The AI adoption story is broken
Companies spend billions on AI tools and track adoption with dashboards. But dashboards show usage, not understanding. When an engineer stops using their AI tools, a chart goes down — but nobody knows why. We built Tap to fix that.
The gap between “we deployed AI tools” and “we understand how they're landing” is massive. Telemetry tells you what happened. Surveys tell you what people are willing to check in a box. Neither tells you the truth.
Tap uses AI-driven conversations to bridge that gap. We connect your telemetry data with personalized, adaptive conversations that meet engineers where they are — and surface the insights that drive real change.
AI conversations that adapt in real time
Tap's conversation engine uses Claude AI to conduct personalized, adaptive conversations. It asks follow-up questions based on what engineers actually say — not from a fixed script. Combined with telemetry integration, every conversation starts with context about how tools are actually being used.
- Claude-powered adaptive conversations
- API and telemetry integrations
- Real-time sentiment and theme analysis
Built for engineers, designed for leaders
Engineers get frictionless 3-5 minute conversations — no logins, no forms. Leaders get executive-ready insights with sentiment analysis, theme extraction, and actionable summaries. The same data serves both audiences because the signal is that good.
- Zero-friction engineer experience
- Executive-ready reporting
- Data that serves both audiences
Enterprise teams navigating AI adoption
Tap works with engineering organizations that have deployed AI tools at scale and need to understand what's actually working. Our customers use Tap to move beyond dashboard metrics and get the real story from the people using the tools every day.
- Enterprise engineering organizations
- AI tool adoption at scale
- From metrics to understanding
Enterprise software meets AI innovation
Tap was founded by a team with deep roots in enterprise software, full-stack engineering, and B2B go-to-market. We've seen the gap between tool investment and tool understanding firsthand — and we built Tap to close it. We're a small, focused team based in the U.S., moving fast and shipping weekly.
- Enterprise software background
- Full-stack AI engineering
- B2B SaaS go-to-market experience
What We Believe
Conversations over surveys
A 3-minute conversation reveals more than a 30-question survey. People share honestly when they feel heard, not when they're checking boxes.
Context over counts
Knowing 74% of organizations struggle to scale AI is a data point. Knowing why is an insight. We help you get from one to the other.
Engineers are people
Behind every usage metric is a person with opinions, frustrations, and ideas. Tap treats engineer feedback as the valuable signal it is.