R/GA vs Fantasy: full comparison for 2026
Quick verdict
R/GA (3.8/5) edges ahead of Fantasy (3.8/5) overall. R/GA is the better choice for large brands that want product design and marketing from one partner. Fantasy is the stronger option for enterprises designing AI products, independent senior studio. The right choice depends on your project size, budget, and required tech stack.
R/GA vs Fantasy: head-to-head summary
| Criterion | R/GA | Fantasy |
|---|---|---|
| Founded | 1977 | 1999 |
| HQ | New York City, NY, USA | San Francisco, CA, USA (also New York, NY) |
| Team size | ~2,000 | Not published |
| Rating | 3.8 / 5 | 3.8 / 5 |
| Primary differentiator | Pairs product design with brand and marketing strategy, and since going independent has been buying and building AI design capability | Independently owned for 25+ years, with recent enterprise AI platform work for BNY and Salesforce |
| Pricing model | Project-based, retainer for ongoing programs | Project-based (not published) |
| Min. engagement | Not published | Not published |
| Primary tech stack | Figma, Adobe Creative Suite, After Effects | Figma, Adobe Creative Suite, Miro |
| Industries served | Enterprise transformation, Consumer products, Media & entertainment | Consumer products, Enterprise transformation, Automotive & mobility |
R/GA vs Fantasy: overview
R/GA
Since buying itself back from Interpublic Group in March 2025, with majority backing from Truelink Capital, R/GA has moved quickly. It set up a $50M innovation fund, launched a global AI products team, and made the first acquisition in its nearly 50-year history: Addition, an AI system design studio. In September 2026 it hired former Google executive Sadie Thoma as its first global chief business officer. The agency has run out of New York since 1977 and now works from ten countries, including Austin, London, São Paulo, Singapore, and Stockholm. Product design still arrives bundled with brand and marketing strategy.
Fantasy
Fantasy, originally Fantasy Interactive, has stayed independent since 1999 while most agencies its age sold to a holding company. Its studios in San Francisco and New York have worked for Nike, Disney, Microsoft, Netflix, Spotify, Ford, Google, and Samsung. What's changed lately is the type of work. LBB Online credits list a Salesforce digital ecosystem redesign in June 2026 and a BNY enterprise AI platform and design system in July 2026, and the studio's own essays now focus on generative software. Team size still isn't published.
Services and capabilities: R/GA vs Fantasy
| Capability | R/GA | Fantasy |
|---|---|---|
| Product design | ✓ | ✓ |
| UX research | ✓ | ✓ |
| Branding | ✓ | ✓ |
| Web development | ✗ | ✗ |
| Mobile development | ✗ | ✗ |
| Design systems | ✗ | ✗ |
Tech stack comparison: R/GA vs Fantasy
| Framework / platform | R/GA | Fantasy |
|---|---|---|
| Figma | ✓ | ✓ |
| Webflow | N/A | N/A |
| React | N/A | N/A |
| Framer | N/A | ✓ |
| Adobe Creative Suite | ✓ | ✓ |
| Design systems/Storybook | N/A | N/A |
| After Effects | ✓ | N/A |
Pricing comparison: R/GA vs Fantasy
| Criterion | R/GA | Fantasy |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Fixed project, Retainer | Fixed project, Retainer |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Mid-market | Mid-market |
Target audience comparison: R/GA vs Fantasy
| Dimension | R/GA | Fantasy |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Enterprise transformation, Consumer products, Media & entertainment | Consumer products, Enterprise transformation, Automotive & mobility |
| Best use cases | Consumer platform redesign tied to a brand relaunch, Enterprise digital product with a marketing or campaign component | Consumer product design for an established or legacy-adjacent brand, AI feature design layered onto an existing product |
| Typical project type | Fixed project | Fixed project |
R/GA vs Fantasy: pros and cons
| R/GA | |
|---|---|
| + | Product design and marketing strategy come from one team, which saves large brands a second vendor |
| + | Acquired AI system design studio Addition, its first acquisition, funded from a $50M innovation fund |
| + | Offices in ten countries across North America, Europe, Latin America, and Asia-Pacific |
| + | Leadership bench keeps growing after the buyout, including a first global chief business officer hired in September 2026 |
| - | Ownership changed in 2025 and the AI products team is new, so ask how much of that capability would touch your project |
| - | Trade-press reports of 25% year-on-year revenue growth in Q1 2026 come from the agency itself |
| - | Marketing-led positioning and large-brand pricing fit early-stage product teams poorly |
| Fantasy | |
|---|---|
| + | Independently owned since 1999, so there's no holding-company layer between you and the studio |
| + | Recent enterprise AI work, including a BNY AI platform and design system credited in July 2026 |
| + | Client history covering Nike, Disney, Microsoft, Netflix, and Spotify |
| + | Offers full-stack engineering alongside research and experience design |
| - | No published team size, so delivery capacity is hard to judge |
| - | Marquee clients suggest enterprise pricing, and no minimum is published |
| - | The AI-platform portfolio is recent, with fewer finished case studies than its older consumer work |
Who should choose R/GA?
