data hero

FOR DATA

Your data exists. Now make it AI‑ready.

Mia-Platform maps existing data assets: governed layers, full lineage, andtrusted AI context.

TRUSTED BY DATA TEAMS AT

One governed layer. Every data asset your AI needs.

The Context Catalog for Data connects to your
existing sources, maps them into a unified view with
full lineage and semantic definitions, and exposes
them to AI agents with right Intents following AI
Playbooks. 
Clean, consented, traceable data, ready
when your models ask for it.


Built for data teams.
Trusted by the whole organization.

Every capability answers the same question: can this idea move from someone’s head to production without breaking governance, quality, or context?

data catalog

KNOW WHAT YOU HAVE

Data Catalog

A centralized registry of every dataset, table, pipeline, and model, enriched with metadata, ownership, and classification.

Your data engineers stop answering “where is that?” and start shipping.

data lineage

KNOW WHERE IT CAME FROM

Data Lineage

Visual maps of how data flows from source to consumption. Root-cause analysis that used to take days takes minutes. When regulations require proof of data origin, the answer is already there.

DPO Excel

GOVERNANCE THAT FITS EXISTING WORKFLOWS

DPO Frontend +
Excel Plugin

A dedicated interface for Data Protection Officers. The Excel plugin brings bulk metadata operations into a tool your compliance team already uses. Governance that fits the workflow your DPO already has, not the one you’d wish they had.


Real-time data, AI-ready, without touching your systems of record.

Mia-Platform Fast Data is the engine that moves, processes, and serves your enterprise data in real time. It decouples data from your systems of record, transforms it on the fly, and aggregates it into Single Views that AI agents, APIs, and applications can consume securely, 24/7.

  • <200ms data freshness
  • ~2k msg/s per pipeline instance
  • Hours to connect a new source
  • 24/7 governed availability

How to get it ->

fast data data fabric

Data Ingestion

Connect any source through pre-built connectors or custom integrations. Systems of record, event streams, APIs, legacy databases. Data enters the pipeline without direct queries to production systems, so the source is protected and the load is offloaded. New sources connected in hours. Zero impact on your systems of record.

Real-time Processing

Transform, enrich, and validate data as it flows. Stream-based processing handles millions of
messages per second. Business logic lives in the pipeline, not in ad-hoc scripts scattered across teams. Sub-200ms data freshness. Business rules applied consistently, once.

Single Views (Data Products)

Aggregate data from multiple sources into business-oriented views: a single customer, a single order, a single asset. Single Views are governed, discoverable in the Catalog, and built for reuse. One Single View replaces dozens of ad-hoc integrations. The AI gets a clean, pre-aggregated object, not a SQL join it has to figure out.

Secure Data Exposure

Serve Single Views through standardized endpoints: secure APIs, push events, or MCP access. Compliance rules are embedded, enforced at the exposure layer, and safe from shadow integrations. One Control Plane deploys, monitors, and simulates pipelines. You get a validated, AI-assisted setup, not a risky production deployment.


Questions we hear before the first call.

Does Mia-Platform replace my existing data platform?

No. Every source stays in place. Mia-Platform connects to your existing systems through pre-built connectors and syncs metadata and data into the Catalog. Your data warehouse, your data lake, your systems of record continue to work the way they do today.

Won't the catalog go stale the moment we stop maintaining it?

The catalog doesn’t go stale because humans don’t maintain it. Metadata ingestion is automated through connectors and AI enrichment. Lineage updates as your data moves. Ownership and classification rules are set once and applied continuously.

Does AI Data Readiness require us to clean our data first?

No. AI Data Readiness is the process of getting there, not a precondition. The Context Catalog works with the data you have today and gives your team a structured path to improve it, without stopping everything else.

How does it work with our existing data warehouse?

Mia-Platform connects to your warehouse as a source and catalogs its assets alongside your operational systems. The catalog becomes the unified view across both analytical and transactional data. Your warehouse keeps its role. The catalog adds governance and AI-ready access.

Ready to make your data foundation AI-proof?

See how the Context Catalog for Data turns fragmented enterprise data into a governed foundation your AI agents can rely on.