Deeplocal vs The Gradient: full comparison for 2026
Quick verdict
The Gradient (4.1/5) edges ahead of Deeplocal (3.9/5) overall. The Gradient is the better choice for Fintech, healthcare, retail — AI-native, limited roster. Deeplocal is the stronger option for brands needing working hardware prototypes, not just software. The right choice depends on your project size, budget, and required tech stack.
Deeplocal vs The Gradient: head-to-head summary
| Criterion | Deeplocal | The Gradient |
|---|---|---|
| Founded | 2006 | 2016 |
| HQ | Pittsburgh, PA, USA | Lviv, Ukraine |
| Team size | ~75 | 11–50 |
| Rating | 3.9 / 5 | 4.1 / 5 |
| Primary differentiator | A Carnegie Mellon-spinoff studio that engineers and builds working hardware prototypes in-house, not just software mockups | A deliberately small, AI-native company with a notable client list (Qatar Airways, Philips, Daimler AG) unusual for its self-limited scale |
| Pricing model | Project-based (not published) | Fixed project, retainer |
| Min. engagement | Not published | Not published |
| Primary tech stack | Figma, React, Arduino/embedded systems | Figma, Adobe Creative Suite, Design systems/Storybook |
| Industries served | Consumer products, Enterprise transformation, Automotive & mobility | Financial services / fintech, Healthcare, E-commerce / retail |
Deeplocal vs The Gradient: overview
Deeplocal
Deeplocal spun out of Carnegie Mellon University in Pittsburgh in 2006, building a studio around robotics, hardware development, electrical engineering, and industrial design alongside standard software and creative work. WPP Digital acquired the studio in 2017. At around 75 people, Deeplocal does most of its prototyping and production in-house, which shows up in a client list — Google, Netflix, Airbnb, Lyft, Nike, Toyota, Volkswagen, PNC Bank — that regularly asks for physical, working prototypes rather than mockups.
The Gradient
The Gradient doesn't publish a confirmed founding year, though its 55 Clutch reviews imply several years of delivery history; 2016 is used here as an estimate consistent with that track record. Based in Lviv, Ukraine, the company keeps itself intentionally small — 11–50 people — a self-imposed cap it frames as necessary to keep senior attention on every engagement instead of scaling into account-management layers. Client names include Qatar Airways, Philips, Daimler AG, and Dubai Financial Market, an unusually strong list for a company operating at this size, built around an explicitly AI-native design practice.
Services and capabilities: Deeplocal vs The Gradient
| Capability | Deeplocal | The Gradient |
|---|---|---|
| Product design | ✓ | ✓ |
| UX research | ✗ | ✓ |
| Branding | ✗ | ✗ |
| Web development | ✓ | ✗ |
| Mobile development | ✗ | ✗ |
| Design systems | ✗ | ✗ |
Tech stack comparison: Deeplocal vs The Gradient
| Framework / platform | Deeplocal | The Gradient |
|---|---|---|
| Figma | ✓ | ✓ |
| Webflow | N/A | N/A |
| React | ✓ | 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: Deeplocal vs The Gradient
| Criterion | Deeplocal | The Gradient |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Fixed project, Dedicated team | Fixed project, Retainer |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Deeplocal vs The Gradient
| Dimension | Deeplocal | The Gradient |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Consumer products, Enterprise transformation, Automotive & mobility | Financial services / fintech, Healthcare, E-commerce / retail |
| Best use cases | Connected-hardware or physical prototype design for a brand campaign, Automotive or consumer-electronics product design requiring in-house engineering | AI-native product design for a fintech or healthcare platform, Retail digital product design for an established brand |
| Typical project type | Fixed project | Fixed project |
Deeplocal vs The Gradient: pros and cons
| Deeplocal | |
|---|---|
| + | In-house robotics, electrical engineering, and industrial design capability alongside software and creative work |
| + | Client list (Google, Netflix, Airbnb, Lyft, Nike, Toyota, Volkswagen, PNC Bank) spans tech, consumer, and automotive |
| + | WPP Digital backing since 2017 provides access to a larger global network when needed |
| + | Two decades of continuous operation since its 2006 Carnegie Mellon spinout |
| - | A ~75-person team caps capacity for very large, multi-workstream programs |
| - | Hardware-and-prototype focus is a narrower fit for clients needing pure software UI/UX work |
| - | Pricing and minimum engagement size aren't published |
| The Gradient | |
|---|---|
| + | Notable client list (Qatar Airways, Philips, Daimler AG, Dubai Financial Market) is strong for a deliberately small company |
| + | AI-native positioning is a genuine differentiator versus generalist product design shops |
| + | Deliberately limits its client roster, which the company frames as preserving senior attention per project |
| + | 55 Clutch reviews imply a substantial track record despite the unconfirmed founding year |
| - | Founding year is not confirmed in available sources beyond an implied multi-year track record |
| - | Deliberately small team (11–50) by design limits capacity for very large or multi-workstream programs |
| - | Minimum engagement is not published, requiring a direct conversation for budget planning |
Who should choose Deeplocal?
