The AI-powered Data Product Workbench

Latttice is where trusted data products get built.

Name: Latttice
Brand: Data Tiles

Latttice is the AI-powered Data Product Workbench that helps business and data teams create trusted, governed, fit-for-purpose data products without code. It turns business intent into reusable data products that can be governed, shared and used safely across the platforms you already run.

The Decision-Driven methodology defines what the business needs. Latttice is the software that makes it real by turning those requirements into governed data products ready for decisions, analytics and AI.

See Latttice in action Explore the Decision-Driven methodology

For product detail, demos and trial access, visit Latttice.com.

See how Latttice brings trusted data to the point of decision

Why Latttice

Most enterprises have data platforms.
Few have a way to turn them into trusted data products.

Warehouses, lakes, catalogs and pipelines are in place, yet the business still waits in a queue for the data it needs. Latttice closes that gap by giving business and data teams a governed, no-code workbench to build trusted, fit-for-purpose data products that are ready for decisions, analytics and AI.

Positioning

The Governed Data Product Workbench.

Latttice is the governed Data Product Workbench that helps organizations create, govern, execute and publish trusted data products for analytics, AI agents and operational decisions.

It does not replace Snowflake, Databricks, Microsoft Fabric, Collibra or your existing cloud data platforms. It activates those investments by turning governed business intent, metadata, policies, source data and business logic into reusable, trusted data products.

The Structural Gap

The missing layer between governance,
data platforms and AI.

Most enterprises have governance that defines trust, platforms that hold the data, and AI that is hungry to use it — yet the work in between is still done by hand, project by project. The activation layer is what closes that gap at enterprise scale.

The Missing LayerExecutive reference diagram

Layer 5

AI & Decisions

Consume trusted output with confidence.

Layer 4

Applications & Agents

Act on governed, executable products.

The missing layer

Layer 3

Latttice — the Activation Layer

Turns governed business intent into trusted, executable data products, reusable across BI, APIs, applications and AI agents, without rebuilding the platforms beneath.

ProducesTrusted Data Products

Foundations

Layer 2

Active Governance

Defines trust, meaning and policy.

Layer 1

Data Platforms

Store, process and move enterprise data.

Above

Consumers

The layer

Latttice

Below

Foundations

Executive takeaway

You do not need another platform. You need the layer that makes the ones you already own act with trust — at the speed AI now demands.

See how Latttice activates Read the executive perspective

The workflow

What Latttice actually does.

A single, governed lifecycle from business intent to trusted output — reusable across BI, APIs, applications and AI agents.

Step 01
Business intent
Step 02
Define data product
Step 03
Connect data sources
Step 04
Apply semantics and policies
Step 05
Execute logic
Step 06
Publish trusted output
Step 07
Consume through BI, APIs, applications and AI agents

AI-Ready Data Products

The Eight Dimensions of an AI-Ready Data Product.

AI systems need more than access to data. They need data products that are complete, governed, explainable, interoperable and trusted at the point of decision. Latttice helps teams build data products aligned to the Data Tiles AI Readiness Framework.

Dimension 01

Completeness & Quality

Measures whether the data product is accurate, complete, current and fit for its intended decision or AI use case.

Dimension 02

Semantic Clarity

Ensures business meaning, terms, definitions and relationships are explicit, not assumed.

Dimension 03

Feature Readiness

Confirms the data product is structured and usable for analytics, AI models and agentic workflows.

Dimension 04

Observability & Stability

Tracks freshness, reliability, drift, failures and operational health over time.

Dimension 05

Governance & Policy Enforcement

Applies access, privacy, usage and compliance policies at the point of creation and consumption.

Dimension 06

Lineage & Explainability

Makes provenance, transformations, dependencies and decision logic traceable and explainable.

Dimension 07

Interoperability

Ensures the data product can be consumed across BI, AI, data platforms and enterprise workflows.

Dimension 08

Trust & Usage Signals

Shows whether people and systems are using, trusting and reusing the data product.

Behind these eight dimensions are 37 measurable metrics used to assess whether a data product is truly AI-ready. The framework is owned by Data Tiles. Latttice operationalises it in software, so AI readiness becomes a continuous, measurable property of every data product your teams build.

Explore the AI Readiness Framework View the 37 Metrics

The AI-Ready Data Product Metrics Framework

Everyone talks about AI-ready data. Data Tiles measures it through Latttice.

Most organizations are being told they need AI-ready data. Very few are being shown how to measure it.

