Speak AI
Speak AI provides a platform for building custom AI applications that transcribe, score, coach, and analyze conversations across voice, text, and visual data in 100+ languages. The system captures calls from Zoom, Teams, and other sources, applies client-specific scoring rubrics, and offers multi-model AI Chat for querying transcript libraries. White-label client portals enable agencies and consultancies to deliver branded findings to their own customers.
- Artificial Intelligence
- Data & Analytics
- Sales Technology
- Enterprise Software
- Software Only
- AI Agents
Funding
Funding not disclosed
Founders
Founder details are not available yet.
Product
Problem
Teams that depend on analyzing customer conversations, interviews, and focus groups rely on manual review, which is slow and inconsistent across analysts. Key insights from spoken interactions are lost when transcription, coding, and reporting tools are fragmented across multiple applications, making it difficult to scale qualitative analysis.
Solution
Speak AI provides a platform to build custom AI applications that transcribe, score, coach, and analyze conversations across voice, text, and visual data in 100+ languages. The system captures conversations from meetings, uploads, or embeddable recorders; transcribes them with enterprise-grade engines; and applies AI models to score calls against a client's own rubric, detect themes, and generate summaries. An AI Chat interface with multi-model support (Claude, GPT, Gemini) allows users to query across entire transcript libraries, while white-label client portals enable agencies to deliver findings under their own brand. The platform connects to widely used tools like Zoom, Teams, Slack, and Zapier, and offers an MCP server for integrating AI assistants.
Target Audience
Primary customers are sales teams, market research agencies, consulting firms, and training companies that need to analyze large volumes of conversations for coaching, research, and client reporting.
Features
- Conversation capture via auto-join for Zoom, Google Meet, and Teams, plus embeddable recorder, mobile apps, uploads, and phone call integration
- Enterprise transcription engines (AssemblyAI, Deepgram, Microsoft Azure, AWS) with speaker identification, timestamps, and 100+ language support
- Call scoring engine that converts a client's manual rubric into a weighted 0–100 score per call type, including SPIN, BANT, MEDDIC, Challenger, or custom playbooks
- Multi-model AI Chat using Claude, GPT, Gemini, and Cohere for querying across transcripts, theme coding, objection tracking, and competitive analysis
- White-label client portals with custom branding, searchable transcript libraries, keyword clips, and sentiment views for client deliverables
- MCP server providing 100+ tools for assistants like Claude, ChatGPT, and Cursor, plus a developer API and Zapier integrations