Current product
watasu
watasu gives services an agent-readable intake endpoint, so a user's AI agent can understand what information is needed, prepare it from approved personal context, and submit it with consent.
Read the docsAI-native product company
Building the handoff layer for personal AI agents.
Nexepia is currently building watasu, an agent-native data handoff layer that lets personal AI agents and services exchange user-approved context.
Context
User-approved personal context
watasu
Readable contract and consented handoff
Service
Agent-native intake endpoint
Personal agents and services, connected with consent
What we build
Agent-native infrastructure for personal context handoff.
User-side context
People should be able to let their own agents reuse approved profile, preference, and history data without starting from a blank form each time.
Service-side contracts
Services need a clear machine-readable way to say what data they need, why they need it, and where an authorized agent can submit it.
Human control
The handoff should keep people in charge of consent and context, while letting agents handle the repetitive work of preparing and delivering data.
Founder
Founded by Sota Kobayashi.
Sota Kobayashi is a software engineer with a B.A. in Computer Science from UC Berkeley. Before Nexepia, he worked as a software engineer at an AI startup in Silicon Valley and later at Woven by Toyota.
His background spans applied AI, production software engineering, and mobility technology across Silicon Valley and Japan.
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