Kognitos is identified among vendors with a core focus on neurosymbolic AI in an April 2026 Gartner report, and is named a Sample Vendor for Context Graphs in the Gartner Hype Cycle™ for Agentic AI, 2026 — the second consecutive Hype Cycle in which Kognitos has been recognized.
SAN JOSE, Calif., May 26, 2026 — Today we’re sharing two pieces of independent analyst recognition that, together, say something about where enterprise AI is actually going — and the bet Kognitos made before it was obvious.
Kognitos has been recognized by Gartner, Inc. in two separate 2026 research publications:
You can read the full press release on GlobeNewswire. Here, we want to share what it means.
Most enterprise AI conversations in 2026 are converging on the same question: can we actually trust this thing in production? Pure neural systems are flexible but probabilistic; the same input doesn’t always produce the same output, and no one — including the model — can fully explain why a decision was made. That’s a non-starter for finance, healthcare, supply chain, and anywhere an auditor will eventually ask “show me the work.”
The two Gartner publications address two halves of that problem:
One is the runtime. The other is the memory. Together they describe what governable agentic AI looks like.
Neurosymbolic AI combines neural networks with symbolic AI to produce a hybrid approach offering greater reliability, explainability, and adaptability than conventional AI systems. According to Gartner, this combination enables AI solutions to bring together probabilistic models with logic-based techniques, giving AI systems improved reasoning and decision-making capacities. Gartner describes NSAI solutions as essential tools for a range of emerging enterprise priorities, specifically agentic AI, autonomous business, decision intelligence, and digital nervous systems.
The Gartner neurosymbolic AI report notes that agentic systems are subject to increased scrutiny due to ongoing concerns over core AI challenges and risks, and that NSAI solutions will be vital to organizations’ agentic AI journeys by providing stronger explainability, traceability, and rule-based decision-making constraints. The report positions NSAI as a key configurable AI guardrail designed to address concerns over data privacy, intellectual property, information integrity, and hallucinations.
Kognitos is identified among a focused set of vendors for which NSAI is a core product focus — with business process automation cited as its primary application. We didn’t add neurosymbolic AI as a feature. It’s the foundation the entire platform sits on.
In the Hype Cycle for Agentic AI, 2026, Gartner defines context graphs as evolving structures that connect data, states, actions, and goals into a single graph used for agentic AI. According to Gartner, context graphs extend knowledge graphs by capturing operational context, decision traces, governance metadata, and semantic meaning, while preserving temporal and causal links to show why decisions were made and how reasoning unfolded.
As organizations scale agentic AI across complex workflows, they require structured memory that connects people, systems, documents, policies, and events into a living map of relationships. According to Gartner, context graphs give AI agents the structured memory enterprises need, enabling agents to reason across workflows, enforce governance, surface hidden dependencies, and act with business awareness. Gartner further notes that this shared layer enables collaboration, smooth handoffs, and adaptation, making broad AI rollout easier while preserving compliance.
This isn’t a future roadmap item for Kognitos. It’s the substrate underneath every automation that runs on our platform today — the reason a Kognitos process knows that “the customer” in an email is the same entity as the row in NetSuite and the row in Salesforce, and why a policy change applied once is enforced everywhere.
“Enterprises do not have a shortage of AI capability. What they lack is AI they can trust to run the core of their business. Being included in Gartner research on both the architectural foundation of trustworthy AI and the graph-based memory structures that make agentic AI governable reflects the problem we set out to solve from day one. Every decision an AI agent makes needs to be traceable, explainable, and grounded in the organization’s own institutional knowledge. That is what context graphs make possible, and it is what Kognitos is built to deliver.”
Binny Gill, Founder and CEO, Kognitos
“The reason AI stalls at the edge of production is that probabilistic systems cannot guarantee that the same input produces the same output every time. Kognitos separates reasoning from execution. AI interprets intent and assists with design, but execution runs on a deterministic, symbolic runtime anchored to logic that humans have explicitly approved, in plain English they can read and audit. When you combine that with the graph-based context that connects decisions to the policies, people, and data behind them, you get AI that can be fully trusted because it acts accountably.”
Binny Gill, Founder and CEO, Kognitos
Three architectural choices in Kognitos line up directly with what these Gartner publications describe:
This is the second consecutive Gartner Hype Cycle in which Kognitos has been named a Sample Vendor, joining a growing set of analyst recognitions:
Six different analyst groups and award programs, evaluating six different questions, arriving at one consistent answer: governed, deterministic, neurosymbolic AI — grounded in a context graph of the enterprise’s own knowledge — is the category-defining approach to enterprise automation.
If you’re evaluating how to move AI from pilot to production without giving up control, we’d love to show you the platform Gartner research now identifies on both halves of that journey.
Book a Demo → Read the full press release →
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Source: Gartner, “Investing in Neurosymbolic AI? Know Which Vendors Meet Your Specific Demands,” Benjamin Arnberg, 2 April 2026. Gartner, “Hype Cycle for Agentic AI, 2026,” Rajesh Kandaswamy, Leinar Ramos, Gary Olliffe, Tom Coshow, Pieter den Hamer, Erick Brethenoux, 2 April 2026.
Kognitos automates business operations with the first neurosymbolic AI platform engineered for robust governance and tool consolidation. Uniquely turning tribal and system knowledge into documented, AI-refined automations using English as code, Kognitos creates a dynamic system of record for enhanced productivity and decision-making. Its unified platform supports hundreds of use cases, free from the risks of brittle bots or black-box AI. With a patented Process Refinement Engine, Kognitos delivers faster ROI, lower costs, and empowered teams. Headquartered in San Jose, California, Kognitos is backed by leading investors including Prosperity7 Ventures, Khosla Ventures and Wipro Ventures.
Media contact: pr@kognitos.com