Data Tiles defines AI readiness through trusted data products, evaluated across 8 dimensions and 37 operational metrics. In Latttice, these measurements determine whether a data product has the quality, context, governance, lineage, interoperability and trust signals required for AI to use it with confidence.

Dimension 01

Data Quality

Whether the underlying data is accurate, complete, timely and consistent enough for AI to rely on.

Completeness %
Null Rate on Model-Driving Features
Outlier Rate / Anomaly Frequency
Consistency Across Sources
Label Quality Score

Dimension 02

Semantic Clarity

Whether terms, fields and values mean the same thing to humans and to AI.

Business Term Coverage
Field Description Completeness
Join Path Clarity Score
Ambiguity Score

Dimension 03

Feature Readiness / Model Usability

Whether the product exposes the features, freshness and grain an AI use case actually needs.

Feature Availability Score
Feature Freshness
Historical Depth
Granularity Alignment Score
Derived Feature Coverage

Dimension 04

Observability & Stability

Whether the product remains stable, monitored and predictable, protecting AI from silent drift.

Schema Drift Frequency
Data Drift Score
Pipeline Reliability
Data Freshness SLA Compliance
Variance in Key Metrics Over Time

Dimension 05

Governance & Policy Enforcement

Whether access, privacy and usage policies are enforced at the point AI reads the data.

Policy Coverage
Policy Enforcement Success Rate
Sensitive Data Classification Coverage
Access Auditability Score
Compliance Alignment

Dimension 06

Lineage & Explainability

Whether you can show where data came from and why an AI system saw what it saw.

End-to-End Lineage Completeness
Transformation Transparency Score
Reproducibility Score
Source Traceability Score

Dimension 07

Interoperability / Agent & API Readiness

Whether agents, copilots and applications can consume the product through stable interfaces.

API Accessibility Score
Query Success Rate via Natural Language
Latency for AI Query Execution
Tool Integration Readiness

Dimension 08

Trust & Usage Signals / Outcome-Oriented

Whether the product earns trust over time through measurable use, feedback and decisions supported.

Trust Score
Adoption Rate
Query Success vs Failure Rate
AI Usage Frequency
Decision Impact Score

Latttice operationalizes these 8 dimensions and 37 metrics throughout the lifecycle of every data product — from creation to consumption — so AI readiness is a continuous, measurable property, not a one-time score. Explore how Latttice measures AI readiness →

Executive Assessment

Is your data actually ready for AI?

Measure your readiness across the 8 dimensions that matter.

Take the AI Readiness Assessment

Clear positioning

How Latttice complements your existing data stack.

Latttice does not replace your existing platforms. It helps business and data teams turn trusted enterprise data into governed, reusable data products for the decisions that matter most.

Existing Technology

What It Typically Does

Where Latttice Adds Value

Data Catalog

Organizes metadata, definitions and governance context.

Turns governed metadata into executable data product rules and business-ready data products.

Data Warehouse

Stores and processes enterprise data.

Activates trusted enterprise data as reusable, governed data products for business teams and AI.

ETL / Pipeline Tools

Moves, transforms and prepares data.

Manages the business data product lifecycle beyond technical pipelines, including ownership, governance, reuse and consumption.

Semantic Layer

Defines consistent business meaning and metrics.

Embeds business semantics into governed data products that can be reused across decisions, analytics and AI.

AI Platforms

Runs models, agents and AI-assisted workflows.

Supplies trusted, governed, fit-for-purpose data products that AI systems can safely consume.

No rip and replace

Latttice works alongside your existing platforms, including Snowflake, Databricks, Microsoft Fabric, Collibra and other enterprise data investments. It helps activate trusted data for business use without forcing organizations to rebuild their technology landscape.

Where Latttice fits

Enterprise Data Platforms

Snowflake · Databricks · Fabric · Collibra · Other Sources

↓

Latttice

AI-powered Data Product Workbench

↓

Trusted Data Products

Governed · Reusable · Business-led · Fit for purpose

↓

Consumption

Business Decisions · Analytics · Applications · AI Agents

Where Latttice Fits

Latttice activates the investments you already have.

Latttice does not replace your data platforms. It sits above them — turning the data you already store into trusted data products that the business and AI can rely on.

The result: faster trusted decisions, without rip-and-replace.

Explore Latttice →Knowledge System

Layer 01
Business Decisions
The outcomes the organization is trying to improve.
Layer 02
Trusted Data Products
Business-led, governed, reusable units of trusted data.
Layer 03
Latttice Data Product Workbench
Define, govern, discover and activate trusted data products.
Layer 04
Existing Enterprise Data Estate
Snowflake • Microsoft Fabric • Databricks • Collibra • SAP • APIs • Files

Connectivity

Connect to your existing data estate.

