Figure
체화된 AI · 389.2K 월 방문
Figure는 범용 휴머노이드 로봇을 개발하는 AI 로봇 공학 회사입니다. 주력 로봇인 Figure 02는 인간과 함께 일하며 제조, 물류 및 창고업의 노동력 부족 문제를 해결하도록 설계되었습니다. 인간과 유사한 형태와 첨단 AI를 결합하여, Figure는 인간을 위해 만들어진 환경에서 다양한 작업을 자율적으로 수행할 수 있는 로봇을 만드는 것을 목표로 합니다.
VS
Xolver
Machine Learning Models · 3.5K 월 방문
Xolver는 로봇 공학을 위한 물리적 지능 플랫폼으로, 파운데이션 모델, 결정론적 시행 계층 및 임베디드 런타임을 제공합니다. 실제 신호를 경계 실행으로 변환하여 안전하고 감사 가능하며 적응형 기계 작동을 가능하게 하며, 복잡한 산업 환경에서 신뢰성을 보장합니다.
제품 개요
Figure 제품 개요
Figure는 범용 휴머노이드 로봇을 개발하는 AI 로봇 공학 회사입니다. 주력 로봇인 Figure 02는 인간과 함께 일하며 제조, 물류 및 창고업의 노동력 부족 문제를 해결하도록 설계되었습니다. 인간과 유사한 형태와 첨단 AI를 결합하여, Figure는 인간을 위해 만들어진 환경에서 다양한 작업을 자율적으로 수행할 수 있는 로봇을 만드는 것을 목표로 합니다.
Preview
Xolver 제품 개요
Xolver는 로봇 공학을 위한 물리적 지능 플랫폼으로, 파운데이션 모델, 결정론적 시행 계층 및 임베디드 런타임을 제공합니다. 실제 신호를 경계 실행으로 변환하여 안전하고 감사 가능하며 적응형 기계 작동을 가능하게 하며, 복잡한 산업 환경에서 신뢰성을 보장합니다.
Preview
Detailed feature comparison
| Feature | Figure | Xolver |
|---|---|---|
| 주요 카테고리 | 체화된 AI | Machine Learning Models |
| 등록일 | 2025-08-13 | 2026-01-06 |
| 가격 | 유료 | 확인되지 않음 |
| 공식 사이트 | www.figure.ai | xolver.ai |
| 제품 유형 | 웹사이트 | 웹사이트 |
| Performance data | ||
| 사용자 평점 | 확인되지 않음 | 확인되지 않음 |
| 댓글 | 0 | 0 |
| 월 방문 | 389.2K | 3.5K |
| 월 성장률 | 46.3% | 확인되지 않음 |
| 즐겨찾기 | 97 | 21 |
| Details | 상세 보기 | 상세 보기 |
Figure vs Xolver monthly traffic
Compare Figure and Xolver by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Figure vs Xolver monthly traffic comparison, Figure currently shows 389.2K visits and Xolver shows 3.5K; Figure has about 112.6 times the visible traffic of Xolver, an absolute difference of about 385.7K visits. This reflects visible reach, not feature quality or paid users.
Only Figure has complete third-party traffic details; Xolver uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
Figure monthly traffic:
Latest traffic
월 방문
389.2K
평균 방문 시간
0:57
방문당 페이지
2.09
이탈률
44.7%
Data updated 2026-06-15
Monthly traffic trend
- 2025/9: 293.1K 월 방문
- 2026/1: 311.7K 월 방문
- 2026/2: 262.1K 월 방문
- 2026/3: 348.9K 월 방문
- 2026/4: 266K 월 방문
- 2026/5: 389.2K 월 방문
주요 지역
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 |
트래픽 소스
| Source type | Percentage | Traffic |
|---|---|---|
| 직접 | 80.8% | 314.5K |
| 리퍼럴 | 18.95% | 73.8K |
| 이메일 | 0.25% | 973 |
검색 키워드
figurefigure 03figure aifigure roboticshelix-02
Xolver monthly traffic:
Latest traffic
월 방문
3.5K
Traffic-based selection guidance: The current traffic scope is not sufficient for a reliable product ranking. Treat monthly visits as a market-interest signal, then decide using taxonomy, use cases, pricing, and a like-for-like trial rather than reading exposure as product capability.
Usage comparison
Compare the core capabilities of Figure and Xolver
Figure Core features
체화된 AI
산업 자동화
휴머노이드 로봇
Xolver Core features
Machine Learning Models
Edge Computing
Process Control
자동화
준수
Use cases
Figure Use cases
자동화
물류
제조
로봇 공학
인공지능
체화된 AI
범용 로봇
휴머노이드 로봇
인력 부족
창고업
Xolver Use cases
자동화
물류
제조
로봇 공학
Auditable AI
자율성
엣지 컴퓨팅
Field Robotics
기반 모델
Industrial Control
Industrial IoT
기계 학습
물리적 AI
Real-time Systems
안전
Best suited roles
Figure Best suited roles
검증된 데이터 없음
Xolver Best suited roles
자동화 엔지니어
최고기술책임자(로봇공학)
엔터프라이즈 운영 리드
현장 운영 매니저
자동화 책임자
생산 엔지니어
플랜트 운영 매니저
로봇공학 OEM
로봇공학 플랫폼 엔지니어
시스템 통합자
Figure vs Xolver：In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Figure vs Xolver comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Figure is primarily listed under “체화된 AI”, while Xolver is primarily listed under “Machine Learning Models”, 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: 체화된 AI; Xolver: Machine Learning Models); Pricing (Figure: Paid; Xolver: Not disclosed); Monthly visits (Figure: 389.2K; Xolver: 3.5K); Favorites (Figure: 97; Xolver: 21); Website (Figure: www.figure.ai; Xolver: xolver.ai). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Figure vs Xolver monthly traffic comparison, Figure currently shows 389.2K visits and Xolver shows 3.5K; Figure has about 112.6 times the visible traffic of Xolver, an absolute difference of about 385.7K visits. This reflects visible reach, not feature quality or paid users.
Only Figure has complete third-party traffic details; Xolver uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
The current traffic scope is not sufficient for a reliable product ranking. Treat monthly visits as a market-interest signal, then decide using taxonomy, use cases, pricing, and a like-for-like trial rather than reading exposure as product capability.
Product positioning, use cases, and roles
Figure and Xolver currently overlap in shared tags: 자동화, 물류, 제조 및 로봇 공학. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Figure's unique categories/tags are 체화된 AI, 산업 자동화, 휴머노이드 로봇, 인공지능, 범용 로봇, 인력 부족 및 창고업; Xolver's are Machine Learning Models, Edge Computing, Process Control, 자동화, 준수, Auditable AI, 자율성 및 엣지 컴퓨팅. 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；Xolver has no verified rating, 0 comments, 21 favorites, and 21 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 “체화된 AI” and especially 체화된 AI, 산업 자동화, 휴머노이드 로봇, 인공지능, 범용 로봇 및 인력 부족. 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 Xolver first
Put Xolver on the priority trial list when the task aligns with “Machine Learning Models” and especially Machine Learning Models, Edge Computing, Process Control, 자동화, 준수 및 Auditable AI, or the users include 자동화 엔지니어, 최고기술책임자(로봇공학), 엔터프라이즈 운영 리드 및 현장 운영 매니저. This follows recorded positioning and does not imply unlisted capabilities are absent.
Xolver also currently records: pricing is not verified, product type is website, 3.5K on-site monthly views, 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 Xolver, 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.
비교 FAQ
How should I choose between Figure and Xolver?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.