Figure ist ein KI-Robotik-Unternehmen, das humanoide Allzweckroboter entwickelt. Sein Flaggschiff-Roboter, Figure 02, ist darauf ausgelegt, an der Seite von Menschen zu arbeiten und den Arbeitskräftemangel in der Fertigung, Logistik und Lagerhaltung zu beheben. Durch die Kombination einer menschenähnlichen Form mit fortschrittlicher KI zielt Figure darauf ab, Roboter zu schaffen, die eine Vielzahl von Aufgaben autonom in für Menschen geschaffenen Umgebungen ausführen können.
kscale von K-Scale Labs ist eine Open-Source, Full-Stack-Humanoide-Roboterplattform, der K-Bot, die für Entwickler und Forscher konzipiert wurde. Ziel ist es, die Einführung von Allzweckrobotern zu beschleunigen, indem ein zugängliches, modulares und von der Community getragenes Hardware- und Software-Ökosystem für die Erstellung und den Einsatz von verkörperter KI bereitgestellt wird.
Produktübersicht
Figure Produktübersicht
Figure ist ein KI-Robotik-Unternehmen, das humanoide Allzweckroboter entwickelt. Sein Flaggschiff-Roboter, Figure 02, ist darauf ausgelegt, an der Seite von Menschen zu arbeiten und den Arbeitskräftemangel in der Fertigung, Logistik und Lagerhaltung zu beheben. Durch die Kombination einer menschenähnlichen Form mit fortschrittlicher KI zielt Figure darauf ab, Roboter zu schaffen, die eine Vielzahl von Aufgaben autonom in für Menschen geschaffenen Umgebungen ausführen können.
kscale Produktübersicht
kscale von K-Scale Labs ist eine Open-Source, Full-Stack-Humanoide-Roboterplattform, der K-Bot, die für Entwickler und Forscher konzipiert wurde. Ziel ist es, die Einführung von Allzweckrobotern zu beschleunigen, indem ein zugängliches, modulares und von der Community getragenes Hardware- und Software-Ökosystem für die Erstellung und den Einsatz von verkörperter KI bereitgestellt wird.
Detailed feature comparison
| Feature | Figure | kscale |
|---|---|---|
| Hauptkategorie | Verkörperte KI | Hardware |
| Hinzugefügt | 2025-08-13 | 2025-08-14 |
| Preismodell | Kostenpflichtig | Kostenpflichtig |
| Offizielle Website | www.figure.ai | www.kscale.dev |
| Produkttyp | Website | Website |
| Performance data | ||
| Nutzerbewertung | Nicht verifiziert | Nicht verifiziert |
| Kommentare | 0 | 0 |
| Monatliche Besuche | 389.2K | 5.9K |
| Monatliches Wachstum | 46.3% | -2.5% |
| Favoriten | 97 | 106 |
| Details | Details ansehen | Details ansehen |
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 Monatliche Besuche
- 2026/1: 311.7K Monatliche Besuche
- 2026/2: 262.1K Monatliche Besuche
- 2026/3: 348.9K Monatliche Besuche
- 2026/4: 266K Monatliche Besuche
- 2026/5: 389.2K Monatliche Besuche
Top-Regionen
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-Quellen
| Source type | Percentage | Traffic |
|---|---|---|
| Direkt | 80.8% | 314.5K |
| Verweis | 18.95% | 73.8K |
| 0.25% | 973 |
Suchbegriffe
kscale monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 41.5K Monatliche Besuche
- 2026/1: 12.3K Monatliche Besuche
- 2026/2: 6K Monatliche Besuche
- 2026/3: 6K Monatliche Besuche
- 2026/4: 6.1K Monatliche Besuche
- 2026/5: 5.9K Monatliche Besuche
Top-Regionen
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 |
Suchbegriffe
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 “Verkörperte KI”, 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: Verkörperte KI; kscale: Hardware); Monthly visits (Figure: 389.2K; kscale: 5.9K); Monthly growth (Figure: 46.3%; kscale: -2.5%); Favorites (Figure: 97; kscale: 106); 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: Humanoide Roboter; shared tags: Verkörperte KI, humanoider Roboter und Robotik. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Figure's unique categories/tags are Verkörperte KI, Industrielle Automatisierung, künstliche Intelligenz, Automatisierung, Mehrzweckroboter, Arbeitskräftemangel, Logistik und Fertigung; kscale's are Hardware, Forschung, KI-Hardware, Entwicklerplattform, Bildung, Open Source, Reinforcement Learning und VLA. 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, 97 favorites, and 107 likes;kscale has no verified rating, 0 comments, 106 favorites, and 108 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 “Verkörperte KI” and especially Verkörperte KI, Industrielle Automatisierung, künstliche Intelligenz, Automatisierung, Mehrzweckroboter und Arbeitskräftemangel. 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, Forschung, KI-Hardware, Entwicklerplattform, Bildung und 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.




