion depth, objection handling, and discovery, trended without listening to every call.
discoveryobjectionsskill_liftExplore coachingRisk detection
CSLegal blockers, budget delays, and competitor presence flagged for triage.
legaldelaychurn_riskExplore CS
Ready to build
Build & run your first Kit in minutes.
Create a workspace, choose or define a Kit, and inspect the typed fields, confidence, reasons, and evidence Semarize returns.
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Questions
Frequently asked questions
What a conversational intelligence API is, what it returns, and how Semarize fits alongside the tools you already use.
From the blog
Further reading
Practical pieces for teams turning conversation content into typed fields, stable evaluation schemas, and API workflows.