Best Product Design Agencies

Frog vs Fantasy: full comparison for 2026

Quick verdict

Fantasy (3.8/5) edges ahead of Frog (3.7/5) overall. Fantasy is the better choice for enterprises designing AI products, independent senior studio. Frog is the stronger option for enterprises needing digital plus physical product design. The right choice depends on your project size, budget, and required tech stack.

Frog vs Fantasy: head-to-head summary

Criterion Frog Fantasy
Founded 1969 1999
HQ San Francisco, CA, USA San Francisco, CA, USA (also New York, NY)
Team size 2,000+ Not published
Rating 3.7 / 5 3.8 / 5
Primary differentiator Designs physical hardware (IoT, automotive, medical devices) and the software on it within one team, a pairing most firms on this list dropped years ago Independently owned for 25+ years, with recent enterprise AI platform work for BNY and Salesforce
Pricing model Project-based, enterprise consulting engagements Project-based (not published)
Min. engagement Not published Not published
Primary tech stack Figma, Adobe Creative Suite, Miro Figma, Adobe Creative Suite, Miro
Industries served Enterprise transformation, Consumer products, Healthcare Consumer products, Enterprise transformation, Automotive & mobility

Frog vs Fantasy: overview

Frog

frog started in Germany in 1969 as Esslinger Design and moved through Aricent and Altran before Capgemini folded it into Capgemini Invent. Capgemini then merged Fahrenheit 212, Idean, and June21 into the frog brand, which puts the practice at roughly 2,000 people across 35 studios. Physical product work is what separates it here. frog still designs IoT devices, car interiors, and medical hardware alongside the software that runs on them, and very few firms on this page can say the same. No restructuring or leadership news specific to frog had surfaced as of November 2026.

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: Frog vs Fantasy

Capability Frog Fantasy
Product design ✓ ✓
UX research ✓ ✓
Branding ✗ ✓
Web development ✗ ✗
Mobile development ✗ ✗
Design systems ✓ ✗

Tech stack comparison: Frog vs Fantasy

Framework / platform Frog Fantasy
Figma ✓ ✓
Webflow N/A N/A
React N/A N/A
Framer N/A ✓
Adobe Creative Suite ✓ ✓
Design systems/Storybook ✓ N/A
After Effects N/A N/A

Pricing comparison: Frog vs Fantasy

Criterion Frog 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: Frog vs Fantasy

Dimension Frog Fantasy
Best company size Startup to mid-market Startup to mid-market
Best industries Enterprise transformation, Consumer products, Healthcare Consumer products, Enterprise transformation, Automotive & mobility
Best use cases Connected hardware and IoT product design, Automotive or smart-home interface design 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

Frog vs Fantasy: pros and cons

Frog
+ Hardware-plus-software design across IoT, automotive, and medical devices
+ 35 studios give genuine multi-region coverage for global programs
+ Five decades of design history to pull case studies from
+ Capgemini Invent's technology consultants are available when a project grows past design
- You're hiring a Capgemini Invent brand, and procurement will treat it like one
- Several absorbed agencies (Fahrenheit 212, Idean, June21) now share the name, so team continuity between projects can vary
- Consulting-firm overhead slows small, fast projects compared with a boutique
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 Frog?

A typical fit: connected hardware and IoT product design.

Designs physical hardware (IoT, automotive, medical devices) and the software on it within one team, a pairing most firms on this list dropped years ago. Minimum engagement starts at Not published. Works best with clients in Enterprise transformation, Consumer products, Healthcare.

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: Frog vs Fantasy

Your situation Recommended choice
You need full-ownership delivery on a defined project scope Frog
You need a large dedicated team for an ongoing programme Check each company's engagement model
Your budget is at the lower end Compare: Frog (Not published) vs Fantasy (Not published)
You need specialist depth in a specific vertical Frog
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: Frog vs Fantasy

Use case Frog fit Fantasy fit Winner
Connected hardware and IoT product design Strong Strong Both equally
Automotive or smart-home interface design Strong Strong Both equally
Consumer product design for an established or legacy-adjacent brand Limited Strong Fantasy
AI feature design layered onto an existing product Limited Strong Fantasy
Fixed-price product build Limited Limited Both equally
Dedicated design team augmentation Limited Limited Both equally

Verdict: Frog vs Fantasy

Fantasy (3.8/5) is the stronger overall choice for most Product Design projects. Independently owned for 25+ years, with recent enterprise AI platform work for BNY and Salesforce.

Frog (3.7/5) is worth a look if you need automotive or smart-home interface design. If your situation matches that, Frog is a competitive option.

Related comparisons

Frog vs Fantasy FAQ

Is Frog better than Fantasy?

Fantasy (3.8/5) scores higher overall, but "better" depends on your use case. Frog's strongest advantage: hardware-plus-software design across IoT, automotive, and medical devices. Fantasy's strongest advantage: independently owned since 1999, so there's no holding-company layer between you and the studio.

How do Frog and Fantasy differ in pricing?

Frog uses project-based, enterprise consulting engagements 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: Frog or Fantasy?

Frog 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 Frog and Fantasy?

Frog's primary differentiator is: designs physical hardware (IoT, automotive, medical devices) and the software on it within one team, a pairing most firms on this list dropped years ago. 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.