-The Problem Traditional AI meeting tools either dump walls of text hours after a call ends, or force speakers to disrupt conversations with awkward wake words. Furthermore, conventional dashboards only display surface-level totals, lacking the rigor to validate whether observed differences are statistically significant or merely random noise. - The Solution: CoChair.ai CoChair.ai is an autonomous Executive Intelligence HUD that bridges conversational dialogue with relational data intelligence in real time. Operating completely hands-free without wake words, it monitors speech context, suppresses casual chatter, and instantly generates verified visualizations and statistical hypotheses on screen as questions occur. -Key Innovations -Ambient Meeting Mode: Runs silently in the background. A sub-180ms Gatekeeper filter identifies casual small talk and prevents false triggers, while an Echo-Loop Guard ensures reading on-screen metrics never causes infinite feedback loops. - Interactive Normal Mode: A desk-based executive analyst mode for active drill-downs, comparative queries, and immediate data exploration via voice. - Inferential Decision Engine: Goes beyond descriptive charts by executing parametric hypothesis tests (two-sample t-tests and ANOVA) via SciPy. It computes degrees of freedom and p-values to deliver clear, plain-English verdicts on pricing and performance variations. - Predictive Feasibility: Evaluates ambitious strategic benchmarks against historical transaction velocity to assess probability and volume gaps. -Technical Stack - Acoustic Streamin: AssemblyAI Universal-3.5 via real-time 16kHz WebSockets. - Reasoning Backbone: DeepSeek on Fireworks AI for low-latency text-to-SQL generation and tool dispatch. - Analytics & Data Core: SQLite relational database with Python (SciPy) computation. - Executive HUD: Dark-slate React interface featuring dynamic Plotly visualizations.
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