Speak Ai

Speak AI operates a conversation intelligence platform that captures audio and video from meetings, interviews, calls and field recordings, transcribes them across 100+ languages (the product documentation cites 135 languages for transcription), separates and identifies speakers, and extracts structured data such as themes, keywords, categories, sentiment scores and customer-defined AI fields. The company positions the product both as a self-serve tool and as a base layer for custom AI applications, marketing an "engineered with you" approach in which fields, scoring rubrics and prompts are configured around a customer's workflow and primed on their historical recordings before go-live.

Capture is handled through six channels: a Meeting Assistant that auto-joins Zoom, Microsoft Teams, Google Meet and Webex; an embeddable, brandable web recorder with custom domains and CSS; iOS and Android apps with offline field recording and white-label options; direct file upload and URL/YouTube import; inbound phone transcription; and voice agents. Downstream features include AI Chat over files and folders, batch and audio/video analysis, automations built from triggers, filters, branches and webhooks, dashboards with widgets and KPI cards, folders, tags and saved views, clips, public links, embedded players and shareable white-label libraries, plus exports of transcripts, insight data and word clouds.

The platform also offers real-time and post-call AI agents. Real-time voice, phone, web and video-avatar agents run conversations, capture structured fields, route and warm-transfer to a briefed human, while post-call agents score, tag and extract structured data in bulk. An MCP server exposes 100+ tools across 10 categories to 7+ AI assistants including Claude, ChatGPT and Cursor, alongside a developer API and integrations with Slack, Zapier, Vimeo, a Chrome extension and Google/Microsoft calendars. A published security documentation set covers policies including access management, encryption, incident response, business continuity, disaster recovery and records retention.

Founding story

Co-founded by Tyler Bryden and Vatsal Shah in Toronto to address the problem of unstructured voice and video data. Bryden, whose background is in data analytics and digital marketing, serves as CEO and leads product vision, growth and customer relationships; Shah serves as CTO and leads technical architecture, infrastructure and the engineering team building the transcription, NLP and AI systems.

Business model

Software-as-a-service sold on plans and subscriptions with a free trial and no-credit-card free account, metered by a credits and usage system with a credits calculator, invoices, receipts and self-serve payment methods. An affiliate program is offered. The company also sells AI consulting and custom build engagements, and white-label deployments in which customers run the capture-to-insight workflow under their own brand and domain (clientname.speakai.co or a custom domain).

Recurring subscription plans with credit-based usage, supplemented by consulting/custom application builds and white-label platform deployments.

Traction

The company states 300,000+ people and teams use the platform and cites a 4.9 rating on G2. Published case studies report outcomes such as a legal intelligence firm processing 5,100+ hours of carrier calls with $700K+ in savings, a healthcare consulting firm saving 10,000+ hours and $190K+, an e-commerce manufacturer saving 3,700+ hours and $185K+, a research agency saving 983 hours and $100K+, a legal tech company launching a white-label deposition platform eight months faster, and a recruiting firm cutting candidate report time from five hours to ten minutes.

Latest developments

The company has introduced audio and video analysis that goes beyond transcript-only insight, covering tone, emotion and energy as well as visual signals such as body language, screen-sharing content and facial expressions, offered with a booked setup call for first access. It has also shipped an MCP server providing 100+ tools to 7+ AI assistants with roughly 60-second setup via a single URL, along with Voice Agents features spanning creation, instructions and behavior, knowledge base, voice and avatar, testing, analytics and embedding. Documentation is published in Markdown and llms.txt formats for AI assistant consumption, last updated September 2026.