A typical fit: connected-hardware or physical prototype design for a brand campaign.
A Carnegie Mellon-spinoff studio that engineers and builds working hardware prototypes in-house, not just software mockups. Minimum engagement starts at Not published. Works best with clients in Consumer products, Enterprise transformation, Automotive & mobility.
Who should choose The Gradient?
A typical fit: AI-native product design for a fintech or healthcare platform.
A deliberately small, AI-native company with a notable client list (Qatar Airways, Philips, Daimler AG) unusual for its self-limited scale. Minimum engagement starts at Not published. Works best with clients in Financial services / fintech, Healthcare, E-commerce / retail.
Decision matrix: Deeplocal vs The Gradient
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Deeplocal |
| You need a large dedicated team for an ongoing programme | Deeplocal |
| Your budget is at the lower end | Compare: Deeplocal (Not published) vs The Gradient (Not published) |
| You need specialist depth in a specific vertical | Deeplocal |
| 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: Deeplocal vs The Gradient
| Use case | Deeplocal fit | The Gradient fit | Winner |
|---|---|---|---|
| Connected-hardware or physical prototype design for a brand campaign | Strong | Limited | Deeplocal |
| Automotive or consumer-electronics product design requiring in-house engineering | Strong | Limited | Deeplocal |
| AI-native product design for a fintech or healthcare platform | Limited | Strong | The Gradient |
| Retail digital product design for an established brand | Limited | Strong | The Gradient |
| Fixed-price product build | Limited | Limited | Both equally |
| Dedicated design team augmentation | Limited | Limited | Both equally |
Verdict: Deeplocal vs The Gradient
The Gradient (4.1/5) is the stronger overall choice for most Product Design projects. A deliberately small, AI-native company with a notable client list (Qatar Airways, Philips, Daimler AG) unusual for its self-limited scale.
Deeplocal (3.9/5) is worth a look if you need automotive or consumer-electronics product design requiring in-house engineering. If your situation matches that, Deeplocal is a competitive option.
Related comparisons
Deeplocal vs The Gradient FAQ
Is Deeplocal better than The Gradient?
The Gradient (4.1/5) scores higher overall, but "better" depends on your use case. Deeplocal's strongest advantage: in-house robotics, electrical engineering, and industrial design capability alongside software and creative work. The Gradient's strongest advantage: notable client list (Qatar Airways, Philips, Daimler AG, Dubai Financial Market) is strong for a deliberately small company.
How do Deeplocal and The Gradient differ in pricing?
Deeplocal uses project-based (not published) pricing with a minimum engagement of Not published. The Gradient uses fixed project, retainer 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: Deeplocal or The Gradient?
The Gradient 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 Deeplocal and The Gradient?
Deeplocal's primary differentiator is: a Carnegie Mellon-spinoff studio that engineers and builds working hardware prototypes in-house, not just software mockups. The Gradient's primary differentiator is: a deliberately small, AI-native company with a notable client list (Qatar Airways, Philips, Daimler AG) unusual for its self-limited scale. They also differ in team size (~75 vs 11–50), minimum engagement (Not published vs Not published), and primary industries served (Consumer products, Enterprise transformation vs Financial services / fintech, Healthcare).
Verify all details directly with each company before making a decision.