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Kognitos secures $25 million in Series B funding to expand its neurosymbolic AI platform, which automates complex business operations using English as code. The platform integrates symbolic logic with machine learning to ensure accuracy, auditability, and process transparency. It is already in use across major industries, offering faster deployment and reduced maintenance compared to traditional automation tools.
Why Enterprises Turn to Kognitos for Smarter Automation
Kognitos, based in San Jose, California, develops AI automation tools tailored for enterprise back-office operations. The company introduces a neurosymbolic AI platform that merges symbolic logic reasoning with modern machine learning. This approach enables organizations to move beyond traditional RPA tools and automate complex business workflows with increased accuracy and efficiency.
The platform allows users to write automation logic using English, reducing the need for low-code platforms or technical interfaces. It helps translate both tribal and system knowledge into automated, documented workflows. Kognitos aims to create a dynamic system of record that evolves with operational needs, enhancing governance and transparency.
Inside Kognitos’ $25M Series B Funding Round
Kognitos announced a $25 million Series B funding round on June 24, 2025. Prosperity7 Ventures led the investment, with participation from Khosla Ventures, Wipro Ventures, Engineering Capital, Dentsu Ventures, and Alumni Ventures. The capital is intended to support platform development, expansion into verticals such as banking and healthcare, and broader market reach.
Abhishek Shukla of Prosperity7 Ventures described the platform as a “genuine breakthrough,” citing the need for reliable automation solutions that avoid common AI failures like hallucinations.
How Kognitos Combines Symbolic Logic and Machine Learning
The neurosymbolic AI architecture at the core of the Kognitos platform combines deterministic symbolic logic with the adaptive capabilities of modern AI. This integration ensures that automation processes adhere strictly to expected outcomes, minimizing deviations and errors.
By eliminating black-box behaviors and reducing reliance on probabilistic outputs, the system supports enterprise requirements for predictability and compliance. Each automated action can be explained and traced, aligning with governance and audit requirements.
English as Code: Automating Without the Complexity
Kognitos allows users to build automations using plain English, eliminating the learning curve typically associated with low-code or programming-based solutions. This model shortens the automation lifecycle by enabling business users to define, test, and update workflows directly.
The Process Refinement Engine continuously learns from human inputs, updating the automation logic to reflect evolving processes. Every exception or deviation encountered during automation can trigger human feedback, which the engine then uses for process improvement.
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Key Features That Set the Platform Apart
Kognitos incorporates several features that distinguish it from traditional automation solutions:
- Unified platform capable of automating hundreds of diverse use cases across functions like HR, finance, and operations
- Support for structured and unstructured data, including documents, emails, voicemails, and images
- Community Edition allowing users to automate in under five minutes using English, with no drag-and-drop tools
- Hundreds of pre-built workflows ready for immediate deployment or customization
- Advanced document and Excel processing directly built into the AI platform
- Automatic agent regression testing that speeds up process updates while maintaining reliability
- Browser-based automation supporting legacy systems without API dependencies
The company focuses on eliminating tool sprawl, helping organizations consolidate multiple AI pilots and bots under a single, maintainable system.
Delivering ROI with Explainable, Hallucination-Free AI
Clients using the Kognitos platform report measurable returns. Boost Mobile noted that the solution consistently delivers a 23x return on investment. The platform’s AI agents do not hallucinate, which significantly reduces risk and maintenance overhead.
Each automated process is documented and traceable, creating an auditable history of business logic. This design supports strong AI governance by allowing real-time monitoring and human-guided intervention when needed.
What This Means for the Future of Enterprise AI Automation
Kognitos continues to expand across industries such as manufacturing, retail, telecommunications, and logistics. The new funding supports deeper penetration into regulated sectors like finance and healthcare.
The platform’s focus on dynamic, explainable automation offers an alternative to brittle bots and unstructured AI tools. By combining symbolic and machine learning techniques and using English as the core interface, Kognitos delivers scalable, maintainable automation that aligns with enterprise needs.
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