Bullet Physics
Bullet Physics maintains an open-source real-time physics simulation ecosystem (Bullet SDK and PyBullet) under the zlib license, serving robotics and reinforcement learning researchers, game developers, and VFX practitioners with CUDA-accelerated rigid and deformable body simulation.
- Company typePrivate
- Founded-
- HeadquartersSan Francisco, United States
- Headcount—
- GTM typeB2B
- OfferingSoftware
What Bullet Physics does
Bullet Physics is the maintainer of an open-source real-time physics simulation ecosystem centered on the Bullet Physics SDK (a C++ collision detection and rigid/soft body dynamics engine) and PyBullet (Python bindings optimized for robotics and reinforcement learning). The technology supports rigid body dynamics, finite element method (FEM) deformable simulation, CUDA hardware acceleration, and differentiable simulation through the Google Research-built Tiny Differentiable Simulator (TDS), which achieves 1 million simulation steps per second and hybrid simulation with neural networks. The stack is extended by Kubric, a scalable synthetic dataset generator that pairs PyBullet with Blender rendering to produce annotated multi-modal training data for computer vision models. The ecosystem also integrates with Facebook AI Habitat, Stable Baselines, Google Colab, and Assistive Gym.
The project serves robotics and reinforcement learning researchers (primary), game developers (e.g., Lumote on Steam), and visual effects artists. Research collaborations with Google Research, Facebook AI, and Alphabet X Everyday Robots have produced peer-reviewed publications including the RSS 2020 Best Paper on quadruped locomotion imitation, and the engine is embedded in the Habitat embodied AI platform. Distribution is entirely self-serve via GitHub, PyPI, and Google Colab.
The business model is community-driven open source under the zlib license with no commercial pricing tiers, no paying customers, and no disclosed funding, headcount, or legal entity structure. Erwin Coumans is identified as a contributor; the project operates without traditional corporate ownership or revenue mechanics.
Bullet Physics firmographics
Firmographics- Name
- Bullet Physics
- Legal name
- Bullet Physics
- Website
- https://bulletphysics.org
- Company type
- Private
- Operating status
- Operating
- Short description
- Bullet Physics maintains an open-source real-time physics simulation ecosystem (Bullet SDK and PyBullet) under the zlib license, serving robotics and reinforcement learning researchers, game developers, and VFX practitioners with CUDA-accelerated rigid and deformable body simulation.
- Ownership category
- akta.pro rank
Bullet Physics industry classification
Industry- Product category
- Physics Simulation Software
- akta.pro primary industry
- Game Engines (General-Purpose & Real-Time 3D) (MPAFAFAA)
- akta.pro secondary industry
- VFX/Virt Prod Pipeline, Tools & Systems (Asset Mgmt, Shot Tracking, Automation) (MPADAHAJ)
Keywords
Where Bullet Physics is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Markets served
Bullet Physics business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Others
Revenue model
- Open Source Distribution: Bullet Physics SDK and PyBullet are open source software distributed freely under the zlib license. No commercial revenue model; development appears community-supported with contributions from researchers at Google and other institutions.
Go-to-market motion1 record
Distribution channels3 records
Marketing channels4 records
Bullet Physics product offering
Product offeringCore offering
Bullet Physics provides an open-source real-time physics simulation engine (Bullet Physics SDK in C++ with PyBullet Python bindings) supporting rigid body dynamics, soft body/FEM simulation, collision detection, and differentiable simulation. Its products serve games, visual effects, robotics research, and reinforcement learning, with CUDA-accelerated performance up to 1 million simulation steps per second and integrations with ML frameworks like Stable Baselines and Facebook AI Habitat.
Product overview
Bullet Physics is an open-source real-time physics simulation ecosystem centered on two primary products: the Bullet Physics SDK (C++ physics engine) and PyBullet (Python bindings). The Bullet Physics SDK provides the core collision detection, rigid body dynamics, and constraint solving capabilities used in games, visual effects, and robotics. PyBullet wraps this functionality with a focus on reinforcement learning and robotics applications, offering easy Python access to physics simulation for training AI agents. Supporting modules include Tiny Differentiable Simulator (TDS) for differentiable physics with neural network integration, and Kubric for scalable synthetic dataset generation combining PyBullet with Blender rendering. The ecosystem supports hardware acceleration via CUDA, Google Colab integration, and interoperability with frameworks like Facebook AI Habitat, Stable Baselines, and Assistive Gym.
Differentiator
Problem solved
Functional benefit
Quantifiable outcome
- 1 million simulation steps per second on CUDA
Companies that use Bullet Physics
Customer profileNamed customers4 records
Segments3 records
Ideal customer profiles3 records
Bullet Physics technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration7 records
AI capability8 records
Feature5 records
Bullet Physics partnerships and signals
Strategic signalPartnerships
Five partnerships are on record, tiered core and major.
- Google Research (Kubric)coreGoogle Research developed Kubric, an open-source Python framework that interfaces with PyBullet and Blender to generate photo-realistic synthetic scenes with rich annotations. Kubric scales to large distributed jobs generating TBs of data for machine learning training.
- Google Research (Tiny Differentiable Simulator)coreGoogle Research developed TDS (Tiny Differentiable Simulator) using Bullet Physics as the foundation. The simulator adds neural network augmentation and CUDA support for fast differentiable simulation at 1M steps/second. Published in ICRA 2021 as 'NeuralSim: Augmenting Differentiable Simulators with Neural Networks'.
