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 modern, cost-efficient engine we run for you. Reliable, current, self-serve data, without the team it normally takes to keep it that way.

continuous · self-healing in sync
governed foundation ingest model certify ✓ watch
schema drift detected → re-mapped → re-certified
// the problem

The fires aren't random. They're structural.

Skip a layer of the platform and it shows up downstream — as a broken dashboard, a disputed number, or a question only one person can answer.

No one owns the platform
missing

No dedicated team to build or run it — so it firefights at the delivery end instead.

Numbers don't match
missing

Same metric, three teams, three answers — reconciled by hand, every time.

Knowledge lives in people
missing

Domain and tribal knowledge sits in Slack threads and one person's head — never the system.

Prep eats the week
missing

Analysts spend more time preparing to work than actually working.

// how foundation works

From raw schema to governed foundation.

01
Connect
Point Foundation at your warehouse, databases, and CRM — or let it stand up its own cost-efficient engine. No manual modeling to start.
02
Structure
Ingestion, pipelines, and modeling run automatically — schema, metrics, and join paths map into one governed model.
03
Certify
Anything Foundation isn't fully confident about is flagged for your team to confirm before it's trusted.
human checkpoint
04
Maintain
When something upstream changes, pipelines heal themselves — changes are detected and propagated, so the foundation never silently drifts.
// why it matters

The foundation BI already needs — and the one agents will need next.

For your BI and analytics today

One governed model of your schema and metrics means dashboards stop breaking, and every team is working from the same numbers.

For the agents you'll deploy tomorrow

The same foundation is what any agent draws from — so you're not building the same plumbing twice.

// what actually needs to get built

Structure, then meaning, then trust — in that order.

Each layer builds on the one below it. Governance runs through all four, not bolted on top.

layer 4 · certified
Context Foundation
The layer BI and agents both draw from.
layer 3
Domain & Tribal Knowledge
What it means — captured, not tribal.
AI extracts
layer 2
Semantic Layer & Metrics
One governed number per metric, versioned.
AI drafts, humans certify
layer 1 · foundation
Ingestion & Pipelines
Connect once. No DAGs to babysit.
AI monitors & self-heals
runs through every layer

Governance & Access

Read-only by default. Inherited permissions. Full audit trail. AI resolves identity across systems.

// governance & security

Your data. Your rules.

Read-only access by default. Admins control every connected source. BYOC available for teams that need data to stay inside their own environment.

Read-only access BYOC available Audit trails

Talk to us about Foundation.

See what a reliable, governed data platform looks like — without hiring the team to run it.

Book a call →