A typical fit: consumer platform redesign tied to a brand relaunch.
Pairs product design with brand and marketing strategy, and since going independent has been buying and building AI design capability. Minimum engagement starts at Not published. Works best with clients in Enterprise transformation, Consumer products, Media & entertainment.
Who should choose Fantasy?
A typical fit: consumer product design for an established or legacy-adjacent brand.
Independently owned for 25+ years, with recent enterprise AI platform work for BNY and Salesforce. Minimum engagement starts at Not published. Works best with clients in Consumer products, Enterprise transformation, Automotive & mobility.
Decision matrix: R/GA vs Fantasy
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | R/GA |
| You need a large dedicated team for an ongoing programme | Check each company's engagement model |
| Your budget is at the lower end | Compare: R/GA (Not published) vs Fantasy (Not published) |
| You need specialist depth in a specific vertical | R/GA |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: R/GA vs Fantasy
| Use case | R/GA fit | Fantasy fit | Winner |
|---|---|---|---|
| Consumer platform redesign tied to a brand relaunch | Strong | Strong | Both equally |
| Enterprise digital product with a marketing or campaign component | Strong | Limited | R/GA |
| Consumer product design for an established or legacy-adjacent brand | Strong | Strong | Both equally |
| AI feature design layered onto an existing product | Strong | Strong | Both equally |
| Fixed-price product build | Limited | Limited | Both equally |
| Dedicated design team augmentation | Limited | Limited | Both equally |
Verdict: R/GA vs Fantasy
R/GA (3.8/5) is the stronger overall choice for most Product Design projects. Pairs product design with brand and marketing strategy, and since going independent has been buying and building AI design capability.
Fantasy (3.8/5) is worth a look if you need AI feature design layered onto an existing product. If your situation matches that, Fantasy is a competitive option.
Related comparisons
R/GA vs Fantasy FAQ
Is R/GA better than Fantasy?
R/GA (3.8/5) scores higher overall, but "better" depends on your use case. R/GA's strongest advantage: product design and marketing strategy come from one team, which saves large brands a second vendor. Fantasy's strongest advantage: independently owned since 1999, so there's no holding-company layer between you and the studio.
How do R/GA and Fantasy differ in pricing?
R/GA uses project-based, retainer for ongoing programs pricing with a minimum engagement of Not published. Fantasy uses project-based (not published) pricing with a minimum engagement of Not published. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: R/GA or Fantasy?
R/GA is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each agency before shortlisting.
What are the main differences between R/GA and Fantasy?
R/GA's primary differentiator is: pairs product design with brand and marketing strategy, and since going independent has been buying and building AI design capability. Fantasy's primary differentiator is: independently owned for 25+ years, with recent enterprise AI platform work for BNY and Salesforce. They also differ in team size (~2,000 vs Not published), minimum engagement (Not published vs Not published), and primary industries served (Enterprise transformation, Consumer products vs Consumer products, Enterprise transformation).
Verify all details directly with each agency before making a decision.