Put every call into your revenue stack
Conversation intelligence only reviews the calls that get matched to an opportunity, and even then the insight stays in its UI. Semarize runs through the API on every conversation - matched or not - and writes structured fields straight into your CRM, warehouse, and forecast.
Kit
Pipeline Coverage Kit
Output
{
"call_linked_to_opportunity": false,
"conversation_type": "renewal",
"budget_confirmed": false
}
RevOps use cases
Every conversation,
in your revenue stack
01 / Call coverage
Review every call, even the ones your CI tool never sees
Conversation intelligence platforms only analyse calls that get matched to an opportunity. A dial from an unknown number, a deal logged a week late, a renewal or partner call - none of it links, so none of it gets reviewed. Semarize works through the API on any conversation, whether or not it's tied to a CRM record, and scores it against your rules instead of a vendor's fixed model.
This week
1,284 conversations
02 / CRM enrichment
Write structured fields back to the opportunity automatically
Budget, timeline, stakeholders, the competitor that came up - it all stays blank on the record until someone chases the rep for it. Semarize reads those values out of the conversation and writes them into the opportunity fields, so the CRM matches what was actually said and nobody retypes anything.
Opportunity
Cedarpoint Logistics - Platform Subscription
budget_amount
$25,000
competitor
Gong
next_step
Technical demo
timeline
Q2 2026
Owner
Sarah Chen
Stage
Discovery
Lead Source
Outbound
Account
Cedarpoint Logistics
03 / Forecast integrity
Trust your pipeline stages and your forecast roll-up
A deal can sit in Proposal when pricing was never raised. A whole commit number can rest on opportunities where budget was never confirmed. Semarize scores the exit criteria for each stage and the risk signals across the pipeline, so you can hold deals to a real bar before they advance and roll up a forecast built on evidence rather than optimism.
Pipeline
stage-exit criteria
The problem
Your systems only see
the calls that got logged
Revenue operations runs on data. But the richest signal - what was actually said - either never gets captured or never leaves the call tool.
Half your calls never get reviewed
Conversation tools only analyse calls matched to an opportunity. Unlinked numbers, late-logged deals, renewals, and partner calls stay invisible.
Insight is trapped in another UI
Even the calls that do get analysed produce dashboards inside the vendor's tool, not fields in your CRM or warehouse.
CRM fields depend on what a rep types
Budget, timeline, stakeholders, and competitors are missing or stale until someone chases the rep for them.
Your forecast inherits every gap
Stage and commit roll-ups are only as good as the data underneath, and most of that data never gets entered.
Why existing tools fail
Conversation tools weren't built
to feed your systems
They optimise for a person reading a summary, not for structured data landing in your stack.
Conversation intelligence platforms
Only analyse calls matched to a CRM opportunity, and keep the output in their own UI. The unmatched calls, and the structured fields, never reach your systems.
Forecasting platforms
Model pipeline from CRM activity. When the underlying fields are missing, the forecast is modelling gaps.
Manual CRM hygiene
Ops chases reps to update fields after the call. It doesn't scale, and it's always a step behind the pipeline.
The Semarize approach
Semarize runs on every call
and writes to your stack
Score any conversation through the API, matched to an opportunity or not, and push structured fields straight into CRM, warehouse, and forecast.
Coverage with no CRM dependency
Run any conversation through the API by ID. No opportunity match required, so renewals, partner calls, and late-logged deals get reviewed too.
Your logic, not a vendor's model
Define the Bricks that matter to your operation. Semarize evaluates against your rules, not a fixed model you cannot change.
Structured fields into the CRM
Budget, timeline, stakeholders, and competitors written straight to the opportunity as typed fields.
Forecast and stage integrity
Score stage-exit criteria and risk signals across the pipeline, so the roll-up rests on evidence.
Bricks & Kits
Example Bricks for
revops
These Bricks evaluate the specific dimensions that matter for revenue operations leaders. Bundle them into Kits to create reusable evaluation frameworks.
Whether the conversation is matched to a CRM opportunity
Type of conversation detected
Explicit budget confirmation or commitment mentioned
Timing signals and urgency cues detected
Required exit criteria for the current stage were covered
Composite forecast risk level for the deal
Pipeline Coverage Kit
kitReview every conversation, whether or not it is linked to a deal.
Stage Integrity Kit
kitHold every deal to its stage-exit criteria before it advances.
Output
Structured signals,
not summaries
Every evaluation returns deterministic JSON with typed values, reasons, and evidence spans. Same schema every time.
{
"run_id": "run_rev789",
"source_conversation": "conv_4c8a",
"status": "succeeded",
"output": {
"bricks": {
"call_linked_to_opportunity": {
"value": false,
"confidence": 0.97,
"reason": "No matching opportunity in CRM at evaluation time",
"evidence": []
},
"conversation_type": {
"value": "renewal",
"confidence": 0.91,
"reason": "Existing customer discussing contract renewal",
"evidence": ["...when we come up for renewal in March..."]
},
"forecast_risk": {
"value": "high",
"confidence": 0.84,
"reason": "Budget not confirmed and stage criteria unmet",
"evidence": ["...still need sign-off on the spend..."]
}
}
}
}Put every call
to work.
Run every conversation through the API, write structured fields to your CRM, and roll up a forecast built on evidence.