Simular raised $21.5 million in Series A funding from Felicis to scale desktop AI agents that control entire Mac and Windows computers directly—solving the hallucination problem that has kept enterprise AI automation confined to simple browser tasks.

The fundamental constraint limiting AI agent enterprise adoption isn’t capability but reliability. Current large language models hallucinate unpredictably, and when agents execute thousands of desktop steps, even small errors cascade into complete workflow failures. Simular’s breakthrough addresses this through “neuro symbolic computer use agents” that let AI explore freely, then lock successful workflows into deterministic code.