Plato
Plato provides cloud-hosted, high-fidelity simulations of real workplace software—like Excel, Gmail, and Salesforce—so developers can train and evaluate autonomous browser agents in realistic, reproducible environments. The platform includes a Python SDK for programmatic control and publishes benchmarks like Computer Work Val v1.0, a validation set of 300 tasks drawn from professionals earning over $100k a year.
- Developer Tools
- Artificial Intelligence
- Software Only
- AI Agents
Funding
Raised to date
$19MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 2 rounds
MS$3M · Seed
Announced Oct 2026 · from article date
Disclosed cumulative: $19M
Founders
Founder details are not available yet.
Product
Problem
Developing autonomous browser agents requires testing against real-world web pages, but setting up and maintaining realistic browser environments is time-consuming and often leads to flaky results due to variability in browsers, network conditions, and page states.
Solution
Plato provides cloud-hosted training environments that emulate full web browsers, allowing developers to run and evaluate autonomous agents in consistent, reproducible settings. The platform exposes a Python SDK that grants programmatic access to browser state, user actions, and DOM mutations, enabling precise control over agent behavior. By abstracting away infrastructure setup, Plato accelerates iteration cycles and simplifies validation of automation scripts before deployment to production browsers. The company also publishes research benchmarks, such as Computer Work Val v1.0, an environment data stream and validation set of 300 worlds drawn from the real work of people earning over $100k a year, to support agent evaluation.
Target Audience
Plato is aimed at developers and engineering teams building autonomous web agents, browser automation tools, and AI-driven testing frameworks who need reliable, scalable environments for development and validation.
Features
- Cloud-based, fully functional browser instances that mirror real user environments
- Python SDK with APIs for querying page state, performing actions, and tracking DOM changes
- Isolated, repeatable sessions ensuring deterministic test outcomes across runs
- Scalable infrastructure that supports concurrent training of multiple agents
- Integrated API key authentication for secure access to environments
- Publishes open research benchmarks, including Web Clone Bench, which measures models' ability to understand and re-create web apps
- Environments run on 210 simulated apps, from Gmail and Excel to open-source ERPs, health records and helpdesks
- Verifiers grade agent work by checking the end state left in the sims, with pass/fail criteria per task