Figure is an AI robotics company developing general-purpose humanoid robots. Its flagship robot, Figure 02, is designed to work alongside humans, addressing labor shortages in manufacturing, logistics, and warehousing. By combining a human-like form with advanced AI, Figure aims to create robots that can perform a wide variety of tasks autonomously in environments built for people.
kscale by K-Scale Labs is an open-source, full-stack humanoid robot platform, K-Bot, designed for developers and researchers. It aims to accelerate the adoption of general-purpose robots by providing an accessible, modular, and community-driven hardware and software ecosystem for building and deploying embodied AI.
Product overview
Figure Product overview
Figure is an AI robotics company developing general-purpose humanoid robots. Its flagship robot, Figure 02, is designed to work alongside humans, addressing labor shortages in manufacturing, logistics, and warehousing. By combining a human-like form with advanced AI, Figure aims to create robots that can perform a wide variety of tasks autonomously in environments built for people.
kscale Product overview
kscale by K-Scale Labs is an open-source, full-stack humanoid robot platform, K-Bot, designed for developers and researchers. It aims to accelerate the adoption of general-purpose robots by providing an accessible, modular, and community-driven hardware and software ecosystem for building and deploying embodied AI.
Detailed feature comparison
| Feature | Figure | kscale |
|---|---|---|
| Primary category | Embodied Ai | Hardware |
| Added | 2025-08-13 | 2025-08-14 |
| Pricing | Paid | Paid |
| Official website | www.figure.ai | www.kscale.dev |
| Product type | Website | Website |
| Performance data | ||
| User rating | Not verified | Not verified |
| Comments | 0 | 0 |
| Monthly visits | 389.2K | 5.9K |
| Monthly growth | 46.3% | -2.5% |
| Favorites | 101 | 107 |
| Details | View details | View details |
Figure vs kscale monthly traffic
Compare Figure and kscale by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Figure vs kscale monthly traffic comparison, Figure currently shows 389.2K visits and kscale shows 5.9K; Figure has about 65.7 times the visible traffic of kscale, an absolute difference of about 383.3K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
Figure monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 293.1K Monthly visits
- 2026/1: 311.7K Monthly visits
- 2026/2: 262.1K Monthly visits
- 2026/3: 348.9K Monthly visits
- 2026/4: 266K Monthly visits
- 2026/5: 389.2K Monthly visits
Top regions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 77.96% | 303.4K |
| 🇰🇷Korea, Republic of | 7.27% | 28.3K |
| 🇩🇪Germany | 6.27% | 24.4K |
| 🇨🇦Canada | 4.58% | 17.8K |
| 🇪🇸Spain | 3.92% | 15.3K |
Traffic sources
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 80.8% | 314.5K |
| Referral | 18.95% | 73.8K |
| 0.25% | 973 |
Search keywords
kscale monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 41.5K Monthly visits
- 2026/1: 12.3K Monthly visits
- 2026/2: 6K Monthly visits
- 2026/3: 6K Monthly visits
- 2026/4: 6.1K Monthly visits
- 2026/5: 5.9K Monthly visits
Top regions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 61.2% | 3.6K |
| 🇻🇳Vietnam | 29.7% | 1.8K |
| 🇮🇳India | 5.18% | 307 |
| 🇩🇪Germany | 2.17% | 129 |
| 🇨🇦Canada | 1.75% | 104 |
Search keywords
Usage comparison
Compare the core capabilities of Figure and kscale
Figure Core features
kscale Core features
Use cases
Figure Use cases
kscale Use cases
Figure vs kscale:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Figure vs kscale comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Figure is primarily listed under “Embodied Ai”, while kscale is primarily listed under “Hardware”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Figure: Embodied Ai; kscale: Hardware); Monthly visits (Figure: 389.2K; kscale: 5.9K); Monthly growth (Figure: 46.3%; kscale: -2.5%); Favorites (Figure: 101; kscale: 107); Website (Figure: www.figure.ai; kscale: www.kscale.dev). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Figure vs kscale monthly traffic comparison, Figure currently shows 389.2K visits and kscale shows 5.9K; Figure has about 65.7 times the visible traffic of kscale, an absolute difference of about 383.3K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
If public market visibility is an important first-pass criterion, investigate Figure first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.
Product positioning, use cases, and roles
Figure and kscale currently overlap in shared categories: Humanoid Robots; shared tags: embodied AI, humanoid robot, and robotics. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Figure's unique categories/tags are Embodied Ai, Industrial Automation, artificial intelligence, automation, general purpose robot, labor shortage, logistics, and manufacturing; kscale's are Hardware, Research, AI hardware, developer platform, education, open source, reinforcement learning, and research. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
What ratings, comments, and favorites can tell you
Figure has no verified rating, 0 comments, 101 favorites, and 112 likes;kscale has no verified rating, 0 comments, 107 favorites, and 110 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Figure first
Put Figure on the priority trial list when the task aligns with “Embodied Ai” and especially Embodied Ai, Industrial Automation, artificial intelligence, automation, general purpose robot, and labor shortage. This follows recorded positioning and does not imply unlisted capabilities are absent.
Figure also currently records: pricing is paid, product type is website, 389.2K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
When to evaluate kscale first
Put kscale on the priority trial list when the task aligns with “Hardware” and especially Hardware, Research, AI hardware, developer platform, education, and open source. This follows recorded positioning and does not imply unlisted capabilities are absent.
kscale also currently records: pricing is paid, product type is website, 5.9K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
How to validate the recommendation before deciding
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Figure and kscale, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.
Comparison FAQ
How should I choose between Figure and kscale?
Where does this comparison data come from?
What do unknown fields mean?
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