FigureHumanoid robots built to integrate AI-driven labor into real-world workforces.

5.0 (6)

Reviewed by Daniel Nikulshyn·Updated May 2026

Robotics Automation Logistics Enterprise Manufacturing Embodied AI Humanoid Robots

Overview

Figure develops general-purpose humanoid robots designed to take on physical tasks in commercial and industrial environments. The robots combine bipedal mobility, dexterous manipulation, and onboard AI models that allow them to perceive their surroundings, follow natural language instructions, and learn from demonstration. The company targets sectors facing persistent labor shortages, such as manufacturing, logistics, and warehousing, positioning its humanoids as flexible workers that can be deployed across tasks rather than dedicated to a single function. Figure has partnered with large enterprises to pilot its robots in live operational settings. Ongoing development focuses on improving autonomy, safety, and the underlying foundation models that drive perception and decision-making, with the broader goal of expanding humanoid robotics into wider commercial and eventually household use.

Key features

Bipedal humanoid form factor
Dexterous two-handed manipulation
Onboard AI vision and language models
Learning from human demonstration
Designed for warehouse and manufacturing tasks
Enterprise pilot partnerships

Pricing

Model: Freemium
Category: AI Agents
Rating: 5.0 / 5 (6)

Use cases

Warehouse Material Handling

Deploy humanoid robots to move, sort, and stage goods in warehouses, helping operators address labor shortages with flexible workers that can shift between tasks.

Manufacturing Line Support

Integrate robots into manufacturing environments to perform repetitive physical tasks, using dexterous two-handed manipulation and onboard vision to adapt to live production lines.

Task Training via Demonstration

Teach new workflows by having human operators demonstrate tasks, allowing the robot's AI models to learn behaviors without requiring custom programming for each function.

Natural Language Task Assignment

Direct robots using spoken or written instructions, enabling frontline supervisors to assign and adjust work without specialized robotics expertise.

Pros & Cons

Pros

General-purpose hardware adaptable to many tasks
Backed by major industrial pilot deployments
Combines vision, language, and motor control
Targets real labor shortage problems

Cons

Not available as an off-the-shelf product
Enterprise-scale cost and integration
Early-stage real-world reliability
Limited public technical access

Reviews

5.0

Average from 6 ratings.

Victor Nguyen

May 18, 2026

Solid for our team

We rolled this out across the team last quarter and targets real labor shortage problems. Learning from human demonstration fits neatly into how we already work, and onboard AI vision and language models removed a step we used to do by hand. Not available as an off-the-shelf product, which is the main caveat, but it has held up under daily use.

Kwame Mensah

Jan 15, 2026

Does the job

Pretty happy overall. Bipedal humanoid form factor just works and targets real labor shortage problems. but no dealbreakers — I'd recommend it to a friend without hesitating.

Linda Petersen

Nov 4, 2025

Does the job

Pretty happy overall. Bipedal humanoid form factor just works and combines vision, language, and motor control. Enterprise-scale cost and integration can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.

Rina Desai

Nov 1, 2025

Skeptical, then convinced

I went in skeptical — most tools in this space overpromise. It actually delivers on learning from human demonstration, and general-purpose hardware adaptable to many tasks caught me off guard. still, I'd recommend giving it a real trial.

Tomáš Novák

Oct 28, 2025

Compared a few options

Evaluated this against two competitors. Where it wins: designed for warehouse and manufacturing tasks and general-purpose hardware adaptable to many tasks. On balance the feature set — especially learning from human demonstration — justifies the 5 stars for our use case.

Devin Walker

Sep 19, 2025

Does the job

Pretty happy overall. Learning from human demonstration just works and combines vision, language, and motor control. Enterprise-scale cost and integration can be annoying, but no dealbreakers — I'd recommend it to a friend without hesitating.