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XMPro MAGS 1 5 Enhances Industrial AI with Trust Architecture and Cross Domain Collaboration

May 5, 2025•XMPro•Original Link•2 minutes
IndustrialAI
AgenticAI
TrustArchitecture

XMPro MAGS 1 5 introduces advanced trust architecture for industrial AI featuring evidence based confidence scoring multi method consensus decision making and seamless integration with Model Context Protocol MCP and Agent to Agent A2A communication

DALLAS, May 05, 2025 — XMPro has unveiled Multi-Agent Generative System (MAGS) version 1.5, a significant update designed to enhance trust, security, and collaboration in industrial AI deployments. The release introduces four key advancements:

  1. Evidence-Based Confidence Scoring: Evaluates agent decisions across five dimensions (evidence strength, consistency, reasoning quality, uncertainty quantification, and stability) to produce actionable confidence levels.
  2. Multi-Method Consensus Decision-Making: Combines collaborative iteration, intelligent conflict detection, and expertise weighting to improve group decision quality.
  3. Agent-to-Agent (A2A) Protocol: Implements Google's standardized communication framework enabling cross-vendor AI collaboration while maintaining industrial trust requirements.
  4. Model Context Protocol (MCP) Integration: Incorporates Anthropic's standard for AI-to-data interactions, functioning as a "translator" for contextual industrial data.

Key Features

  • A2A Implementation: Uses a layered approach with DataStream Connectors, Protocol Bridges, and Agent Card Capabilities to maintain XMPro's visual design philosophy while enabling cross-domain communication.
  • Safety Architecture: Separates agent reasoning from action execution via DataStream control envelopes, ensuring operational safety regardless of agent behavior.
  • Strategic Benefits: Enables OT/IT integration, selective trust boundaries, and future-proofing for specialized AI ecosystems.

! [Decisions & Reasoning Diagram – XMPro Collaborative AI Agent Teams For Autonomous Industrial Operations] (https://ml.globenewswire.com/Resource/Download/8c07f614-9b7d-48ad-9448-7feb3e43696b/200dpi-a2a-and-mcp.jpg)

Executive Insights

"What distinguishes industrial AI is the need for absolute trust in automated systems that can affect physical operations," said Pieter van Schalkwyk, XMPro CEO. "MAGS 1.5 gives organizations confidence to deploy AI at scale while maintaining appropriate boundaries."

"A2A bridges the divide between operational technology and information technology," added Gavin Green, VP of Strategic Solutions, highlighting the protocol's role in enabling cross-domain collaboration.

Availability

MAGS 1.5 is available immediately for existing customers and will launch for new customers on May 15, 2025. Learn more at www.xmpro.com?utm_source=agenthunter.io&utm_medium=news&utm_campaign=newsletter or contact sales@xmpro.com.

Demonstration Resources

  • Introductory Demo
  • Deep Dive Demo

About XMPro: The company specializes in composable AI and real-time data solutions for industrial operations. Learn more at www.xmpro.com/apex-ai?utm_source=agenthunter.io&utm_medium=news&utm_campaign=newsletter.

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About the Author

Michael Rodriguez

Michael Rodriguez

AI Technology Journalist

Veteran technology journalist with 12 years of focus on AI industry reporting. Former AI section editor at TechCrunch, now freelance writer contributing in-depth AI industry analysis to renowned media outlets like Wired and The Verge. Has keen insights into AI startups and emerging technology trends.

Expertise

AI Industry Analysis
Startup Ecosystem
Technology Trends
Product Reviews
Experience
12 years
Publications
800+
Credentials
2
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