Context layer for enterprise AI

AI agents are only as good as the data behind them.

Matriq organizes your warehouses, tools, and documents into one governed foundation — so every agent you build or buy actually understands your business.

how the context layer sits in your stack governed · read-only · live
Your sources
Warehouse
CRM & tools
Documents
Event streams
MATRIQ CONTEXT LAYER

The organized knowledge layer behind your business — one structure every AI agent reads from.

Any output
Agents
BI & dashboards
Document search
Automations
Read-only by default/BYOC deployment/A decade running enterprise data functions
// why most enterprise AI stalls

Most AI initiatives don't fail on the model. They fail on the data underneath it.

One shared model
missing

Data is scattered across warehouses, tools, and documents with no shared definitions.

Built once, reused
missing

Every new agent re-solves the same integration problem from scratch.

Balanced access
missing

Without governance, agents get either too much access or too little to be useful.

// what matriq does

Foundation you run. Studio that builds with you.

Matriq connects to your data sources and builds a governed, living model of your business — entities, metrics, relationships, permissions. Any agent can then query it reliably.

01
Connect
Point Matriq at your warehouses, databases, and documents.
02
Structure
Schema, metrics, and relationships map into one governed model.
03
Certify human
Anything uncertain is flagged for your team to confirm.
04
Serve to agents
Any agent — yours, ours, or a vendor's — queries it reliably.
Matriq Foundation

Enterprise-grade data engineering, without the enterprise-size team.

Foundation runs your ingestion, pipelines, and governance end-to-end — on your existing warehouse, or a cost-efficient engine we run for you. Pipelines heal themselves when something upstream changes, and every metric is defined once and certified.

entities metrics relationships permissions
Self-healing pipelines· One certified source of truth· Works with your warehouse, or runs its own
Explore Foundation →
Matriq Studio

We build the agents on top of it.

Our hands-on team builds purpose-built agents on your context layer — so your analysts and operators focus on judgment calls, not on re-explaining the business to a model.

Data Analyst Support Churn +2 more
What drove the drop in activation last week?
Activation fell -12%, mostly the onboarding step change on Tuesday.
Explore Studio →
Built on rigor, not shortcuts

The architecture enterprises need before they'll trust an agent with their data.

Governed by design

Permissions are inherited from your existing sources — an agent only ever sees what a person in that role could see.

Change-aware

Schema drift and definition changes are detected and reflected automatically — not silently breaking every agent downstream.

Human-certified

Nothing reaches an agent without a clear point where your team can review and confirm it — automation with a checkpoint.

Deployed your way

Matriq Cloud, or inside your own environment. Your data never has to leave your perimeter.

// governance & security

Your data. Your rules.

You choose what to share. Admins control every connected source. User-level access carries over from each source — to data, documents, and anything derived from them.

Read-only access BYOC available Audit trails Role-based access
Design partners

We're building this hand-in-hand with a small number of teams.

You get direct access to the founding team, input into the roadmap, and a foundation built for how your business actually works — not a generic template.

Become a partner

See what a context layer looks like for your data.

30 minutes. Real questions about your stack, real answers about how Matriq fits.

Book a call →