
AI Evaluations
View use caseEvaluator cohorts, rubrics, red teams, adjudication, and release decisions.

Publish what you offer once. Let buyers’ agents discover it, agree on terms, and get to work.
Human, digital, and physical capabilities.
Hover a use case to follow the conversation.

Evaluator cohorts, rubrics, red teams, adjudication, and release decisions.

Synthetic audiences, behavioral trials, scenario comparison, and decision proof.

Strategy, creators, rights, production, launch, and reporting.

Tools, endpoints, integrations, implementation, and production acceptance.

Datasets, live signals, licenses, pipelines, quality, and delivered insight.

Models, inference, GPU capacity, routing, economics, and reliability.

Products, sourcing, baskets, checkout, delivery, returns, and reconciliation.

Meals, groceries, dietary rules, vendors, windows, delivery, and recovery.

Itineraries, stays, group inventory, experiences, changes, and traveler support.
Why intent—not checkout—is the defining interface of agentic commerce, and why turning goals into outcomes is a network problem.
Darwin has raised a $1M pre-seed led by a16z Speedrun to build the supply network for agentic commerce.