Use cases
One API.
Every conversation insight your team needs.
Semarize extracts structured semantic signals from conversations. The same primitives - Bricks, Kits, and a single API - serve sales coaching, RevOps, CS, QA, AI evaluation, and data science teams.
Sales Coaching
Sales Enablement & Coaching Teams
Replace subjective call reviews with deterministic rubric scoring. Track framework adoption, measure skill lift, and coach with data - not opinions.
RevOps
Revenue Operations Leaders
Enrich CRM fields from what was actually said. Detect forecast risk, measure process adherence, and feed BI with conversation-derived signals at scale.
Customer Success
Customer Success Teams
Detect churn risk, expansion intent, and sentiment shifts from customer conversations. Stop relying on product usage alone - conversations reveal what metrics can't.
QA & Compliance
Quality Assurance & Compliance Teams
Automate QA across 100% of conversations. Check compliance requirements, script adherence, and regulatory language - with evidence trails for every evaluation.
AI Evaluation
AI Engineers & Product Teams
Evaluate AI-generated conversations at scale. Score chatbot quality, detect hallucinations, and measure instruction adherence - with structured signals, not manual annotation.
Data Science
BI & Data Teams
Get warehouse-ready semantic data from conversations. Boolean flags, numeric scores, and extracted values - structured JSON that feeds directly into your data stack.
Why one platform
Same primitives. Different outcomes.
Bricks evaluate single dimensions. Kits bundle them into reusable frameworks. The API returns structured JSON every time. What changes is what you evaluate and where you send the signals - not the architecture.
Bricks
Atomic semantic checks. Each one evaluates a single dimension and returns a typed value.
Kits
Bundles of Bricks that form evaluation frameworks. One API call, multiple signals.
Structured JSON
Every response is deterministic, typed, and queryable. Feed it anywhere - CRM, BI, warehouse, automation.
Start with your use case.
Build with the same API.
Pick the use case that matters most. Define your Bricks. Bundle them into a Kit. Get structured signals from every conversation.