Supernormal launched in 2020 to remove the busywork of note-taking, and was among the first companies to wire OpenAI-style language models into meeting transcription. The product runs as a notetaker that joins video calls on Zoom, Google Meet, and Microsoft Teams, capturing audio and producing a clean, structured summary that marks where goals were set, decisions were made, and action items were assigned. A native desktop notetaker also records in-person and non-integrated conversations, so coverage extends beyond scheduled video calls.

What distinguishes Supernormal from a pure transcription tool is its push downstream into finished work. The company has reframed the product around turning meeting notes into completed client deliverables: running templates over a transcript to draft pitch decks, creative briefs, one-pagers, proposals, and campaign assets, while pulling in additional context from connected documents and email. This 'meeting to deliverable' angle targets agencies and consultancies whose billable output starts with a client conversation.

The company raised a $10 million seed round in January 2023 led by Balderton Capital, with participation from EQT Ventures, Acequia Capital, and byFounders, bringing total funding to roughly $12.9 million. The round funded an expansion from a small founding team toward a larger product and go-to-market organization.

Supernormal was founded by Colin Treseler and Fabian Perez, operating across Stockholm, Sweden and New York. The product integrates with calendars, video conferencing platforms, CRMs, and knowledge tools so that notes flow automatically into the systems teams already use. With 700,000+ organizations on the platform, Supernormal competes in a crowded meeting-AI category by leaning into output generation rather than transcription alone.

For distributed teams, agencies, and client-services businesses, Supernormal aims to compress the gap between a conversation and the artifact it should produce, positioning AI meeting notes as the front end of an automated work pipeline rather than a passive archive.