Avoma builds AI software that records, transcribes and analyzes customer-facing meetings, then feeds insights into CRM and forecasting workflows. Its stack pairs Python, Django and Flask with TensorFlow, PyTorch, GPT and Gemini, while Slate, Video.js and D3.js map to active work on a collaborative note editor, video player and analytics dashboards. Hiring is engineering-led and senior-weighted across India and the US, though velocity is currently minimal.
Avoma, founded in 2017 and headquartered in Palo Alto, California, develops an AI meeting assistant combined with conversation intelligence and revenue intelligence. The product handles meeting scheduling, recording, transcription and AI-generated notes, syncs insights to CRM systems, and scores calls. Revenue features cover forecasting, pipeline reviews, deal health and win/loss analysis. It targets sales and customer success teams at startups and scaleups. The privately held company has 51–200 employees and hires in the United States and India.
Avoma uses Python, Django, Flask, React, Redux and Tailwind CSS on AWS, with TensorFlow, PyTorch, GPT and Gemini for AI, plus HubSpot, Intercom, Vitally, Amplitude and Mixpanel for go-to-market and analytics.
Avoma is headquartered in Palo Alto, California, and hires in both the United States and India.
Job posts point to a core data processing pipeline, search and analytics infrastructure, a design system, a collaborative note editor, video player enhancements and product analytics dashboards.
Other companies in the same industry, closest in size
Avoma's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.
