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.

AUI raised $20 million in a bridge SAFE round at a $750 million valuation cap, bringing total funding to nearly $60 million for Apollo-1, its neuro-symbolic foundation model designed to address enterprise AI’s reliability bottlenecks where deterministic execution matters more than creative fluency.

The round, completed in under a week with participation from eGateway Ventures, New Era Capital Partners, and strategic investors, signals growing investor confidence in post-transformer architectures as enterprises demand predictable, auditable AI behavior over the probabilistic outputs that characterize today’s LLMs.