Paladio Lattice
The foundation for vertical AI applications.
Connect enterprise systems, create business understanding, govern AI with confidence, and deploy intelligent applications on a foundation designed for enterprise scale.
Trusted by enterprise teams across commerce, retail & finance
The structure beneath
enterprise AI.
Most AI platforms focus on applications. Lattice focuses on what makes applications possible.
Connectivity. Context. Trust. Execution. The four properties every successful AI application eventually needs.
Four layers.
One Lattice.
Connect. Understand. Trust. Execute. Four capabilities, one foundation — the structure beneath every Paladio application.
Connect
How do systems participate?
Connect enterprise systems without forcing everything into yet another platform. Move information, not gravity.
Understand
How does knowledge become understanding?
Enterprise data isn’t context — until a layer assembles it. Fabric turns enterprise data, workflow history, policies, and prior decisions into task-scoped, governed memory your agents can reuse.
Trust
How does intelligence become trusted?
Make AI observable, governed, and auditable — so production systems earn enterprise confidence by default.
Execute
How does trust become action?
Create production AI systems without locking yourself into any single framework. Build once, evolve continuously.
Together they form Lattice.
Connectivity, context, trust, and execution — one continuous structure. Adopt any agent framework on top; the foundation never moves.
Applications emerge
from understanding.
Catalog Agents. ACL. TaxGraph. SpecGraph. Different problems. One foundation.
Lattice is not an application. Lattice is the foundation from which vertical AI applications emerge.
Lattice is the foundation. The products below are proof.
Make every product AI-ready.
Raw product data in. Agent-ready catalog intelligence out. Catalog Agents classifies, enriches, and structures every product so AI agents can discover, compare, and transact against it.
Explore Catalog Agents →Products were built for marketplaces. The future belongs to agents.
Catalog Agents makes products understandable to agents. ACL connects agents to merchants. Together they enable agentic commerce.
The connectivity layer
for agentic commerce.
One integration for merchants. Infinite experiences for agents. ACL is the connectivity layer between AI agents and every merchant system.
Explore the Agentic Commerce Layer →One integration for merchants. Infinite experiences for agents.
Explainable tax intelligence.
Every tax determination traced from product to code. Transparent, auditable, and defensible — by design.
Explore Tax Graph →AI for Construction Procurement.
Construction specs in. Procurement intelligence out. SpecGraph reads documents, builds equipment schedules, matches products, and connects vendors — automatically.
Explore Spec Graph →Built on Lattice.
One foundation. Multiple applications. The same four layers power every product.
The Lattice
architecture.
Lattice is not another destination for data.
The systems stay exactly where they are. Lattice creates the structure that allows them to understand together.
Lattice is not another destination for data. It is the structure connecting what already exists.
Four reasons to build
on the foundation.
Governed. Observable.
Trusted.
Operational excellence isn’t a feature you add later. On Paladio it’s the substrate every product inherits.
Measured where
it matters.
Not a logo wall. The operational results enterprises see when foundations come first.
From the Paladio lab.
Practical research on catalog agents, agentic commerce, and what it takes to make AI work in enterprise systems.
What Are Catalog Agents? (And Why a PIM Can't Do What They Do)
Catalog agents are purpose-built AI systems that extract, classify, verify, and connect product data at scale. Here's what each one does — and why the category exists.
Your Products Are Being Filtered Out. Not Ranked Down — Filtered Out.
AI shopping agents don't rank results. They eliminate candidates that fail structured constraints. A product that disappears from ChatGPT isn't at position 12 — it was excluded before the shortlist formed.
What Is Catalog Readiness? (It's Not the Same as Clean PIM Data)
Catalog readiness is whether each SKU carries enough structured signal for an AI agent to retrieve, filter, compare, and transact on it — without a human catching exceptions.
Catalog Agents vs PIM: Same SKUs, Different Jobs
Your PIM tracks what exists. Catalog agents decide whether it's correct. Here's the exact line between them — and why most teams with data quality problems already have a PIM.
The Agentic Commerce Readiness Checklist: 5 Dimensions, 25 Checks
A practical checklist for assessing whether your catalog can be acted on by AI shopping agents. Each check maps to a specific failure mode at retrieval, filter, comparison, or transaction time.
How to Run a Catalog Readiness Assessment (Before Your Channel Does)
A step-by-step framework for scoring your catalog across three readiness buckets at the product level — so you know what to fix before it costs you a listing or a recommendation.
Build on Lattice.
The foundation for vertical AI applications. Whether you’re creating agentic commerce experiences, financial intelligence systems, construction workflows, or entirely new categories of AI software — start with Lattice.