Mahdar AI - Meeting Intelligence Platform
Enterprise meeting intelligence platform with real-time transcription, RAG-based search, and AI-driven insights, deployed on-premises for government and enterprise clients in Saudi Arabia.
Contributed to Mahdar AI, an enterprise-grade meeting intelligence platform designed for secure, on-premises deployment in government and high-security enterprise environments. The platform provides real-time, speaker-aware transcription across multiple meeting platforms, combined with powerful RAG-based search capabilities enabling users to query past meetings and retrieve context-aware answers. Built with security, scalability, and data sovereignty as core requirements, the system runs entirely air-gapped in client infrastructure including Saudi government Ministry-level deployments.
Pattern:
Kubernetes-native microservices with event-driven processing
Data Flow:
Meeting Audio → Transcription → Speaker ID → Storage → Indexing (Text + Vector) → Search/Analysis- Real-time speaker-aware transcription
- Multi-platform meeting integration
- RAG-based semantic search over meetings
- Context-aware query answering
- Automated meeting summaries
- Action item extraction
- Smart tagging and categorization
- Multi-workspace architecture
Impact:
- Enabled government entities to leverage AI meeting intelligence with data sovereignty
- Deployed at Saudi Ministry-level environments with highest security clearance
- Processed 5000+ daily meetings with real-time transcription
- Provided searchable knowledge base from organizational meetings
- Reduced meeting follow-up time by 50% through automated summaries
Key Achievements:
- Successfully deployed in air-gapped government environments
- Achieved sub-200ms real-time transcription latency
- Built scalable RAG search over large-scale meeting data
- Designed multi-workspace architecture for complete data isolation
- Contributed to Ministry-level government deployments in Saudi Arabia
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