Deeptune
Builds simulated workplaces where AI agents learn real-world tasks via reinforcement learning.
- Founded
- 2022
- Headquarters
- New York, NY
- Latest Round
- Series A
- Est. Valuation
- ~$200M
Investment Thesis
Deeptune creates high-fidelity RL environments that simulate day-to-day workflows of roles like accountants, support reps, and DevOps engineers. These virtual workplaces train AI agents on multi-step tasks across tools like Slack and Salesforce.
Raised $43M Series A led by a16z with angels including OpenAI researcher Noam Brown.
AI models can't learn real-world business tasks because there aren't good environments to practice in — you can't let an untrained agent loose on live Salesforce or production accounting systems.
High-fidelity simulated workplaces where AI agents practice multi-step tasks like customer support, accounting, and DevOps using real tools like Slack and Salesforce before deployment.
The next decade of AI progress will be driven by better training environments and reinforcement learning, not just bigger datasets — agents need gyms the way self-driving cars needed simulation.
Improving benchmarks across leading AI research labs, $46M raised including a $43M Series A led by a16z, with angel investors including OpenAI researcher Noam Brown.
Tim Lupo (CEO) has close relationships with top AI labs and built Deeptune on the conviction that simulated environments are the bottleneck holding back the entire AI agent ecosystem.