Trusted AI starts with trusted data products.
Latttice helps enterprises create governed, reusable, AI-ready data products — so models, agents, and conversational interfaces are grounded on enterprise truth, not guesswork.
Six foundations for trusted enterprise AI.
Reliable AI is not a model problem — it's a data product problem. Latttice operationalizes the foundations so AI works the way the enterprise needs it to.
Policies, purpose, and consent enforced on every prompt, retrieval, and model input — not bolted on after the fact.
Certified, versioned, contextual data products — designed to ground models and agents on enterprise truth.
Trace every AI output back to the data products, transformations, and sources that produced it.
Business meaning, definitions, and metrics travel with the data — so AI inherits enterprise context.
Governed, observable agents that consume trusted data products and act inside your business policies.
Ask questions in natural language — answered against governed products with traceable, explainable outputs.
The AI-ready data lifecycle.
Governance, context, and trust embedded at every stage — so AI consumes data products that are safe, explainable, and reusable.
Publish certified, governed data products with semantic context.
Attach business meaning, definitions, and relationships.
Bind policies, classification, and access — enforced at runtime.
Models and agents consume trusted products as their source of truth.
Every output traceable to inputs, products, and policies applied.
One layer of meaning. Every model inherits it.
Definitions, metrics, hierarchies, and entity relationships are published as reusable context — consumed by every model, agent, dashboard, and conversational interface across the enterprise.
- Shared business glossary bound to every product
- Metric definitions versioned and certified
- Entity relationships exposed to AI tools
- Context delivered as part of every retrieval
Everything you need to make data AI-ready.
Curated, certified, versioned products designed for model and agent consumption.
Definitions, metrics, hierarchies, and relationships shared across teams and models.
Every input to a model carries policy, purpose, classification, and consent at runtime.
End-to-end traceability from AI answer to source — across products, transforms, and prompts.
AI agents call governed data products as tools — with identity, policy, and observability.
Natural-language Q&A grounded on trusted data products with cited sources.
Rich metadata, business glossary, and semantics packaged with every product.
Quantified signals — quality, freshness, lineage depth, classification, ownership — per product.
Monitor prompts, retrievals, products consumed, and outputs across your AI stack.
Agents that act inside enterprise boundaries.
Agents call governed data products as tools — with identity, policy, observability, and lineage on every action.
Ask in language. Get cited answers.
Natural-language Q&A grounded on certified products — every answer traceable to the products and definitions behind it.
Measure what makes AI enterprise-grade.
Make every AI initiative trustworthy by design.
See how Latttice helps enterprises build AI-ready data products with governance, context, and explainability built in.