AI Product Design Agencies
Rank 3 / rated 2026-09-04

Huge

The enterprise choice for a visible AI product involving major technology partners, content, data, and brand systems.

9.0

Fit for this rating

Best for: global companies launching conversational or generative AI experiences across large customer bases

Not the right fit for: an early startup that needs a compact specialist team and simple commercial structure

Huge's OLI work for NBCUniversal is a detailed public example of an AI viewing guide built with Google Cloud. The company also publishes thinking about AI quality and evaluation, giving buyers evidence for both interface delivery and the problem of measuring model usefulness.

Five dimension scores

Shipped AI product evidence10.0OLI is a prominent, named enterprise AI product with clear delivery partners and purpose.
AI workflow and interaction depth9.0Conversational discovery is handled as a real content and customer journey.
Trust, control, and evaluation9.0Published evaluation thinking moves beyond output quality alone.
Research and adoption9.0Experience research and customer behaviour are part of the wider product practice.
Technical credibility and source quality8.0The primary case is strong; detailed outside corroboration of the exact delivery process is limited.

Enterprise AI evidence

The OLI case has the ingredients missing from many agency AI claims: a named customer, a user job, technology partners, content constraints, and a product experience. Huge's evaluation article also recognises that an AI system can produce acceptable outputs and still fail at user value or adoption.

The operating model is built for scale. Smaller teams should ask whether they need the wider network, while enterprise buyers should identify the exact product, data, and model-evaluation leads in the proposal.

NBCUniversal OLI AI viewing-guide caseHuge article on evaluating AI beyond quality

Rating history

Initial AI rating at 9.0. Shipped enterprise evidence is excellent; source breadth outside Huge's own publication is more limited.