
Maxinsights is a data services company serving robotics and physical AI teams, headquartered in Santa Clara, California. Its founder and CEO is Yuguang (YG) Yuan, and its co-founder and CTO is Kun Wang, who previously worked at Google X and Waymo. The company processes real-world human operation records into training data, primarily serving robotics foundation model, motion understanding, and related R&D teams.Company Profile
This website is better suited as a portal for corporate data procurement and partnerships: users submit tasks, specify requirements for the environment and delivery, and the service team then coordinates data collection and processing solutions. The official website focuses primarily on partnership inquiries and does not list self-service packages or standard subscription pricing for individual users.
From Actual Operations to Usable Data
Maxinsights’ core approach is first-person data collection. Operators record tasks during their daily routines or work scenarios; these recordings then undergo quality checks, action and object annotation, and data filtering before the raw or processed data is delivered. For robotics teams, the potential value of this type of footage lies in its coverage of different objects, spaces, and operational methods, ensuring that training materials reflect the variability found in real-world tasks—rather than merely repetitive demonstrations in a standardized setting.
official websiteThe listed outputs include video action understanding, hand and body pose, object tracking, segmentation, and spatial information. Specific deliverables depend on the acquisition configuration and task; in particular, it is important to distinguish between visual estimates and measurements from dedicated sensors: standard video does not automatically provide reliable tactile or force signals. The official website also explicitly states that contact and force data require specialized sensors.
Announced on October 22, 2026, MaxLoop is designed to provide automatic scoring and quality feedback during data collection, helping to identify issues such as occlusions, blurriness, or incomplete tasks; MaxGlove, on the other hand, is a tactile and force-sensing data collection glove currently under joint development with Genesis AI and should not be considered a mature, off-the-shelf product.Product Announcement
Which teams are worth reaching out to?
Teams developing robot models that require supplementary human operation demonstrations can consider this as a potential data provider. Developers working on household chores, food service, or other operational tasks can also submit targeted data collection requests based on their specific target environments. Teams that have video footage but lack the ability to segment actions, extract poses, or process quality data should specifically inquire whether existing data is accepted and what processed results can be provided, rather than assuming that all capabilities can be purchased separately.
Procurement decisions should be based on sample quality and training suitability. A large amount of footage does not necessarily mean that the target tasks are adequately covered. Whether the hands and objects remain clearly visible throughout the footage, whether the annotations are consistent, how failed actions are captured, and whether the data can be mapped to the specific robot configuration—these factors are all more closely related to actual R&D challenges than the total number of hours of footage.
Recommended Integration Steps
- Contact us through the “Contact Our Team” section on our official website. Please begin by describing the model’s intended use, task category, target environment, and required data modalities. Please do not upload unauthorized on-site videos during your initial communication.
- Please provide samples similar to the target task, along with field descriptions, time synchronization methods, annotation definitions, and quality acceptance criteria.
- First, conduct a small-scale validation to evaluate data availability, coverage discrepancies, and the performance of the target model, and then decide whether to expand the procurement.
- Before entering into a partnership, clearly define the following: consent for data collection, authorization for locations and subjects, scope of data use, delivery format, retention period, conditions for supplementary data collection, and associated costs. If tactile or force data is required, separately confirm the equipment’s maturity and the actual delivery timeline.
Comparison of Similar Data Services
| service | Official Business Focus | Requirements and Boundaries for Comparison |
|---|---|---|
| Maxinsights | First-person capture of real-world scenes, processing using in-house models, and quality feedback | Focus on natural task coverage and an integrated process from data collection to delivery; specific modalities must be confirmed on a case-by-case basis. |
| Scale Physical AI | Data Factory, Distributed Data Collection, Field Operations, and Multimodal Annotation | Requires the integration of different data collection environments or the operation of proprietary hardware; scope to be confirmed through a business proposal |
| micro1 Robotics | Demonstrations by professionals, structured data, and a controlled robotic environment | Data collection is required for domain tasks, action-level annotations, 3D video, or IMU, etc.; samples and acceptance criteria must comply with project agreements. |
All three should be compared based on specific data specifications; training effectiveness cannot be judged solely based on the scale figures listed on their official websites. What makes Maxinsights noteworthy is that it integrates on-site data collection and quality processing into a single service chain; whether it is suitable for your project ultimately depends on whether the samples can address the model’s shortcomings, as well as whether data rights, costs, and delivery terms are clearly defined.
data statistics
Relevant Navigation

Focusing on AI-driven conversational business intelligence technology, it provides enterprises with accurate, real-time and low-threshold data analysis and decision support solutions through natural language interaction and proactive Agent functions.

Aishi Technology
Focusing on the field of AI video generation, with self-developed DiT architecture and multimodal generation technology as the core, to create a full-scene video generation solution from professional creation to mass entertainment.

Liquid AI
A company that specializes in developing efficient and interpretable AI technologies, particularly in the areas of liquid neural networks and generative AI models, providing innovative solutions across multiple industries.

Pika
Valued at over $470 million, focused on AI video generation, founded in 2023, based in California, USA
Thinking Machines Lab
Thinking Machines Lab, founded by Mira Murati, develops customizable multimodal AI and serves developers through the Tinker training platform and the Inkling open-weight model service.

Superblocks
Focused on providing programmable platforms and AI-driven tools for enterprises, it helps developers and non-technical people to rapidly build customized internal applications, workflows and automated tasks, accelerating digital transformation and internal software innovation.
EliseAI
EliseAI provides conversational AI and workflow automation for housing operators and healthcare facilities, covering rental inquiries, resident services, phone communications, appointments, and administrative tasks.

Kumo.AI
Raised $37 million, focused on AI data analytics software, founded in 2021, based in California, USA
No comments...
