Prague — Enterprises are racing to deploy AI agents, but the customer data layer underneath was never built to support them. Most AI projects don’t fail for lack of ambition — they fail because the infrastructure can’t answer the most basic question an agent needs to ask: who is this customer, right now? Today, Meiro launches Pipes to close that gap.
Pipes is a self-hosted customer data infrastructure layer built from the ground up for AI-operated workflows. It captures behavioral events in real time, resolves customer identity as it happens, and routes a complete customer picture to any system that needs it — warehouse, activation tool, or AI agent. Every operation in the platform is exposed as a callable tool, meaning AI agents don’t just read dashboards: they act directly on live, trusted data. And because Pipes runs entirely inside the customer’s own infrastructure, enterprises never have to choose between AI capability and data sovereignty.
Why This Matters Now
Infrastructure control is becoming non-negotiable. According to a Q4 2024 Barclays CIO survey, 86% of enterprises plan to move workloads from public cloud back to private infrastructure, driven in part by geopolitical risk and tightening data regulations. Enterprises need customer data infrastructure that is both agent-ready and sovereign — and most current tooling forces a choice between the two.
The Problem Pipes Solves
Here’s what actually breaks in most enterprises: a customer browses three products, calls support, and opens the app — and no system in the building can stitch that into a single view fast enough to matter. Events get lost between tools. Identity resolution runs on yesterday’s batch. The marketing platform has fragments but not the full picture. And now AI agents are being asked to personalize, recommend, and act on top of infrastructure that can’t answer “what did this customer do five minutes ago?”
Most teams respond by bolting AI onto systems that were never built for it. The agent can read a dashboard but can’t create an audience. The LLM can draft a campaign but has no idea who the customer is. The result is agents that summarize instead of act, and customer context that never leaves the spreadsheet.
“Every vendor in our space is adding a chatbot and calling it AI. That’s not what we built. In Meiro, every operation is a tool an agent can call — with full approval controls and a complete audit trail. AI isn’t a layer on top of the product. It’s how the product is operated. And because Pipes is self-hosted, all of this runs inside the customer’s own infrastructure. The agents are sovereign too.”
— Pavel Bulowski, Co-Founder & CEO, Meiro
Agent-Native, Not Agent-Washed
Pipes exposes its full capability set as 170+ discrete tools that any AI agent can call. The platform was not retrofitted with a chatbot — every operation, from source configuration to audience export, was built as an agent-callable function from day one.
Key AI Capabilities at Launch
Piper, the built-in copilot. Piper operates inside the platform and can configure data sources, write transform functions, build customer attributes, create audiences, and set up destinations — all via natural language. Every mutation goes through an approval flow: the agent proposes, the human reviews and approves. Engineers stay in command.
Model Context Protocol (MCP) support. Meiro’s full tool set is available via MCP, meaning any compatible AI tool — Claude Code, Cursor, Windsurf, or custom-built agents — can operate the platform natively. No custom integration required.
Model-agnostic by design. Teams choose their LLM provider — Gemini, OpenAI, Anthropic, Mistral — or connect to a local model via vLLM or Ollama. No vendor lock-in on the AI layer. No customer data sent to external providers unless explicitly configured.
Collaboration tool integrations. Piper operates from Slack, Microsoft Teams, Linear, and GitHub — so teams can manage customer data infrastructure without context-switching into another dashboard.
Traction and Availability
Across its client base, Meiro has processed more than 500 billion events with 99.9% uptime. Among them, Derayah Financial — a leading Saudi Arabian financial services company — chose Meiro for its ability to deploy within its own infrastructure and meet compliance requirements unmet by SaaS-only alternatives. Derayah later expanded to the full Meiro platform.
Instead of per-user pricing that penalizes growth, Pipes uses event-volume pricing — helping enterprises reduce customer data infrastructure costs by 60 to 80 percent at scale.
Pipes deploys on-premise, on AWS, Azure, or Google Cloud, with the same product architecture. Full CLI, REST API, and SDK access are included.
Meiro Pipes is available now for a free technical test drive. To get started, request access at meiro.io.
