Plurai raises $13 million to simulate and tune AI agents
Original title: Plurai wants to help AI agents work better using the same approach that helped get self-driving cars to roads
The seed round, led by Team8, funds digital twins that post-train small open-weight models for customer workflows.
Startup Plurai said on Wednesday it raised $13 million in seed funding to build simulation environments that prepare AI agents for edge cases using synthetic data from a company’s own systems. Team8 led the round, with U&I, Velocity, and Mercer participating. Co-founders Ilan Kadar and Elad Levi previously worked at Nexar. Plurai says tests with Nvidia and Nebius showed its tailored open-weight models beating mid-tier frontier models at lower cost.
Unconfirmed: Performance and cost claims come from Plurai and its co-founder, not an independent evaluation.
- The platform works alongside Claude Code, Codex, Copilot, and Cursor.
- Cited benchmarks include LiveBench 2.0 and an EON corporate simulation.
- Google DeepMind researcher Reah Miyara invested as an angel.
- Plurai builds a digital twin of knowledge bases and agent tools.
From the original article
3 min read at techcrunch.com
Like the end-to-end models trained to drive cars, AI agents are probabilistic systems operating in unpredictable environments.
By Tim Fernholz · techcrunch.com
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