Aaron Levie(@levie):A decent amount of agent adoption and deployment is bottlenecked by being able to test, tune, and optimize agents on “real” work environments. The files agents need to access, the CRM environments, email, and more. It’s impossible to know how agents are performing if you don’t understand how well they’re executing on your evals and how they’ll perform in the future with a model change or workflow upgrade. Every enterprise has to do this 1 by 1 right now, which is obviously slow and tedious. Every enterprise is going to have someone managing evals, infrastructure for building and running evals and simulated environments, and more. Huge space.

2026.10.06 01:35

A decent amount of agent adoption and deployment is bottlenecked by being able to test, tune, and optimize agents on “real” work environments. The files agents need to access, the CRM environments, email, and more. It’s impossible to know how agents are performing if you don’t understand how well they’re executing on your evals and how they’ll perform in the future with a model change or workflow upgrade. Every enterprise has to do this 1 by 1 right now, which is obviously slow and tedious. Every enterprise is going to have someone managing evals, infrastructure for building and running evals and simulated environments, and more. Huge space.

Ofir Ehrlich@OfirEhrlich

2026.10.05 15:01

You can’t safely test an enterprise agent on a real company’s data. So we built a company for it to work in. Era is live today, and it’s free. It generates a complete simulated enterprise that behaves like a real one across Salesforce, Slack, Jira, Zendesk, Gong, Deel and more, along with cloud databases and storage. Agents interact with it through live MCP and API interfaces. People leave. Deals change. Records get duplicated. Permissions differ across systems. And because Era generated the company, it knows the exact ground truth. Test, benchmark and improve agents against realistic enterprise workloads, use the failures for targeted post-training, then rerun the same environment to measure the impact. Huge thanks to our research partners @NVIDIA, @Decart, @Composio, @openlayerco, @Deel, @Eragon and @Plurai, with more coming soon.