Don’t Just Build AI. Operate It.

The Real Challenge Gartner Identified — and How Greymatter Solves It

By Chris Holmes, CEO of Greymatter.io

Gartner’s 2025 research on AI-ready data and composable architecture reflects what we see every day in the field:

“Disconnected APIs and scattered data undermine the ability of AI agents to act autonomously.”

This isn’t a theoretical problem — it’s one that slows real missions, weakens operational outcomes, and delays innovation. Too many organizations build systems that aren’t composable, aren’t secure by design, and can’t move fast enough to meet the moment.

At Greymatter, we built our platform to change that.

The Real Problem: Infrastructures That Can’t Keep Up

As the demand for AI-driven decision-making accelerates, many teams face a painful truth: they can’t deploy or trust their systems at scale. Fragmented APIs, opaque data pipelines, and retrofitted security architectures leave AI agents blind — unable to take action, adapt, or support the mission.

We see these challenges everywhere. They delay integration. They slow down decision cycles. And they leave critical operations disconnected from the intelligence they need.

Greymatter solves this problem at the zero trust networking level.

Greymatter Makes AI Infrastructure Work

We designed Greymatter to create an application and API networking layer that is composable, observable, and policy-driven from day one. It works in any environment — cloud, edge, on-prem, or across classification boundaries. Most importantly, it is autonomous when orchestrating the zero trust network. It solves the three biggest problems Gartner identified:

1. We expose services through a real-time Catalog API

Greymatter registers every service it manages — and its metadata, status, and policy — in a live, discoverable catalog. This makes it possible for APIs, AI agents, and mission applications to find, invoke, and chain services on demand. This is the backbone of a composable architecture - without this any low code solutions or stitch frameworks fail.

2. We connect federated environments through multi-mesh orchestration

Greymatter links environments that were never designed to interoperate. Whether it’s cross-domain, cross-cloud, or multi-tenant, we keep services routable, secure, segmented, but discoverable, and policy-aligned across meshes — with no centralized bottleneck.

3. We turn every edge into an AI Gateway

Our edge gateways don’t just manage traffic — they govern how AI applications access backend services and models. They enforce zero trust, enrich context, apply policy, and log every call. Any AI data-enabled API — from commercial LLMs to sovereign inference stacks — runs securely through Greymatter’s edge.

This Is Operational Today

Greymatter isn’t a white paper. It’s running now in some of the most demanding US federal mission environments — and it’s driving real results. The 2024 GigaOm Radar for Service Mesh recognized us as a Leader and Outperformer, for hybrid support, observability, automation, and security.

We didn’t build this to win buzzwords. We built it to make modern missions possible — and we’re doing that today.

Thanks to the vision of the DoD Chief Digital and Artificial Intelligence Office (CDAO) and the Tradewinds Marketplace, defense and federal agencies can now acquire Greymatter.io through OTA contracts. You can move from awardable to awarded in days, not quarters.

Ready to Operate at the Speed of AI?

If you lead a mission or program and need infrastructure that’s AI-ready, composable, and secure — we should talk.

Visit greymatter.io to see how we’re supporting autonomous systems and composable architectures in production today.

If you’re a .gov or .mil buyer, you can access Greymatter through tradewindai.com. Search for “Greymatter” and get started.

We’re not speculating on what AI, APIs, and applications might require.

We’ve already built the infrastructure it needs.