Latttice — the Data Product Workbench for Collibra, now on the Collibra MarketplaceLatttice — the Data Product Workbench for Snowflake70% Less Complexity with LattticeDeliver Trusted Data 80% FasterLower the Cost of Building and Operating Data Products by 70%Latttice is available where business teams work — Slack, Excel, LattticeGPTLatttice the Data Product Workbench brings trusted, fit-for-purpose data to the point of decisionsLatttice the Data Product Workbench is the bridge between the Business and Data TeamsLatttice delivers active governance at the point of data access, so trusted data products are created, controlled, and used with confidenceDesigned in North Carolina, USA
AI Data Products

The trusted interface between your enterprise data and AI.

AI data products are governed, business-owned units of data with a contract — freshness, quality, semantics, and access policy — that copilots, agents, and analytics platforms can safely bind to. Latttice is the workbench where they get built, shipped, and trusted.

What they are

Governed, versioned units of data with a named business owner and an explicit contract — not raw tables, not one-off extracts.

Why they matter for AI

AI systems need something reliable to reason over. Data products give them a stable, policy-bound interface instead of drifting pipelines.

How Latttice builds them

A zero-code workbench where business teams shape trusted data products in minutes — active governance from the moment data is created.

What is an AI data product?

An AI data product is a governed, business-owned unit of data — with an explicit contract for freshness, quality, semantics, and access — that AI systems bind to instead of raw tables. It's the difference between an agent reasoning over trusted "customer risk" and an agent stitching together three brittle extracts and hoping.

It carries four things a dataset alone does not: a named business owner, an active governance policy, a lifecycle with versioning and deprecation, and lineage a regulator or auditor can actually read.

Why AI needs data products

Every serious AI program hits the same wall: the data isn't ready. Gartner estimates 60% of AI projects will be abandoned through 2026 for exactly this reason. McKinsey's 2024 State of AI found high performers are more than twice as likely to have adopted data-product operating models.

  • AI systems bind to a stable product, not a snapshot — so they don't silently drift when the business changes.
  • Policy is enforced at the interface, so an agent can't surface data its calling user shouldn't see.
  • Ownership sits with the business domain that generates the data — the people who know what it means.
  • Every product carries provenance and trust scoring — no black-box AI on unexplained inputs.
Where Latttice fits

Latttice is the workbench for AI data products.

Business teams shape data products in a zero-code workspace. Governance is active from the first click — contracts, ownership, access policy, and lineage bound to the product itself. Each finished product becomes a secure data plugin for AI, ready for copilots, agents, RAG pipelines, and analytics.

No migration. No rip-and-replace. Latttice connects to Snowflake, Databricks, Collibra, SAP and the rest of the stack you already run.

Related reading

Start a Data Conversation

See what becomes possible when your data is finally accessible.

If your business could access trusted data instantly, what decisions would move faster?Latttice puts data products directly into the hands of the people who use them.

Start a Latttice Trial
Ready when you are

See Latttice with your own use case.

Bring us a business challenge, decision or data product idea. We'll show how Latttice can bring it to life using realistic synthetic data, without requiring access to your private data.

No sales pitch. Just a tailored demonstration for your scenario.