Discover what agents can do.
Safely advance their capabilities.

Agents are eating the world, reshaping how we work and live. Their capabilities are expanding, and we’re only scratching the surface of what they can do and how they might behave.

Yet evaluating agents remains difficult. Benchmarks can saturate, environments require ongoing maintenance, and aggregate scores can obscure important capabilities and failure modes. Teams need realistic tasks, reliable environments, and fast, reproducible feedback to keep pace with agents’ evolving capabilities. Progress on these challenges requires a shared effort, with valuable contributions from both within and beyond frontier labs.

At Serawake, we aim to contribute to the broader AI transformation through independent research and products that help teams understand and improve agent behavior, with safety at the core. We’re developing methods for verifying execution boundaries, creating high-quality, domain-specific evaluation data and environments, and building a fast, independent evaluation suite. Our tools combine efficient local and cloud execution with traceable evidence to help teams discover capabilities, diagnose failures, and advance agents safely.

Drawing on firsthand experience at AI companies and research labs, including Apple, coding-agent startup, OpenAI, and Salesforce AI Research, we bring practical insight and a passion for helping shape a future in which the benefits of AI agents are widely accessible.