Plurai Aims to Improve AI Agents with Simulation Technology
Plurai, a startup founded by Ilan Kadar and Elad Levi, has raised $13 million in seed funding to develop simulation technology that improves the reliability of AI agents. The company's approach is inspired by the techniques used to develop self-driving cars.
🤖AI ModelsPhoto: TechCrunch AI
Key points
- Plurai raises $13 million in seed funding
- Simulation technology inspired by self-driving cars
- AI agents currently not reliable enough for widespread use
A new startup, Plurai, is working to enhance the capabilities of AI agents using simulation technology. This approach has already proven successful in the development of self-driving cars, and Plurai's founders believe it can be applied to AI agents as well.
Background
AI agents are currently not reliable enough to function without close supervision, with tests showing that even top-performing models like Claude Fable 5.2 and ChatGPT-6 Astra succeed in only around 80% of tasks. Plurai's technology creates a digital twin of a company's electronic systems, allowing it to simulate and evaluate AI agents in a more realistic environment.
The company's platform works alongside existing tools like Claude Code and Codex, and its approach has shown promise in tests performed with Nvidia and Nebius. Plurai's models have outperformed mid-tier frontier models at lower costs, making them a potentially attractive option for businesses looking to optimize their AI expenses.
Source TechCrunch AI — techcrunch.com/2026/11/11/plurai-wants-to-help-ai-agents-work-better-us… ↗
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