MeetStream AI

Product Introduction

1. Definition: MeetStream AI is a developer-first API platform and infrastructure service for building real-time AI meeting agents and bots. Technically, it is a unified API layer and managed cloud infrastructure that abstracts the complexities of integrating with major video conferencing platforms like Zoom, Google Meet, and Microsoft Teams.
2. Core Value Proposition: It exists to eliminate the months of engineering effort required to build, maintain, and scale direct integrations for meeting bots. Its primary value is providing a single, robust API that allows developers to programmatically join meetings as a participant, capture high-fidelity audio/video streams, generate real-time transcripts, and enable AI agents to listen, speak, and act during live calls.

Main Features

1. Unified Multi-Platform Bot API: A single RESTful API endpoint (POST /api/v1/bots/create_bot) to deploy a virtual participant (bot) into any Zoom, Google Meet, or Microsoft Teams meeting. The API accepts a meeting link and bot name, handling all authentication, joining logic, and platform-specific protocols behind the scenes. This removes the need for developers to use separate SDKs or OAuth flows for each platform.
2. Real-Time, Per-Participant Audio/Video Streaming: Delivers individual, low-latency (advertised ~200ms) audio and video streams for each meeting participant directly to the developer's application via secure WebSocket connections. This architectural approach provides raw media streams, enabling advanced AI processing, rather than just a single mixed recording.
3. Platform-Accurate Real-Time Transcription: Generates live transcripts with precise speaker identification. Unlike solutions that rely solely on AI diarization models to guess who is speaking, MeetStream AI leverages the native audio track separation from each platform to assign speaker labels definitively, ensuring high accuracy even during cross-talk.
4. High-Quality Recording & Metadata Capture: Records meetings in standard MP4 format and extracts over 50 real-time data points. This includes structured meeting metadata (participant list, join/leave times, host status), chat messages, and participant activity (e.g., speaking status, video on/off). Data is delivered via webhooks for real-time integration into other systems like CRMs (Salesforce, HubSpot) or analytics dashboards.
5. Calendar Integration & Auto-Join: Allows bots to automatically discover and join scheduled meetings by syncing with Google Calendar and Microsoft Outlook. This enables fully autonomous agent workflows without manual meeting link intervention for each call.
6. Enterprise-Grade Security & Compliance Infrastructure: Built on SOC 2 Type 2 (under audit) and ISO 27001 compliant infrastructure. It ensures data privacy and security for enterprise clients by providing encrypted data streams, secure cloud deployment, and adherence to regulatory standards.

Problems Solved

1. Pain Point: The extreme technical complexity and maintenance burden of building direct, real-time integrations with multiple, proprietary video conferencing APIs (Zoom, Teams, Google Meet). Each has different protocols, authentication methods, rate limits, and SDKs.
2. Target Audience: SaaS Product Teams building AI-powered features (e.g., meeting assistants, sales intelligence platforms, coaching tools). CTOs & Engineering Leads at startups who need to ship meeting-integrated features quickly without a large backend team. Solo Developers & Hackathon Participants prototyping AI meeting applications. Enterprise DevOps & Security Teams requiring compliant, scalable infrastructure for internal meeting bots.
3. Use Cases: AI Sales Co-pilots that join sales calls, provide real-time talk-track suggestions, and push insights to CRM. Automated Meeting Note-Takers that generate summaries, action items, and shareable transcripts. Compliance & Training Bots that record and analyze customer service interactions. Accessibility Tools that provide live captioning and translation in meetings. Market Research Platforms that aggregate and analyze data from focus group sessions.

Unique Advantages

1. Differentiation: Unlike basic recording APIs or screen-capture tools, MeetStream AI provides direct, participant-level access to raw meeting media and data. Compared to building in-house, it offers a turnkey, multi-platform solution versus a fragile, single-platform integration that requires constant maintenance.
2. Key Innovation: Its agent-first infrastructure model. The product is built not just to capture meetings, but to enable an AI agent to participate actively. The combination of per-participant streams, accurate speaker labels from source data (not guesswork), and low-latency delivery is specifically engineered for real-time AI inference and interaction during the live call.

Frequently Asked Questions (FAQ)

1. How does MeetStream AI handle speaker identification compared to other transcription services? MeetStream AI does not rely on probabilistic AI diarization models alone. It captures separate audio tracks directly from the meeting platform (Zoom/Meet/Teams), allowing it to assign speaker labels with near-100% accuracy based on the platform's native data, eliminating guesswork during overlapping speech.
2. Can I use MeetStream AI to build a bot that speaks and interacts in a meeting? Yes, that is its core design purpose. The infrastructure provides the real-time audio streams to your AI model and a pathway to send audio back into the meeting, enabling your agent to listen, process, and speak as a full participant.
3. What is the latency for receiving real-time audio and video streams? MeetStream AI provides low-latency WebSocket streams, with latency typically around 200 milliseconds from the source in the meeting to your application, which is sufficient for real-time AI agent response and interaction.
4. Is my meeting data secure with MeetStream AI? Yes. The platform is built on enterprise-grade, compliant infrastructure. It is SOC 2 Type 2 (under audit) and ISO 27001 aligned, uses encryption for data in transit and at rest, and is designed for organizations with strict data privacy and security requirements.
5. How does pricing work for the MeetStream AI API? MeetStream AI operates on a usage-based credit system. They offer a free tier with $5 of credit to start, and pricing scales based on meeting minutes processed, the number of real-time streams, and features used like high-quality recording and transcriptions.