CRM & Data
Raw transcripts don't belong in CRMs. They're too long, too unstructured, and too noisy to be useful as records. What does belong there are structured signals - scores, risk flags, action items, competitive mentions, and metadata fields that map cleanly to your existing data model. The same logic applies to data warehouses and databases: structured signals are queryable, joinable, and reportable. The guides below cover how to push conversation intelligence into the systems where your team already works.
Guides
Explore crm & data
Salesforce
Push structured call signals into Salesforce records.
HubSpot
Enrich HubSpot contacts and deals with conversation data.
Microsoft Dynamics
Push structured conversation signals into Dynamics 365 records.
Pipedrive
Enrich Pipedrive deals and contacts with conversation data.
Zoho
Push structured call signals into Zoho CRM records.
Snowflake
Load structured conversation data into Snowflake.
BigQuery
Query conversation signals in Google BigQuery.
PostgreSQL
Store structured call data in PostgreSQL.
Amazon Redshift
Load structured conversation data into Amazon Redshift.
Databricks
Store conversation signals in Databricks Lakehouse.
Supabase
Store structured conversation data in Supabase (PostgreSQL).
Azure Synapse
Load conversation data into Azure Synapse Analytics.
Google Cloud SQL
Store conversation data in Google Cloud SQL.
Modeling Best Practices
Canonical guide to modeling Semarize outputs in any database or warehouse.
Explore more resources
Browse all resource categories for guides on exporting data, building automations, and designing evaluation frameworks.