Intelligent
Systems
We balance the best of machine intelligence with human judgment.
What we do
We design and build AI products that reach real people, hold up in daily use, and earn their trust.
An intelligent system uses AI to interpret information, generate responses, or take action inside a product or workflow. Fantasy finds the use case worth building, designs how people work with it, and engineers it into a live product with one senior team.
AI Product Strategy & Use Case Definition
We help organizations define, envision, and deploy the use cases worth building, shaping what AI-native interaction looks and feels like.
Multi-modal Interfaces
We create experiences that blend voice, touch, vision, and language to support how people naturally want to interact.
Agentic Interfaces
We design interfaces where AI agents act on people's behalf, with clear points to review, approve, or change each step.
Generative Experiences
We design products where AI creates in real time, from music to travel plans, using motion and visual cues that show the system at work.
From proof-of-concept to product at scale.
AI products behave differently from the software before them. We design for shifting outputs and varying confidence, so people can see what the system knows and when to step in.
Where the model ends and the experience begins.
Strategy & Research
We test how people respond to AI, including where they trust it and where they want control.
We decide where the intelligent system fits in the product and what it should do first.
We find the use case worth building and decide where human judgment stays in charge.
Design
We design how people ask, review, and act on what the system gives them.
We build AI-native design systems that both teams and AI coding tools can work from.
We use motion and interaction to make AI responses easier to follow.
We design conversational assistants and agents that seamlessly extend and personify brands.
We put working AI prototypes in front of people early, before a full build.
Engineering
We build the web and mobile apps people use to work with the system.
We connect models, agents, and data to production products, with disclosure, oversight, and override built in.
Launch & Scale
We take AI products live, ready for real users from day one.
We track how the system performs after launch and improve it as models and usage change.
AI built for the way each industry makes decisions.
Each one has its own data, risks, and rules. See what our AI products changed for clients.
Wearables
We turn what a wearable senses into advice someone can act on.
Enterprise & SaaS
We build AI assistants and agents into the tools enterprise teams already use.
Travel
We design AI that plans trips with people and adjusts as their plans change.
Retail
We design AI shopping assistants that help people find what fits, not just what's in stock.
Mobility
We put AI in the vehicle that helps drivers and passengers without pulling their attention.
Spatial
We design AI that understands the space around people and responds to where they are.
Robotics
We design how people direct, check, and trust robots that act on their own.
Healthcare
We help people make sense of complex health information with AI, keeping a person in charge.
Entertainment
We build generative products that help creators make new work and audiences find it.
Sports
We use AI to personalize live sport, so each fan sees the moments they care about.
Financial Services
We design AI for regulated work, with oversight and a clear audit trail built in.
Consumer Products
We give products an AI assistant that helps people choose, set up, and use them at home.
Fantasy have delivered a next-generation experience with AI. It's both redefined our business and standards for the art world. Craig Hepburn - CDO, Art Basel
Questions
AI strategy, AI assistants and agents, AI and LLM integration, and prototyping, plus the research, design, and engineering that carry a system into production. The mix depends on whether the work starts with an open question, an existing model, or a product ready to scale.
Art Basel's AI-powered app launched at Art Basel Miami Beach to more than 75,000 attendees, and its AI Liaison answered more than 30,000 questions during the event. For BNY, Fantasy shaped the vision for Eliza and built the AI-native design system behind it. For Priceline, Penny was already serving more than 3 million travelers when Fantasy gave the AI travel assistant a new visual and motion identity in eight weeks.
Yes, and that is often where we start. Most AI projects that fail picked the wrong problem, so the first job is narrowing to the use case worth building and testing the riskiest assumptions before a full build.
In the interface. What the system discloses, how it shows confidence, when a person can take over, and how a decision can be traced back are choices made during design and build.
Yes. Eliza is BNY's enterprise AI platform for relationship managers, operations leaders, and executives. BNY reports that 20,000 employees now build AI agents on Eliza, across more than 125 live use cases. Fantasy delivered a coded design system with more than 60 production-ready components that BNY's own team now extends.