Covariant excels in AI-driven robotics for warehouse management with features like advanced object recognition and seamless integration with warehouse systems. In contrast, Figure focuses on humanoid robotics, offering human-like dexterity and multi-task capabilities for household tasks. Covariant has about 47 employees and raised $245.4M in funding, while Figure has around 180 employees and secured $1.9B in Series C funding.
Best for
Figure is the better choice when your focus is on household robotics applications, especially when human-like interaction and multi-tasking are important for home environments.
Best for
Covariant is the better choice when your organization needs advanced AI-driven robotics tailored for warehouse operations, particularly if integration with existing systems is crucial.
Key Differences
Verdict
Choose Covariant if your focus is on deploying reliable AI robotics in warehouse settings for optimized logistics and task management, leveraging its seamless system integrations. On the other hand, opt for Figure if household robotics with personal interaction capabilities and smart home integration align better with your needs. Both tools have unique offerings but serve different niches effectively.
Figure
Figure is the first-of-its-kind AI robotics company bringing a general purpose humanoid to life.
"Figure" users appreciate its intuitive design and robust feature set, making it a popular tool for creative projects. However, some users have expressed dissatisfaction with occasional software bugs and a steep learning curve for beginners. The pricing is generally seen as fair for the value offered, though there are occasional requests for more flexible plans. Overall, "Figure" has a positive reputation as an effective and versatile software in its category.
Covariant
Covariant builds and delivers Robotics Foundation Models into the real world, meeting the reliability and flexibility required by the world’s leading
Covariant is generally praised for its innovative AI capabilities, especially in complex fields like causal inference, which is appreciated by domain experts. However, specific user complaints or dissatisfaction with Covariant are not clearly highlighted in the data available. There is no distinct pricing sentiment found in the social mentions or reviews. Overall, Covariant maintains a solid reputation among technical users and experts, particularly in niche AI-driven domains.
Figure
+75% vs last weekCovariant
Stable week-over-weekFigure
Covariant
Figure
Covariant
Figure
Covariant
Figure (8)
Covariant (1)
Only in Figure (8)
Only in Covariant (8)
Only in Figure (8)
Only in Covariant (15)
Figure
Covariant
No complaints found
Figure
Covariant
No data
Figure
Figure
Covariant
Figure
Covariant
Figure
So, Claude helped build a sex requesting app for my wife and I...
Recently I asked my wife if we could do some sexy stuff later in the evening and she eye rolled me and said without looking up from her phone “Put it in a request. Maybe a Google Form. And I might say yes”. Ohhhh? Unfortunately for both of us, my degenerate brain took that seriously... what if I m
Covariant
Only in Figure (1)
Only in Covariant (5)
Covariant is better for use cases involving warehouse automation and logistics, while Figure suits personal and household robotic tasks.
Pricing details for Covariant are not specified, whereas Figure offers tiered pricing plans generally deemed fair by users.
Community support specifics are not detailed, but Figure's larger company size suggests broader market engagement.
While they serve different domains — warehouse vs. household — using both for distinct roles in logistics and smart home management could offer complementary benefits.
Figure may have a steeper learning curve for beginners, suggesting Covariant may be easier to adopt in professional settings.
