Video Conferencing Platform

Part of the worlds-biggest-software-project initiative.

An AI-native, WebRTC-based video conferencing platform with built-in recording, transcription, and meeting summaries.

A browser-first video conferencing platform built on open WebRTC standards, designed for teams who want first-class AI meeting intelligence without being locked into a single productivity suite. Targets developers embedding video into their products, as well as organisations seeking an open alternative to Zoom, Teams, Meet, and Webex.

Why Video Conferencing Platform?

The market is dominated by proprietary SaaS: Zoom holds 55.9% share, Teams 32.3%, Webex 7.6%, and Meet 5.5%, leaving no credible open-source, AI-native alternative.
Enterprise pricing runs USD 14–20+/user/month, and the most useful AI features (summaries, transcription, translation) are gated behind higher-tier plans.
Incumbents tie their best features to their own ecosystems (Teams to Microsoft 365, Meet to Google Workspace), making cross-platform adoption painful.
Developer-focused infrastructure (Daily.co, Agora, Whereby) is powerful but requires significant build effort and offers limited out-of-the-box AI or end-user features.
AI is shifting from post-call processing to real-time in-call intelligence — an area where every incumbent is still iterating, leaving room for an open challenger.

Key Features

Real-Time Meetings

HD video and audio over WebRTC with automatic quality adaptation
Screen sharing with annotation tools
Virtual backgrounds and blur options
Breakout rooms for small-group discussions
In-meeting chat and file sharing
Participant roster with presence indicators

Recording, Transcription, and Captions

Cloud and local recording with searchable transcripts
Live captions in English at MVP, with multi-language support on the roadmap
AI-powered transcription with speaker diarisation
Searchable archive of past meetings within a workspace

AI Meeting Intelligence

Auto-generated meeting summaries and decision logs distributed at meeting end
Automated action-item extraction with assignment to named participants
AI noise suppression and audio enhancement
In-call AI coach prompting on active listening, question quality, and agenda adherence

Scheduling and Access Control

Calendar integration with Google, Outlook, and iCal
Meeting series and recurring scheduling
Passwords, waiting rooms, and host controls
SSO and 2FA on the roadmap

Developer and Integration Surface

WebRTC-based stack with REST APIs and webhooks
Mobile-responsive web client; mobile apps planned
Integrations with Slack, Jira, Salesforce, and project management tools for action-item sync

AI-Native Advantage

The platform treats AI as a first-class meeting participant rather than a paid add-on. Real-time transcription with reliable speaker diarisation, automated action-item extraction with sync to project management tools, and an in-call coach for meeting quality are all baseline capabilities. Combined with a searchable knowledge base across every recorded meeting, the platform turns conversations into queryable organisational memory.

Tech Stack & Deployment

Built on open standards: WebRTC for media, SIP/SDP for signalling, SRTP and DTLS for encryption. Browser-first delivery removes the need for a heavy desktop client. Self-hosted and cloud deployment modes are both expected, with on-premises options on the roadmap for compliance-sensitive workloads. Accessibility aligns with WCAG 2.2 and Section 508.

Market Context

The global video conferencing market is projected to reach USD 12 billion in 2026 at an ~11.8% CAGR, with the broader WebRTC market reaching USD 10.89 billion. Incumbent enterprise pricing runs USD 14–20+/user/month, and infrastructure providers charge USD 0.0001–0.001 per participant-minute. Primary buyers are IT administrators standardising enterprise video, developers embedding video into SaaS, and HIPAA-bound healthcare and education providers.

Project Status

This project is in the research and specification phase.
Contributions, feedback, and domain expertise are welcome.

Contributing

We welcome contributions from developers, domain experts, and potential users. See CONTRIBUTING.md for guidelines.

Important: All contributions must be your own original work or clearly attributed open-source material with a compatible licence. Copyright infringement and licence violations will not be tolerated and will result in immediate removal of the offending contribution. If you are unsure whether a piece of code, text, or other material is safe to contribute, open an issue and ask before submitting.

Licence

Licence to be determined. See discussion for context.