Key facts
- Plurai raised $13 million in seed funding led by Team8, with U&I, Velocity and Mercer participating.
- Plurai builds simulations from synthetic data based on a customer's own digital systems to prepare AI agents for edge cases.
- Co-founders Ilan Kadar and Elad Levi previously worked at Nexar, which develops autonomous driving technology.
- Kadar said Plurai's main promise is post-training small, open-weight models tailored to individual customers.
- Plurai said tests with Nvidia and Nebius showed its models outperforming mid-tier frontier models at lower cost.
Plurai, a startup co-founded by Ilan Kadar and Elad Levi, said on November 11, 2026 that it raised $13 million in seed funding led by Team8, with participation from U&I, Velocity and Mercer, TechCrunch reported.
The company builds simulations from synthetic data modeled on a customer's own digital systems, an approach its founders compare to the simulation work used to develop self-driving cars. Kadar and Levi previously worked at Nexar, which develops autonomous driving technology, and Kadar worked with Waymo to simulate and evaluate its end-to-end deep learning driving software.
Plurai creates a digital twin of a company's electronic systems, including the knowledge base and tools an agent will use in production, then maps the agent's possible flows and uses that graph to prepare the model with evaluations and fixes for edge cases. The platform works alongside existing agentic tools including Claude Code, Codex, Copilot and Cursor.
Kadar said the company's main promise is using the data it gathers to post-train small, open-weight models tailored to individual customers. Tests run with Nvidia and Nebius showed the company's models outperforming mid-tier frontier models at lower cost, according to the report.
Reah Miyara, a Google DeepMind researcher who backed Plurai as an angel investor, said the company's edge comes from understanding failure modes in production and generating synthetic data to tune models.
