# Kognitos Named in Two Independent Gartner® Research Reports on the Future of Trustworthy AI

> 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.

**Page**: https://www.kognitos.com/news/kognitos-named-2026-gartner-trustworthy-ai-research/
**Published**: May 26, 2026
**Press release**: https://www.globenewswire.com/news-release/2026/05/26/3301021/0/en/kognitos-included-in-two-independent-gartner-research-reports-on-the-future-of-trustworthy-ai.html

## TL;DR

On May 26, 2026, Kognitos was recognized in two independent Gartner® research publications:

1. Identified among vendors with a **core focus on neurosymbolic AI** in *“Investing in Neurosymbolic AI? Know Which Vendors Meet Your Specific Demands”* (Benjamin Arnberg, 2 April 2026).
2. Named a **Sample Vendor for Context Graphs** in the *Gartner Hype Cycle™ for Agentic AI, 2026* (Rajesh Kandaswamy, Leinar Ramos, Gary Olliffe, Tom Coshow, Pieter den Hamer, Erick Brethenoux, 2 April 2026).

This is the second consecutive Gartner Hype Cycle in which Kognitos has been named a Sample Vendor, having previously been recognized in the *Gartner Hype Cycle™ for AI in Finance, 2025*.

## Why two reports, and why now

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:

- **Neurosymbolic AI** — the architectural foundation that combines neural reasoning with symbolic logic to deliver explainability, traceability, and rule-based constraints.
- **Context Graphs** — the structured memory layer that connects people, systems, documents, policies, and events into a single, queryable model agents can actually reason over.

One is the runtime. The other is the memory. Together they describe what governable agentic AI looks like.

## On neurosymbolic AI

Per Gartner, 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.

## On Context Graphs

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.

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.

## From Binny Gill, Founder and CEO

> "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."

> "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."

## How this maps to the Kognitos platform

- **Reasoning and execution are separated.** AI interprets intent and assists with design. Execution runs on a deterministic, symbolic runtime anchored to logic that humans have explicitly approved — in plain English they can read and audit. Same input, same output, every time.
- **The platform reads and writes in English as Code.** The same plain-English procedure a CFO can review is what the runtime executes. There is no "developer language" underneath; the audit trail and the source code are the same artifact.
- **Institutional knowledge lives in a graph, not a prompt.** Customers, suppliers, documents, policies, and prior decisions are first-class entities that agents reason over. That’s what makes traceable reasoning paths and decision auditability possible at enterprise scale.

## The bigger picture

This is the second consecutive Gartner Hype Cycle in which Kognitos has been named a Sample Vendor, joining a growing set of analyst recognitions:

- **Sample Vendor**, Context Graphs — *Gartner Hype Cycle™ for Agentic AI, 2026*
- **Identified vendor**, "Investing in Neurosymbolic AI? Know Which Vendors Meet Your Specific Demands" (Gartner, April 2026)
- **Sample Vendor** — *Gartner Hype Cycle™ for AI in Finance, 2025*
- **Gold Winner & Best in Category**, Neuro-Symbolic AI Platform — 2026 Globee® Awards for AI
- **#1 Overall & Exemplary Provider** — 2026 ISG Buyers Guide for Automation and Orchestration
- **Most Innovative AI Product** — SiliconANGLE Media's 2026 Tech Innovation CUBEd Awards

## FAQs

**Q: Why was Kognitos named in two Gartner research reports in 2026?**

Kognitos was recognized for the two architectural foundations of trustworthy enterprise AI: neurosymbolic AI as the deterministic runtime, and context graphs as the structured memory layer for agentic AI. Kognitos is identified among vendors with a core focus on neurosymbolic AI in the April 2026 Gartner report and named a Sample Vendor for Context Graphs in the Gartner Hype Cycle™ for Agentic AI, 2026.

**Q: What is neurosymbolic AI, according to Gartner?**

Per Gartner, neurosymbolic AI combines neural networks with symbolic AI to produce a hybrid approach offering greater reliability, explainability, and adaptability than conventional AI systems. The combination brings together probabilistic models with logic-based techniques, giving AI systems improved reasoning and decision-making capacities. Gartner positions neurosymbolic AI solutions as essential tools for agentic AI, autonomous business, decision intelligence, and digital nervous systems.

**Q: What is a context graph, and why does it matter for agentic AI?**

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. Context graphs extend knowledge graphs by capturing operational context, decision traces, governance metadata, and semantic meaning, while preserving temporal and causal links — showing why decisions were made and how reasoning unfolded.

**Q: What does it mean to be a Sample Vendor in a Gartner Hype Cycle?**

A Sample Vendor in a Gartner Hype Cycle is a vendor Gartner identifies as offering products or capabilities representative of a specific innovation profile. Inclusion is illustrative rather than evaluative — Gartner does not endorse any vendor and does not advise selecting only those with the highest ratings.

**Q: Is this the first time Kognitos has been recognized by Gartner?**

No. Kognitos was previously named a Sample Vendor in the Gartner Hype Cycle™ for AI in Finance, 2025 (in the Hyperautomation in Finance category). The May 2026 announcement is the second consecutive Hype Cycle in which Kognitos has been named a Sample Vendor.

**Q: How does Kognitos implement neurosymbolic AI in production?**

Kognitos separates AI-assisted reasoning from live operational execution. Large language models interpret intent and assist with design, but execution runs on a deterministic, symbolic runtime anchored to logic that humans have explicitly approved — written in plain English they can read and audit. The audit trail and the source code are the same artifact.

**Q: Where can I read the official Gartner announcement?**

The full press release was published on GlobeNewswire on May 26, 2026: https://www.globenewswire.com/news-release/2026/05/26/3301021/0/en/kognitos-included-in-two-independent-gartner-research-reports-on-the-future-of-trustworthy-ai.html

## Gartner Disclaimer

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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.

## About Kognitos

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