Frog vs ANML: full comparison for 2026
Quick verdict
ANML (3.7/5) edges ahead of Frog (3.6/5) overall. ANML is the better choice for B2B, healthcare, AI startups wanting a small senior team. Frog is the stronger option for enterprises needing digital plus physical/hardware design. The right choice depends on your project size, budget, and required tech stack.
Frog vs ANML: head-to-head summary
| Criterion | Frog | ANML |
|---|---|---|
| Founded | 1969 | 2012 |
| HQ | San Francisco, CA, USA | United States (specific city not published) |
| Team size | 2,000+ | ~10 (per LinkedIn) |
| Rating | 3.6 / 5 | 3.7 / 5 |
| Primary differentiator | Still designs physical hardware (IoT, automotive, medical devices) alongside software, inside Capgemini Invent's enterprise consulting scale | One of the smallest teams in this pool, offering the highest senior-to-client ratio for B2B, healthcare, and AI work |
| Pricing model | Project-based, enterprise consulting engagements | Fixed project |
| Min. engagement | Not published | Not published |
| Primary tech stack | Figma, Adobe Creative Suite, Miro | Figma, Sketch |
| Industries served | Enterprise transformation, Consumer products, Healthcare | Healthcare, SaaS / B2B software |
Frog vs ANML: overview
Frog
Long before Capgemini Invent absorbed it in 2019, frog was Esslinger Design, founded in Germany in 1969, then passed through Aricent and Altran on its way to its current owner. Capgemini has since merged Fahrenheit 212, Idean, and June21 into the same brand, putting headcount around 2,000 across 35 studios worldwide. What frog still does that almost nobody else on this list does: design physical hardware — IoT devices, automotive interiors, medical equipment — with the same team that handles the software layer.
ANML
ANML (Animal) has operated since 2012 with a team so small — LinkedIn lists roughly 10 employees — that it barely registers next to the enterprise names in this pool. No specific HQ city appears in available sources, so it's treated here simply as US-based. The trade-off for that scale is direct access: clients work with senior people from day one, on a deliberately narrow set of engagements concentrated in B2B, healthcare, and AI.
Services and capabilities: Frog vs ANML
| Capability | Frog | ANML |
|---|---|---|
| Product design | ✓ | ✓ |
| UX research | ✓ | ✓ |
| Branding | ✗ | ✗ |
| Web development | ✗ | ✗ |
| Mobile development | ✗ | ✗ |
| Design systems | ✓ | ✗ |
Tech stack comparison: Frog vs ANML
| Framework / platform | Frog | ANML |
|---|---|---|
| Figma | ✓ | ✓ |
| Webflow | N/A | N/A |
| React | N/A | N/A |
| Framer | N/A | N/A |
| Adobe Creative Suite | ✓ | N/A |
| Design systems/Storybook | ✓ | N/A |
| After Effects | N/A | N/A |
Pricing comparison: Frog vs ANML
| Criterion | Frog | ANML |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Fixed project, Retainer | Fixed project |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Frog vs ANML
| Dimension | Frog | ANML |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Enterprise transformation, Consumer products, Healthcare | Healthcare, SaaS / B2B software |
| Best use cases | IoT and connected hardware product design, Automotive and smart-home interface design | B2B SaaS product design for a small, senior team, Healthcare product UX with a boutique company |
| Typical project type | Fixed project | Fixed project |
Frog vs ANML: pros and cons
| Frog | |
|---|---|
| + | Rare combined software-plus-physical-hardware design capability in this pool |
| + | 35 global studios support multi-region enterprise programs |
| + | More than five decades of brand history and design case studies |
| + | Access to Capgemini Invent's broader technology-consulting bench |
| - | Operates as a Capgemini Invent brand today, not an independent boutique — worth disclosing to prospective clients |
| - | Absorbed several legacy agencies (Fahrenheit 212, Idean, June21) under one brand, which can mean inconsistent staffing |
| - | Consulting-firm process overhead can slow fast-moving engagements relative to boutique studios |
| ANML | |
|---|---|
| + | 13 years of continuous operation since 2012 |
| + | Very small (~10 person) team means direct access to senior designers on every project |
| + | Focused specifically on B2B, healthcare, and AI rather than spreading across unrelated verticals |
| + | Boutique scale keeps overhead — and likely pricing — lower than mid-size companies |
| - | HQ city is not explicitly published in available sources, making delivery-location verification harder |
| - | A ~10-person team caps capacity for large or multi-workstream programs |
| - | Minimum engagement is not published, so budget planning requires a direct conversation |
Who should choose Frog?
A typical fit: IoT and connected hardware product design.
Still designs physical hardware (IoT, automotive, medical devices) alongside software, inside Capgemini Invent's enterprise consulting scale. Minimum engagement starts at Not published. Works best with clients in Enterprise transformation, Consumer products, Healthcare.
Who should choose ANML?
A typical fit: B2B SaaS product design for a small, senior team.
One of the smallest teams in this pool, offering the highest senior-to-client ratio for B2B, healthcare, and AI work. Minimum engagement starts at Not published. Works best with clients in Healthcare, SaaS / B2B software.
Decision matrix: Frog vs ANML
| 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 ANML (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 ANML
| Use case | Frog fit | ANML fit | Winner |
|---|---|---|---|
| IoT and connected hardware product design | Strong | Limited | Frog |
| Automotive and smart-home interface design | Strong | Limited | Frog |
| B2B SaaS product design for a small, senior team | Limited | Strong | ANML |
| Healthcare product UX with a boutique company | Limited | Strong | ANML |
| Fixed-price product build | Limited | Limited | Both equally |
| Dedicated design team augmentation | Limited | Limited | Both equally |
Verdict: Frog vs ANML
ANML (3.7/5) is the stronger overall choice for most Product Design projects. One of the smallest teams in this pool, offering the highest senior-to-client ratio for B2B, healthcare, and AI work.
Frog (3.6/5) is worth a look if you need automotive and smart-home interface design. If your situation matches that, Frog is a competitive option.
Related comparisons
Frog vs ANML FAQ
Is Frog better than ANML?
ANML (3.7/5) scores higher overall, but "better" depends on your use case. Frog's strongest advantage: rare combined software-plus-physical-hardware design capability in this pool. ANML's strongest advantage: 13 years of continuous operation since 2012.
How do Frog and ANML differ in pricing?
Frog uses project-based, enterprise consulting engagements pricing with a minimum engagement of Not published. ANML uses fixed project 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 ANML?
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 company before shortlisting.
What are the main differences between Frog and ANML?
Frog's primary differentiator is: still designs physical hardware (IoT, automotive, medical devices) alongside software, inside Capgemini Invent's enterprise consulting scale. ANML's primary differentiator is: one of the smallest teams in this pool, offering the highest senior-to-client ratio for B2B, healthcare, and AI work. They also differ in team size (2,000+ vs ~10 (per LinkedIn)), minimum engagement (Not published vs Not published), and primary industries served (Enterprise transformation, Consumer products vs Healthcare, SaaS / B2B software).
Verify all details directly with each company before making a decision.