The Boston Examiner
SEE OTHER BRANDS

The most trusted news from Massachusetts

HMX Launches Groundbreaking Cognitive AI Agents to Solve AI's Black Box Problem

New Agent Builder Merges Human Expertise and Transparent AI for Mission-Critical Decisions

BOSTON, MA, UNITED STATES, August 13, 2025 /EINPresswire.com/ -- HMX Corporation, a pioneering leader in explainable artificial intelligence (XAI), today announced the launch of HMX Cognitive Agents, a new class of intelligent agents designed for high-stakes enterprise environments. Built on the CRex™ Cognitive Reasoning Engine, these agents offer transparent decision-making, consistent reliability, and human-like reasoning—breaking through the limitations of traditional AI agents.

The launch comes as the global AI agent market is projected to reach $7.63 billion in 2025, with industry leaders declaring "2025 is going to be the year of the agent." However, current AI agents built on Large Language Models (LLMs) face significant barriers to enterprise adoption, particularly in mission-critical applications where failure is not an option.

REVOLUTIONARY COGNITIVE AGENT BUILDER TRANSFORMS AI APPLICATIONS
HMX is announcing the industry's first Cognitive Agent Builder (CAB), an innovative tool that leverages LLM capabilities by augmenting human expertise while maintaining complete transparency and explainability. Unlike conventional AI agents that operate as "black boxes," HMX Cognitive Agents are built on its proprietary goal-directed situational cognitive model.

Industry thought leaders are heralding the rapid evolution of LLMs to reasoning systems as an AI revolution rewriting the rules of competitive advantage. This transformation is exactly what HMX Cognitive Agents deliver – moving beyond trained pattern recognition to supercharged human-like reasoning with transparency, explainability, and orchestrated decisions.

TRANSFORMATIONAL BENEFITS FOR MISSION-CRITICAL APPLICATIONS
“Our Cognitive Agents are leading the agentic revolution with innovative capabilities, delivering results in tough mission-critical deployments,” says Kim Mayyasi, CEO. He explained, “our Cognitive Agents form synergistic partnerships between human experts and reasoning technology to accelerate enterprise IP. For example, a foreign government saw a 7% increase per annum in tax revenue growth using HMX Cognitive Agents to capture and enhance auditor knowledge and experience.”

Mike Barnett, Founder and CTO, explains that HMX Cognitive Agents used in industrial use cases orchestrate decisions across multiple sources including other agents in a mesh. “Our industrial agent was able to diagnose and resolve oil production problems in hours rather than days by integrating a world-renowned expert’s knowledge with HMX causal and third-party models coordinated by our CRex orchestrator.” As another example, “our agent was able to identify $2M in problematic foreign exchange currency trades in a single day at a medium-sized FOREX broker. Natural language explainability was critical to understand what was happening in real-time.”

HMX Corporation has pioneered the explainable AI movement for the past seven years, with successful deployments in government, financial, and industrial organizations. The company's approach has earned recognition from leading experts. With the agentic AI market estimated to reach USD 196.6 billion by 2034, HMX's unique positioning in cognitive AI addresses the most pressing challenges limiting enterprise agent adoption.

About HMX Corporation
Founded in 2009, HMX Corporation is the pioneering leader in explainable artificial intelligence for mission-critical applications. The company's proprietary CRex™ platform has deployed cognitive agents across government, financial, and industrial organizations, delivering superior operational and financial performance through transparent cognitive reasoning.

Media Contact: Kim Mayyasi, CEO | HMX Corporation | Email: kmayyasi@HMX.ai

Kim Mayyasi
HMX Corporation
kmayyasi@hmx.ai

Legal Disclaimer:

EIN Presswire provides this news content "as is" without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.

Share us

on your social networks:
AGPs

Get the latest news on this topic.

SIGN UP FOR FREE TODAY

No Thanks

By signing to this email alert, you
agree to our Terms & Conditions