- Google Research (Motion Imitation)coreGoogle Research's motion imitation project used Bullet Physics 3.05 for quadruped locomotion learning. The research, which won RSS 2020 Best Paper, trained robots to imitate animal motions in simulation before transferring to real hardware.
- Facebook AI (Habitat)majorFacebook AI integrated Bullet Physics into Habitat v0.1.3, their simulation platform for embodied AI research. Habitat-sim uses Bullet for physics simulation alongside photo-realistic 3D environment rendering.
- Alphabet X Everyday RobotsmajorAlphabet's Everyday Robots project uses Bullet Physics and PyBullet for robot learning research. Featured in Wired article and documented in 'Speeding up robot learning by 100x with simulation' paper from Google X.
Scale indicators4 records
Recent moves6 records
Expansion highlights6 records
Bullet Physics competitors and assessment
Company assessmentBroad incumbents
- Unity (PhysX integration): Major game engine that bundles NVIDIA PhysX for physics. Comparable to Bullet as a host environment for real-time physics in games, but at much larger scale and with full commercial engine context; represents the 'platform incumbent' that game developers typically choose over standalone physics libraries.
- Epic Games (Unreal Engine and Chaos Physics): AAA game engine with built-in Chaos physics. Comparable to Bullet as a real-time physics solution for games and VFX, but delivered as part of a fully integrated commercial engine with significantly broader capability and reach.
Direct peers
- Open Dynamics Engine (ODE): Long-standing open-source physics engine used in games and robotics. Comparable to Bullet as a free, permissively licensed C++ physics library supporting rigid body dynamics; less differentiated on modern features like differentiable simulation and GPU acceleration.
- Havok: Commercial, industry-standard physics engine widely used in AAA games and historically a direct competitor to Bullet. While proprietary rather than open source, Havok competes for the same game-physics workloads and is a benchmark for what a commercialized physics engine business can look like.
- DART (Dynamic Animation and Robotics Toolkit): Open-source physics library with strong robotics and biomechanics focus. Comparable to Bullet in being an open-source C++ physics engine with rigid body dynamics and integration with robotics/ML frameworks, though it is a smaller community and more research-oriented.
- MuJoCo (Google DeepMind): Open-source physics simulator focused on robotics and reinforcement learning, now under Google DeepMind. Highly comparable to Bullet/PyBullet in target audience (robotics researchers) and differentiable simulation capabilities, and a direct substitute for PyBullet in many research stacks.
- Webots: Commercial-grade open-source 3D robotics simulator with a large library of robot models. Comparable to PyBullet as a robotics simulation environment, especially for sim-to-real workflows, though with a different productization model (commercial + open source).
- Box2D / Chipmunk2D: Open-source 2D physics engines widely used in games and lightweight simulations. Comparable to Bullet as a free, popular open-source physics library, but limited to 2D; relevant to understanding the broader open-source physics engine ecosystem in which Bullet competes.
- NVIDIA PhysX and Isaac Sim: Industry-leading physics engine and robotics simulation platform from NVIDIA. Directly comparable to Bullet as a physics engine and to PyBullet as a robotics simulation environment, but with significantly more resources, commercial support, and integration with NVIDIA's hardware ecosystem.
- Gazebo (Open Robotics): Open-source 3D robotics simulator with strong adoption in ROS-based research. Comparable to Bullet/PyBullet in the robotics simulation market, with overlapping but different technical emphases (Gazebo focuses on full simulator stack, Bullet on physics core).
Market position
Strengths4 records
Weaknesses4 records
Competitive moat5 records
Key risks5 records
Key highlights6 records
Customer concentration
Bullet Physics social profiles
Digital presenceBullet Physics financial estimates
Financial estimateRevenue estimate
Valuation estimate
Bullet Physics leadership team
Management profileNumber of profiles
Bullet Physics funding detail
Funding detailFunding overview
Funding rounds
Investors
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Bullet Physics M&A and investment
M&A and investmentM&A
Investments
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Frequently asked questions about Bullet Physics
What does Bullet Physics do?
Bullet Physics provides an open-source real-time physics simulation engine (Bullet Physics SDK in C++ with PyBullet Python bindings) supporting rigid body dynamics, soft body/FEM simulation, collision detection, and differentiable simulation. Its products serve games, visual effects, robotics research, and reinforcement learning, with CUDA-accelerated performance up to 1 million simulation steps per second and integrations with ML frameworks like Stable Baselines and Facebook AI Habitat.
Is Bullet Physics a public or private company?
Bullet Physics is a private company. It is classified as unknown and is currently operating.
When was Bullet Physics founded?
Bullet Physics was founded in -1.
Where is Bullet Physics based?
Bullet Physics is headquartered in San Francisco, United States, in the North America region.
How does Bullet Physics make money?
One revenue line is on record: open Source Distribution.
Who are Bullet Physics's main competitors?
Broad incumbents on record are Unity (PhysX integration) and Epic Games (Unreal Engine and Chaos Physics). Direct peers are Open Dynamics Engine (ODE), Havok, DART (Dynamic Animation and Robotics Toolkit), MuJoCo (Google DeepMind), Webots, Box2D / Chipmunk2D, NVIDIA PhysX and Isaac Sim and Gazebo (Open Robotics).
Does Bullet Physics have an API?
No public API is recorded for Bullet Physics.
What industry is Bullet Physics in?
Bullet Physics's product category is Physics Simulation Software. Its primary akta.pro industry code is MPAFAFAA, Game Engines (General-Purpose & Real-Time 3D), with a secondary code of MPADAHAJ, VFX/Virt Prod Pipeline, Tools & Systems (Asset Mgmt, Shot Tracking, Automation).