Structured Intelligence

Making inventory
legible to agents.

Ontologie Labs is developing structured intelligence for the agentic commerce era — research and tooling that helps merchants become discoverable, comparable, and trustworthy to the AI agents mediating the next generation of commerce.

Agents are becoming
the entire storefront.

Every retail era creates a shift in how buyers discover and evaluate products. We are entering the third era — where AI agents mediate discovery, recommendation, and transaction on behalf of consumers.

Era 01 — Physical Space

Brick-and-mortar

Shelf placement, layout, and in-person assistance guided discovery. Retailers controlled every touchpoint.

Era 02 — Digital Screens

E-commerce

Search relevance, reviews, and conversion funnels replaced the shop floor. Merchants invested in SEO and digital merchandising.

Era 03 — The New Frontier

Agent-mediated

Agents dominate discovery and recommendation, treating merchants as endpoints. Retailers lose direct control of the discovery layer.

The Paradox: Open access risks UX control. Blocking access risks losing demand from the agent-driven market. The only durable strategy is making your inventory legible to agents.

Progressive
Enrichment

We are developing AI models to extract layers of structured semantic metadata from inventory data — creating rich, machine-legible representations that agents can reason over with confidence.

Inventory today is built for human eyes: visual merchandising, buried constraints, and implicit meaning. For agents to discover, compare, and transact confidently, that inventory needs to become structured, comparable, trustworthy, and explainable. Structured intelligence can enable this whether delivered as a middleware layer, a merchant-side enrichment capability, or directly embedded into commerce workflows.

"In an agent-mediated world, the retailer's moat shifts from owning discovery to knowing the inventory."

Progressive Enrichment Framework

Layer 6

Agent Card

Summary, key specs, uncertainties, clarifying questions — optimized for agent consumption.

Layer 5

Context & Compatibility

Room fit, style pairings, occasion, season.

Layer 4

Trust Signals

Authenticity, condition, return risk, fraud indicators, delivery.

Layer 3

Aesthetic & Semantic Layer

Style scores, hex colors, finish, pattern, mood tags.

Layer 2

Category-Specific Entity

Category and entity-specific attributes extracted at depth.

Layer 1

Universal Product Base

Identity, price, images, embeddings, raw corpus.

Layer 0

Existing Standards (Intake)

Schema.org, Google Taxonomy, eBay, Etsy, Shopify.

How we
work with you.

[01]

Intelligence Research & Development

We are building the Progressive Enrichment Framework — a layered approach to extracting structured semantic metadata from inventory data. The goal: inventory that agents can discover, reason over, and act on with confidence, whether through a middleware layer or directly within merchant systems.

  • Structured metadata extraction
  • Agent Card generation per SKU
  • Trust signal and condition modeling
  • Semantic embedding pipelines
  • UCP & ACP protocol readiness research
[02]

Strategic Consulting

Navigate the agentic commerce transition with clarity. Drawing on deep experience leading Buyer AI at eBay, we help retailers and platforms assess readiness, define strategy, and prioritize the highest-leverage investments.

  • Agentic commerce readiness assessment
  • Inventory legibility audit
  • Protocol integration strategy (UCP, ACP)
  • Personalization architecture review
  • AI discovery & search advisory

A research-led
early-stage venture.

Ontologie Labs is an early-stage venture exploring the structured intelligence layer that makes inventory computable and legible for the agentic commerce era.

The work is grounded in first-hand experience with the gap between how merchants describe products and how machines — and now agents — interpret them. We are in active proof-of-concept development and interested in early conversations with merchants, platforms, and investors who are thinking about this transition.

Founder bio →

"The retailer's moat may shift from owning discovery to knowing the inventory."

Sri-G Madhvanath · Founder CEO, Ontologie Labs

Recent Talk

Retail Discovery: From Storefront to Agent

Center for Retail Innovation & Strategy Excellence (RISE), UT Dallas — March 2026

Writing on
agentic commerce.

Published at nandi.blog

Ontologie

Interested in the
agentic shift?

Whether you're a merchant thinking about agentic commerce readiness, a platform exploring protocol strategy, or an investor interested in what we're building — we'd like to hear from you.

srig@ontologielabs.com