meshIQ AI
One AI control plane for data in motion.
70%
Faster incident resolution.
10+
Data-in-motion platforms, one control plane.
100%
Agent actions logged & attributable.
25 yrs
Of governing data in motion.
Trusted by 7 of the world’s top 10 banks and leading enterprises worldwide.
One control plane for data in motion and AI agents.
meshIQ is governance for data in motion, now extended to the AI agents acting on it with AgentIQ. One control plane to observe what is happening, decide whether it is allowed, and act.
See every message, every action, every dependency, across platforms and across AI agents.
Policy at the action level: allow, hold for approval, throttle, block. Enforced before agents execute.
Act on the estate, and prove afterward exactly what was done, by whom or by what.
Data in Motion
AI agents observe your data in motion, diagnose across platforms, and act with approval, including the work of modernizing off legacy platforms.
- meshIQ Platform: Manage · Observe · Track
Centralized platform to unify all of your data in motion - meshIQ Agentic Operations
AI Copilot and MCP Server - Agentic Middleware Modernization
AI-assisted modernization of legacy platforms - Apache ActiveMQ, Apache Artemis and Apache Camel
Enterprise support across the Apache messaging stack - B2B Flow Intelligence™
Assure every B2B transaction across the entire flow
Enterprise AI Agents
Discover every AI agent running in your enterprise, control what each agent can access, and block, escalate, and verify each action.
- meshIQ AgentIQ
Governance & control plane for AI agents - Discovery & inventory
Every agent, tool, MCP server, credential - Policy, guardrails & approvals
Action-level enforcement - Audit, forensics & replay
Evidence an auditor will accept
Data in Motion
Your integration, messaging and streaming team, with agents on it.
Integration, messaging and streaming admins spend the day correlating six dashboards to answer one question: why is this payment stuck? meshIQ agents already have the answer, the evidence, and a proposed fix, with its blast radius, before the ticket is opened.
- Ask in plain language. “Which queues are backing up in the EMEA payments flow, and since when?”
- Diagnose across platforms. MQ, Kafka, EMS and Solace signals correlated the way a twenty-year admin would.
- Act with approval. Drain, rebalance, restart, scale: proposed, previewed, then executed on your say-so.
- Everything recorded. Every agent action logged, attributable and replayable.
Agentic Middleware Modernization
Migrations take years or do not start because no one has a clear understanding of what’s actually in the existing environment. meshIQ AI does.
The hard part of leaving legacy middleware is not adopting the new platform; it’s understanding what the legacy platform does when no one left in the organization knows it anymore. The platform with AI agents already managing your environment can uncover it by analyzing configurations, live traffic and code repositories. Migration is simply turning that understanding into an actionable plan.
- Discover what is really there. Live traffic analysis, not the five-year-old architecture diagram.
- Map dependencies. Which app, which partner, which transaction depends on this queue.
- Convert automatically. Topology, config and flow translation into the target platform.
- Prove it matches. Parallel-run validation, message for message, before cutover.
IBM MQ → Apache ActiveMQ
Topology and flow translation
Confluent Platform → Apache Kafka
Config conversion and validation
On-prem → cloud
Cutover planning and rollback
AI Agent Governance
meshIQ AgentIQ.
Your enterprise is deploying AI agents faster than anyone can inventory them. They hold credentials, call tools, make business decisions and touch sensitive data, and most are invisible to every control you already own. AgentIQ is the single control plane for all AI agents, regardless of framework.
- Discover. Every agent, MCP server, tool and credential already running, including the ones nobody registered.
- Constrain. Action-level policy: allow, require approval, rate-limit, block. Enforced before the action executes.
- Prove. Immutable audit of every prompt, tool call, data touch and outcome, replayable for an auditor.
- Report. Map agent behavior to the EU AI Act, NIST AI RMF and your internal risk framework.
We have spent twenty-five years making the invisible traffic between enterprise systems observable, governable and accountable. AI agents are just the newest kind of traffic.
Greg DeaKyne, VP Product at meshIQ
Built For
One plane, whoever owns the outcome.
Infrastructure, transformation and risk teams work from the same source of truth, and see only what they need.
Infrastructure & platform
Run the estate with fewer people.
Agents that diagnose across every messaging platform you own and propose the fix, so a smaller team can hold a larger estate.
Resolve incidents up to 70% faster
Transformation & architecture
Get off legacy messaging and streaming sooner.
AI reads the estate you cannot document, converts what it can, and proves the new platform matches before you cut over.
Evidence-backed cutover, not a leap of faith
Security, risk & AI
Say yes to AI, safely.
Every agent discovered, every action governed, every decision replayable, so AI can scale without becoming an unowned risk.
100% of agent actions logged and attributable
Resources
Start where you are.
Whitepaper
AI Accelerated Middleware Modernization
7 Strategic Shifts for Reducing Complexity, Accelerating Transformation, and Preparing for Agentic AI.
Factsheet
AgentIQ
AI agents are no longer just generating responses—they’re executing decisions. AgentIQ governs those decisions while they happen.
Report
Multi-Protocol Performance Benchmarks – Open-Source Messaging Brokers (2026)
Equip your architecture and DevOps teams with the data needed to choose, configure and scale open-source messaging fabric for your modern hybrid infrastructure.
The Full Picture
Everything meshIQ does, in one map.
One AI control plane, pointed at data in motion and AI agents: every capability underneath it.
Modernize your enterprise IT with the AI control plane.



