Kognitos is an enterprise automation company built around a neurosymbolic architecture: it marries the natural-language understanding of large language models with the determinism and auditability of symbolic logic. The company's signature idea is English as code, where business users describe and adjust processes in plain language and Kognitos translates that into reliable, governed execution. This is meant to solve a central enterprise fear about agentic AI, that autonomous systems will hallucinate or take unpredictable actions on critical operations.
Founded by Binny Gill, a veteran engineer, and headquartered in San Jose, California, Kognitos targets operations-heavy industries including manufacturing, consumer packaged goods, retail, logistics, and telecommunications. In these environments, automation must handle exceptions and complex business rules while remaining fully traceable for compliance and audit. Kognitos positions its neurosymbolic engine as uniquely suited to that combination, reasoning over rules symbolically while using language models to interpret intent and unstructured inputs.
In June 2025 Kognitos announced a $25M Series B led by Prosperity7 Ventures, with participation from Khosla Ventures, Wipro Ventures, Engineering Capital, Dentsu Ventures, and Alumni Ventures, bringing total funding to roughly $51M across its rounds. The raise coincided with the launch of its neurosymbolic platform emphasizing no hallucinations and full governance, a message tuned to risk-conscious enterprise buyers.
Kognitos automates a wide range of operational processes, from order and invoice handling to supply-chain and back-office tasks, by capturing the business logic in human-readable form. Because the platform records what it does and why, teams can review, debug, and modify automations without specialized engineering, and auditors can verify behavior after the fact.
The company competes with both legacy RPA vendors and a new wave of agentic automation startups. Its differentiation rests on the neurosymbolic foundation: the claim that combining symbolic determinism with AI flexibility yields automation that is both adaptable and trustworthy enough for mission-critical enterprise operations.