Latttice is designed to work with the platforms, tools and data sources organizations already use.

Whether data lives in cloud data platforms, databases, data lakes, streaming platforms, governance tools, APIs, business applications, collaboration platforms or files and documents, Latttice helps turn fragmented data into trusted, governed data products.

Latttice activates the existing stack. It does not require organizations to rip and replace the platforms they already rely on.

Cloud data platforms
Snowflake, Databricks, Microsoft Fabric, BigQuery, Redshift.
Databases
Relational and NoSQL systems across cloud and on-premise.
Data lakes
Object storage and open table formats.
Governance platforms
Catalogs and policy systems such as Collibra.
Streaming platforms
Kafka, Kinesis and event-based pipelines.
APIs
REST, GraphQL and internal service endpoints.
Business applications
ERP, CRM, finance, HR and operational systems.
Files and documents
Spreadsheets, PDFs and unstructured content.
Collaboration platforms
Microsoft 365, Google Workspace, Slack and Teams.
Structured and unstructured
Tables, documents, media and signals — together.

View Connector Directory Explore Latttice

The full connector list is maintained in the downloadable Connector Directory. Request access via the link above.

The shift

From long handoffs to governed data products in minutes.

Latttice helps organizations reduce complexity, shorten data product delivery cycles, and give business teams a simpler way to work with trusted data.

Less complexity

Business teams can create data products without having to interpret technical workflows or wait for every change to move through engineering.

Faster delivery

Move from business need to usable data product in minutes, not months, with guided, zero-code workflows, reducing the rework and handoffs that drive up delivery cost.

Governed by design

Build access controls, quality rules, and governance logic into the product creation process from the start.

See Latttice in action

See Latttice in action.

Watch how Latttice helps teams build, govern, and use data products without code. These short walkthroughs show how trusted data can move closer to the business decisions it is meant to support.

BUILD

Build a data product in minutes

See how business users can create structured data products without code.

ABAC

Attribute-based access control made simple

See how Latttice supports governed access and data product control using ABAC.

LATTTICEGPT

Talk to your data with LattticeGPT

Analyze trusted, governed data products through a conversational interface.

INTEGRATIONS

Work where your business already works

Use Latttice through familiar environments such as Slack, Excel, BI tools, and email.

Want the full product experience?

This page gives you the overview. The Latttice website takes you deeper into product capabilities, use cases, tutorials, and trial access.

Explore Latttice.com Start a free trial See real-world examples

What makes Latttice different

The four foundations of Latttice.

Business-built data products

Latttice lets domain teams create the data products they need using the business context they already understand.

Governance built in

Access controls, quality rules, and policy logic are applied as part of the data product creation process.

Data stays where it lives

Latttice works with existing platforms and sources without forcing another rip-and-replace project.

Decision-ready outcomes

Latttice brings trusted, fit-for-purpose data closer to the moments where business decisions are made.

The Latttice journey

From source to decision, connected.

Your existing platforms manage the infrastructure, pipelines, policies, and processing. Latttice helps business teams turn trusted data into governed data products they can use, share, and act on.

Latttice data flow: connect any source, use Latttice AI and zero-code tools to create and share data products, and deliver them to analytics, BI, experimentation, collaboration, and digital channels.

Existing data sources

Connect to the systems and platforms your organization already uses.

Governed data products

Create structured, trusted, fit-for-purpose data products without code.

Business use and analysis

Use those data products in the tools and workflows where your teams already work.

Better decisions

Bring governed, trusted data closer to the point of decision.

First step

Start with one governed data product.

The fastest way to understand Latttice is to see one data product being created. Watch how a business user can move from a data need to a governed, structured data product without writing code.

◆

Zero-code creation

Build data products without technical expertise or coding knowledge.

◆

Minutes, not months

Reduce the delays created by long request queues and repeated handoffs.

◆

Governed from the start

Apply structure, quality, and access logic as part of the creation process.

Watch the walkthrough

A short walkthrough of creating a structured data product in Latttice, no code required.

Ready to explore the full product? Visit the Latttice website for more demos, use cases, and trial access.

Explore Latttice.com

Next step

Ready to bring trusted data to the
point of decision?

Latttice helps business and data teams move from data requests to governed data products, faster. Explore the full Latttice website, watch the walkthroughs, or start a conversation with Data Tiles.

Explore Latttice.com Start a free trial Talk to Data Tiles

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