Axiom

Empowering enterprises to track monetary impact and productivity loss in video conferencing.

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Inspiration

Teams spend a large portion of their time in meetings, yet organizations rarely understand what those meetings actually cost or whether they generate value. Calendars track time, video tools capture conversations, but neither translates meetings into economic impact. We built Axiom to treat meetings as a measurable business activity by quantifying their financial cost and productivity impact using the meeting's transcript.

What it does

Axiom is an enterprise analytics platform that calculates the true cost of meetings by combining attendee time, labor rates, and meeting outcomes. It aggregates total meeting minutes across an organization, estimates wasted cost from inefficiencies like interruptions and over-attendance, assigns follow-up work, and computes net productivity impact, which can be positive or negative, all surfaced through a clean executive dashboard.

How we built it

We built Axiom as a full-stack web application using Next.js for the frontend and FastAPI for the backend. UniBee powers real subscription billing. For demo reliability, we use a deterministic meeting transcript that flows through the same analytics pipeline as a live system. Originally we intended on creating a software where Axiom users can create or join meetings. In those meetings the Axiom agent would join the call and listen to the conversation using Whisper Flow. At the end of the meeting, the transcript would be compiled and read again by the Axiom agent, and all the data metrics would be generated form the transcripts. However, due to time constraints, we simplified the implementations by taking data from mock transcripts where the user can upload the transcripts from their virtual meetings and the same processes will be run.

Challenges we ran into

The main challenge was balancing ambition with reliability in a 24-hour hackathon. Real-time meeting agents and live transcription introduce significant risk, so we focused on delivering a stable, defensible system that clearly demonstrates value. Defining productivity in a conservative, credible way was also challenging, requiring careful modeling rather than overstated claims.

Accomplishments that we're proud of

We delivered an end-to-end enterprise product with real billing, analytics, and a polished executive UI. The platform integrates sponsor technologies into core functionality, presents defensible cost metrics, and remains demo-safe and production-oriented under extreme time constraints.

What we learned

We learned that enterprise tools are judged on clarity, trust, and restraint more than raw feature count. Measuring productivity requires conservative assumptions, and a smaller, reliable system communicates value far better than an unstable but overambitious one.

What's next for Axiom

Next steps include live meeting ingestion, real-time transcription with speaker labeling, historical benchmarking, deeper calendar and conferencing integrations, and advanced optimization insights to help organizations actively reduce meeting waste.

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