Deeptune, a New York City–based developer of high-fidelity simulation environments for AI agents, has raised $43 million in a Series A funding round led by Andreessen Horowitz, with participation from 776, Abstract Ventures, Inspired Capital, and a group of prominent angel investors.
The company is focused on building simulation infrastructure that enables AI agents to train and operate in realistic digital environments. Its platform is designed to help transform raw model capability into reliable real-world performance by allowing agents to practice complex tasks through reinforcement learning.
Deeptune’s approach centers on creating “sandbox” environments that replicate real-world workflows, such as managing financial operations or handling inboxes. These environments allow AI systems to gain experience safely and iteratively, with the broader goal of bridging the gap between intelligence and execution in artificial intelligence systems.
The company plans to use the new funding to expand its engineering and operations teams and accelerate development of its simulation platform.
Deeptune was founded by a team with prior experience at Anthropic, Scale AI, Palantir, and Glean, and is positioning itself to play a key role in enabling more capable and reliable AI agents.
KEY QUOTE:
“Excited to announce Deeptune has raised $43M Series A led by Andreessen Horowitz. Labs and enterprises must turn model capability into real-world performance. Doing so will require distilling the entire economy into environments for AI. We believe this to be the most critical work in the pursuit of AGI. We’re a small, focused team of engineers and operators in New York. If you want to work on the hardest (and weirdest) problems of your career, we would love to hear from you.”
Tim Lupo, Founder And CEO Of Deeptune
