Figure and Covariant both present advanced capabilities in ai-robotics, with Figure focusing on humanoid applications, while Covariant specializes in warehouse solutions. Figure has raised significant funding at $1.9B Series C, much larger than Covariant's $245.4M, allowing it to potentially invest more in product development. Employee size is another contrast, with Figure having a larger team of about 180 employees compared to Covariant's 49, possibly impacting customer service and support scalability.
Best for
Figure is the better choice when your team requires a versatile humanoid for household Task automation, especially with integration into smart home systems and companionship features.
Best for
Covariant is the better choice when optimizing warehouse operations is critical, leveraging its powerful AI-driven decision-making and seamless integration with existing warehouse systems.
Key Differences
Verdict
Both Figure and Covariant demonstrate strong capabilities within their respective domains. Figure is suitable for environments demanding versatile humanoid interaction and home device integration, while Covariant aligns with warehouses needing robust AI automation. Decision-makers should evaluate based on domain-specific needs: Figure for household efficiency and Covariant for industrial optimization.
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
-81% vs last weekCovariant
Stable week-over-weekFigure
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Covariant (1)
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Only in Covariant (8)
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Only in Covariant (15)
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No complaints found
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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)
For household automation and care, Figure is better. For warehouse and logistics optimization, Covariant is more suitable.
Figure's pricing is tiered and has occasional feedback for flexibility, while Covariant's pricing is not commonly discussed, implying it may be more straightforward.
Figure may offer more comprehensive support due to its larger employee base, but specific user feedback on community is limited for both.
While technically possible, their distinct focus areas suggest limited direct synergy. Integrations would depend on the specific use cases.
Figure has a steep learning curve noted by users, while Covariant has a user-friendly interface, suggesting Covariant might be easier initially.