Flagship work, each with architecture, a demo slot, and real outcomes.
Dependency-aware AI code review that posts context-rich feedback directly on GitHub pull requests.
Syntax-aware speculative decoding that speeds up LLM code generation while enforcing syntactic correctness.
Distributed task orchestration engine for reliably executing long-running jobs across isolated worker nodes.
Cross-platform AI meeting assistant with real-time transcription, speaker diarization, and summarization.
AI-powered expense splitting that parses receipts automatically to remove friction from shared bills.
End-to-end MLOps platform forecasting match outcomes with multi-source data fusion and explainable AI.