MetaLab vs Deeplocal: full comparison for 2026
Quick verdict
MetaLab (4.0/5) edges ahead of Deeplocal (3.9/5) overall. MetaLab is the better choice for funded SaaS/fintech companies, full-stack design partner. 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.
MetaLab vs Deeplocal: head-to-head summary
| Criterion | MetaLab | Deeplocal |
|---|---|---|
| Founded | 2006 | 2006 |
| HQ | Victoria, British Columbia, Canada (remote-first) | Pittsburgh, PA, USA |
| Team size | 160+ | ~75 |
| Rating | 4.0 / 5 | 3.9 / 5 |
| Primary differentiator | A Slack/Uber/Coinbase/Midjourney-caliber portfolio built by a 160-person studio, delivered full-stack from research through design systems | A Carnegie Mellon-spinoff studio that engineers and builds working hardware prototypes in-house, not just software mockups |
| Pricing model | Fixed project, dedicated team | Project-based (not published) |
| Min. engagement | $150K+ (per industry roundups; independently unverifiable) | Not published |
| Primary tech stack | Figma, Framer, Design systems/Storybook | Figma, React, Arduino/embedded systems |
| Industries served | SaaS / B2B software, Financial services / fintech, Consumer products | Consumer products, Enterprise transformation, Automotive & mobility |
MetaLab vs Deeplocal: overview
MetaLab
Andrew Wilkinson started MetaLab in 2006; since January 2017 it has operated as a subsidiary of his holding company Tiny, worth disclosing since the studio is no longer independently owned. From Victoria, British Columbia, a remote-first team of 160+ people across 17 countries has designed products for Slack, Uber, Coinbase, Robinhood, Nike, Midjourney, and Headspace. Engagements run full-stack — research, strategy, UX, UI, and design systems handled by one team rather than split across vendors.
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.
Services and capabilities: MetaLab vs Deeplocal
| Capability | MetaLab | Deeplocal |
|---|---|---|
| Product design | ✓ | ✓ |
| UX research | ✗ | ✗ |
| Branding | ✓ | ✗ |
| Web development | ✗ | ✓ |
| Mobile development | ✗ | ✗ |
| Design systems | ✓ | ✗ |
Tech stack comparison: MetaLab vs Deeplocal
| Framework / platform | MetaLab | Deeplocal |
|---|---|---|
| Figma | ✓ | ✓ |
| Webflow | ✓ | N/A |
| React | ✓ | ✓ |
| Framer | ✓ | N/A |
| Adobe Creative Suite | N/A | N/A |
| Design systems/Storybook | ✓ | N/A |
| After Effects | N/A | N/A |
Pricing comparison: MetaLab vs Deeplocal
| Criterion | MetaLab | Deeplocal |
|---|---|---|
| Minimum engagement | $150K+ (per industry roundups; independently unverifiable) | Not published |
| Engagement models | Fixed project, Dedicated team | Fixed project, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Mid-market |
Target audience comparison: MetaLab vs Deeplocal
| Dimension | MetaLab | Deeplocal |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS / B2B software, Financial services / fintech, Consumer products | Consumer products, Enterprise transformation, Automotive & mobility |
| Best use cases | SaaS product design from research through design system, Fintech app redesign for a funded startup | Connected-hardware or physical prototype design for a brand campaign, Automotive or consumer-electronics product design requiring in-house engineering |
| Typical project type | Fixed project | Fixed project |
MetaLab vs Deeplocal: pros and cons
| MetaLab | |
|---|---|
| + | Portfolio includes Slack, Uber, Coinbase, Robinhood, and Midjourney — exceptional for a 160-person company |
| + | Remote-first across 17 countries enables round-the-clock delivery coverage |
| + | Full-stack engagement model spans research, strategy, UX, UI, and design systems in one team |
| + | Nearly two decades under the same founding brand |
| - | Became a Tiny subsidiary in 2017 — worth disclosing even though the founding team and brand remain |
| - | Reported $150K+ typical minimum (per industry roundups; independently unverifiable) is out of reach for early-stage startups |
| - | High-profile client roster can mean longer lead times for new engagements |
| 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 |
Who should choose MetaLab?
A typical fit: SaaS product design from research through design system.
A Slack/Uber/Coinbase/Midjourney-caliber portfolio built by a 160-person studio, delivered full-stack from research through design systems. Minimum engagement starts at $150K+ (per industry roundups; independently unverifiable). Works best with clients in SaaS / B2B software, Financial services / fintech, Consumer products.
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.
Decision matrix: MetaLab vs Deeplocal
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | MetaLab |
| You need a large dedicated team for an ongoing programme | MetaLab |
| Your budget is at the lower end | Compare: MetaLab ($150K+ (per industry roundups; independently unverifiable)) vs Deeplocal (Not published) |
| You need specialist depth in a specific vertical | MetaLab |
| 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: MetaLab vs Deeplocal
| Use case | MetaLab fit | Deeplocal fit | Winner |
|---|---|---|---|
| SaaS product design from research through design system | Strong | Limited | MetaLab |
| Fintech app redesign for a funded startup | Strong | Limited | MetaLab |
| Connected-hardware or physical prototype design for a brand campaign | Limited | Strong | Deeplocal |
| Automotive or consumer-electronics product design requiring in-house engineering | Limited | Strong | Deeplocal |
| Fixed-price product build | Limited | Limited | Both equally |
| Dedicated design team augmentation | Limited | Limited | Both equally |
Verdict: MetaLab vs Deeplocal
MetaLab (4.0/5) is the stronger overall choice for most Product Design projects. A Slack/Uber/Coinbase/Midjourney-caliber portfolio built by a 160-person studio, delivered full-stack from research through design systems.
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
MetaLab vs Deeplocal FAQ
Is MetaLab better than Deeplocal?
MetaLab (4.0/5) scores higher overall, but "better" depends on your use case. MetaLab's strongest advantage: portfolio includes Slack, Uber, Coinbase, Robinhood, and Midjourney — exceptional for a 160-person company. Deeplocal's strongest advantage: in-house robotics, electrical engineering, and industrial design capability alongside software and creative work.
How do MetaLab and Deeplocal differ in pricing?
MetaLab uses fixed project, dedicated team pricing with a minimum engagement of $150K+ (per industry roundups; independently unverifiable). Deeplocal 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: MetaLab or Deeplocal?
MetaLab 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 MetaLab and Deeplocal?
MetaLab's primary differentiator is: a Slack/Uber/Coinbase/Midjourney-caliber portfolio built by a 160-person studio, delivered full-stack from research through design systems. Deeplocal's primary differentiator is: a Carnegie Mellon-spinoff studio that engineers and builds working hardware prototypes in-house, not just software mockups. They also differ in team size (160+ vs ~75), minimum engagement ($150K+ (per industry roundups; independently unverifiable) vs Not published), and primary industries served (SaaS / B2B software, Financial services / fintech vs Consumer products, Enterprise transformation).
Verify all details directly with each company before making a decision.