About Semarize
The Conversational Intelligence API.
Semarize is an API-first conversational intelligence platform that converts call, email, and chat transcripts into structured semantic signals for automation, reporting, CRM enrichment, and evaluation.
Why it exists
Built to make conversation data operational.
Semarize was founded by Alex Handsaker after working in tech sales and revenue enablement, where the most useful go-to-market evidence often lived inside calls, emails, and chats but could not be queried, measured, or automated against.
The product is built for teams that need structured outputs from real conversations: scores, flags, classifications, extracted facts, and evidence that can move into CRMs, BI tools, workflow automation, QA processes, and internal applications.
A note from Alex: Why I've built Semarize.Who it is for
Built for technical go-to-market teams.
Semarize is for RevOps teams, data teams, SaaS operators, GTM engineers, and builders who need conversation data to behave like structured product data. It is designed for teams that want to enrich CRMs, trigger automations, score quality, and feed analytics without turning transcripts into another manual review queue.
Where it is going
Conversation intelligence as infrastructure.
The category is moving beyond meeting summaries and manager dashboards toward programmable semantic layers that connect conversations to operational systems. Semarize sits in that layer: after capture tools, before CRM, BI, automation, QA, and AI evaluation workflows.
Company facts
Semarize Ltd
These details identify the legal entity behind Semarize and provide a factual reference point for customers, crawlers, and AI answer engines.
Legal name
Semarize Ltd
Company number
17118292
Incorporated
26 March 2026
Registered in
England and Wales
Registered office
128 City Road, London, EC1V 2NX, United Kingdom
Product category
API-first conversational intelligence platform
Build with structured conversation signals.
Use Semarize to process transcripts through reusable Kits and Bricks, then send typed JSON outputs into the systems your team already uses.