Core Strategy · EAI Brain

EAI Brain

Intelligence built for real-world industries

One Brain, Many Bodies. Many Bodies, More Capability.

EAI Brain is FF's incremental intelligence layer on partner robots — localized AI, agentic tasks, models and Skills, cross-robot software, and cloud operations, built for real industries.

01 · Scope

From a Complete Robot to FF's Industry Intelligence

Our partners provide the complete robot — hardware, software, low-level control and initial AI models. FF then adds its own software, models, agents, Skills and operations on top.

The robot platform
EAI Brain
Hardware provided by our robotics partners
Software and AI capability developed or led by FF
The robot's base operating system and low-level control
Localization, agents and business task orchestration added by FF
Base software and initial models shipped with the hardware
Models FF trains, fine-tunes, adapts or co-develops
Development interfaces and device management provided by partners
FF cross-platform adaptation and unified task/event abstraction
The device's native perception and interaction capabilities
FF industry Skills, enterprise integration and the operations loop
02 · Capabilities

Six Core Capabilities

Understanding local users, completing real tasks, then operating and improving over the long run — six capabilities make up EAI Brain.

01 Validated

Localized Intelligence

Global robots that actually understand local users and local business

FF systematically localizes a robot's existing capability for the language, culture, enterprise knowledge, business rules and regulatory environment of each target market. This is not interface translation: it makes the robot's understanding, decisions and behavior match what local users and businesses actually require.

Multilingual speech & NLU Enterprise knowledge base Roles & permissions Privacy & compliance Edge / cloud / hybrid
Localized Intelligence
02 Validated

Agentic Task Intelligence

From conversation to completed work

Through agents, a rule engine and workflow systems, FF turns user intent into robot tasks that are executable, traceable and recoverable. The robot plans steps, calls authorized tools, and hands off to a person with full context when it cannot close the loop itself.

Intent understanding Multi-step planning Priority & recovery Deterministic workflows Human handoff
Agentic Task Intelligence
03 Validated

FF Models & Skills

Turning AI capability into reusable robot skills

FF develops, fine-tunes, adapts and co-trains AI models around real scenarios, then packages perception, dialogue, motion and business processes as reusable Skills. Each Skill declares the platforms it runs on, its runtime conditions, required permissions, safety boundaries and version.

Multimodal & vision models VLA & manipulation Eval & rollback Dialogue / motion Skills Deploy & monitor
FF Models & Skills
04 Validated

Simulation & Training Infrastructure

Accelerating embodied AI training, simulation, evaluation and deployment

FF builds embodied models, robot simulation, reinforcement learning, model evaluation and edge deployment on the NVIDIA robotics stack, combining platform capability with its own data, software, agents and platform adaptation into incremental intelligence that runs on real robots.

Isaac Sim / Isaac Lab GR00T VLA fine-tuning Whole-body control Sim-to-real Jetson edge AI
Simulation & Training Infrastructure
05 In progress

Cross-Robot Software

One brain, many bodies: the same intelligence running across different robots

Robots from different partners have different software architectures, compute platforms and device interfaces. FF connects factory SDKs and APIs through an adaptation layer and a unified runtime, so the agents, Skills and industry software FF builds port more efficiently across robot forms. Designed for multiple platforms.

SDK / API adaptation Capability discovery Unified task interfaces Cross-chip support Graceful degradation
Cross-Robot Software
06 Validated

Cloud Operations & Continuous Evolution

Robots you can deploy, manage and keep updating

EAI Brain spans both the robot and the cloud. Through one task and operations system, FF and its customers manage runtime state, configure business processes, handle exceptions remotely, and keep shipping new software, models and Skills.

Task scheduling & tracking Remote assistance OTA updates RBAC & audit Outcome analysis
Cloud Operations & Continuous Evolution
Deep Dive

In-House Simulation & Training Infrastructure

FF is using NVIDIA Isaac Sim, Isaac Lab, GR00T and the Jetson platform for robot simulation, VLA model fine-tuning, humanoid whole-body control, quadruped locomotion and edge deployment. The whole-body control policy is already deployed on real hardware.

97.9%
whole-body tracking success
29 + 12 DoF
humanoid & quadruped control
03 · How It Works

How EAI Brain Reaches the Floor

Five steps take a robot from first connection to working reliably on site — and getting better while it does.

01

Connect the platform

Reach the robot's existing capability through partner SDKs, APIs and device interfaces.

02

Add intelligence

Deploy the models, agents, knowledge and software services FF develops or co-develops.

03

Configure the work

Configure roles, Skills, workflows, permissions and safety boundaries for each site.

04

Run and operate

Robots carry out real tasks, with cloud systems or people assisting when needed.

05

Keep improving

Models, Skills, processes and software versions update based on how things actually run.

04 · Why It Lasts

Why EAI Brain Compounds

Every platform integration, every site deployment and every iteration adds to FF's software assets and intelligence.

Localized

Built for the market it serves

Adapted to the language, knowledge, processes, enterprise systems and regulations of each market.

Task-ready

General AI turned into real work

Agents, Skills and workflows deliver business outcomes you can verify.

Portable

Intelligence decoupled from hardware

A unified adaptation layer preserves and reuses FF's software assets. Each new robot form widens both the capability set and the range of scenarios EAI Brain can serve.

Operable

From demo to long-term operation

Tasks, remote assistance, monitoring, updates, security and audit.

Compounding

Better with use

Evaluation, feedback and versioned iteration keep improving models and Skills.

From General-Purpose Robots to Industry Intelligence

Our partners define what the robot can do. EAI Brain defines what it understands, completes, and the value it creates locally.

EAI Brain is the incremental intelligence FF develops or co-develops. The robot platform, OS, motion control and initial AI models are provided by partners, not FF.

Capabilities marked "In progress" or "Planned" aren't yet available and aren't product commitments. Figures come from FF's dev/eval environments; real-world results vary by platform, task and deployment.