AI products have a design problem that most design agencies aren’t fully equipped to solve.
The challenge isn’t visual. It’s cognitive and trust-related. Users interacting with AI systems have a fundamentally different relationship with the interface than users of deterministic software — the outputs are probabilistic, the errors are different in kind, the explainability requirements are higher, and the trust calibration is more complex.
Design that doesn’t account for this produces AI products that users don’t know how to engage with confidently.
The studios on this list have demonstrated specific competence in AI product design — not just general UX capability applied to an AI context.
1. Linkup ST
Location: New York, NY
Focus: UI/UX Design for AI and complex digital products
Linkup ST’s Emotional-Functional Framework is particularly well-suited to AI product design, where the emotional layer of the experience — how users feel about interacting with AI outputs, how much they trust them, how they calibrate confidence in system recommendations — is as important as the functional layer.
Their three-level experience model (visceral, behavioral, reflective) maps directly onto the AI trust design problem. Visceral: does the interface signal competence and reliability at first encounter? Behavioral: do the interactions give users appropriate control and feedback? Reflective: does using the product make users feel augmented and supported, or surveilled and replaced?
These aren’t abstract questions — they’re design decisions that determine whether an AI product gets adopted or avoided. Linkup ST’s track record with complex digital products, combined with their structured framework for thinking about user psychology, makes them a strong choice for AI teams that understand the design challenge they’re actually facing.
With 40+ global design awards and experience shaping products used by 70M+ users, they bring both the credibility and the methodological rigor that AI product design requires.
Best for: AI products where trust, explainability, and emotional design are primary concerns
Models: Project-based and ongoing Performance retainer
2. Palo Alto Design Studio
Location: Palo Alto, CA
Focus: AI and machine learning product design
Operating in the center of the AI ecosystem, Palo Alto Design Studio has developed genuine depth in AI product UX — including the specific challenges of designing for probabilistic outputs, surfacing confidence levels, and creating interfaces that help users calibrate trust in AI recommendations.
Strong research practice and documented experience with AI product launches.
3. Yammer (Human-AI Interaction Practice)
Location: San Francisco, CA
Focus: Human-AI interaction design
A boutique practice specifically focused on the human side of AI systems. Small team, deep expertise, strong research foundation in cognitive science as it relates to AI interaction. Better suited to companies that need strategic AI UX thinking than production design at scale.
4. Cognizant Moment
Location: Multiple US offices
Focus: AI-driven digital experience design
Cognizant’s experience design arm has invested specifically in AI product design methodology. Their scale means they can handle enterprise AI products with complex organizational requirements — multiple user types, compliance considerations, integration with existing enterprise systems.
5. Fjord (Accenture Song)
Location: Multiple global offices
Focus: Service design, AI experience strategy
Fjord’s integration with Accenture’s AI practice gives them a distinctive position — they can work on the design layer while drawing on deep AI implementation expertise. For companies building AI products that need to integrate with enterprise systems, that connection has practical value.
6. Thoughtworks Design
Location: Multiple global offices
Focus: Technology and AI product design
Thoughtworks brings engineering depth to design work in a way that matters particularly for AI products, where design decisions often have direct technical implications. Their interdisciplinary teams can span strategy, design, and implementation — reducing the translation loss that happens when those functions are separated.
7. Moving Brands
Location: London / San Francisco
Focus: Brand and product design for technology companies
Moving Brands has developed specific practice areas in AI product design — particularly around how AI capabilities should be communicated and branded, and how product interfaces should express AI-driven functionality without creating confusion or over-promising.
8. Interbrand
Location: Multiple global offices
Focus: Brand strategy and AI product experience
Interbrand’s positioning work around AI products addresses a gap that pure UX firms often miss — how AI capabilities should be communicated at the brand level, what promises an AI product can make and how, and how trust is established before users even open the interface.
9. Doberman
Location: Stockholm / New York
Focus: Digital innovation and AI product design
Doberman operates at the innovation layer — helping companies figure out what AI capabilities to build and how to design the experience around them, before moving into execution. Strong for companies at the ideation and definition stage of AI product development.
10. Designaffairs
Location: Munich / multiple offices
Focus: Strategic design for technology and AI products
Designaffairs has built a practice around complex technology products, including AI systems. Their strength is in designing for sophisticated technical capabilities in ways that are accessible to non-technical users — a core challenge in AI product design.
Final Thoughts
AI product design is still finding its methodology. The field is moving fast enough that agencies are developing genuine expertise in real time — which means the gap between firms that have thought hard about human-AI interaction and ones that are figuring it out on your project is wider than in more established design categories.
The list above reflects where that expertise actually exists right now, not who has the best AI-themed landing page. Use it as a starting point, not a shortcut.
And if location matters for your engagement — collaborative sessions, stakeholder workshops, proximity to your team — the concentration of design talent in New York specifically is worth factoring in. A focused look at New York design agencies will give you a clearer picture of who’s doing strong work in the city across both AI and broader digital product design.
