What Makes BrainFrame an AI OS?

Operating systems such as Linux and Windows provide a common software layer between computer hardware and applications, making hardware resources easier for developers to program. Computers wouldn't have been adopted globally without them.

Mobile operating systems extend that idea to support connectivity, cameras, sensors, permissions, and app stores. Smartphones wouldn't have been adopted globally without them.

We believe the global adoption of AI machines —beyond the cloud—requires an AI OS that delivers the following:

Users can download and run ready-to-use, essential applications for free.
Developers can build AI applications through public APIs, then package, deploy, and distribute their models through the AI Marketplace. Together, these applications can address most problems in the physical world.
An AI OS provides the necessary software and tools to:
- Interact with the physical world through connected cameras, speakers, microphones, and displays.
- Be installed on computers and machines, fully accelerated and optimized for the underlying hardware.
- Be deployed and managed as a single instance or at scale—at the edge, in datacenters, or in the cloud.

BrainFrame is built on Linux with these principles in mind. It natively processes AI on incoming video streams from connected cameras. Anyone can run ready-to-use AI applications instantly, while developers can leverage APIs and the AI Marketplace to seamlessly build, deploy, and monetize their own models.

NO CODE: Run AI on Video Streams

Anyone can use ready-to-use AI applications on feeds from connected cameras with NO CODE or engineering required. Simply download AI from the Marketplace via VisionCapsules^{VisionCapsules are portable AI packages that BrainFrame can load, configure, run, and combine with other AI capabilities.}, configure virtual lines and zones in your physical space, and instantly turn AI detections into automated notifications and reactions.

LOW CODE: Build Any AI Application

BrainFrame eliminates the engineering heavy-lifting between an AI model and a production video AI application. The video pipeline, inference runtime, chipset acceleration, application plumbing, result storage, integration layer, deployment, and management are all included out of the box. To deploy a new AI application at scale with zero friction, a developer only needs to:

Build video AI applications using BrainFrame REST APIs.
Package video AI models using the OpenVisionCapsules format, and distribute them via the VisionCapsules^{VisionCapsules are portable AI packages that BrainFrame can load, configure, run, and combine with other AI capabilities.} AI Marketplace.

How BrainFrame Works

Connect Video Sources

BrainFrame is built to effortlessly scale, connecting to hundreds or thousands of live video feeds simultaneously. Deployment takes just minutes with no coding required, allowing you to leverage your existing video infrastructure without requiring new hardware. Whether you are connecting IP and USB cameras directly, routing through enterprise Video Management Systems (VMS) and Network Video Recorders (NVR), or processing static video files and images, BrainFrame seamlessly transforms your current setup into an AI-powered network right out of the box.

Download AI from the Marketplace

With access to the AI Marketplace, you can download and deploy new AI models with just one click—no coding required. Under the hood, BrainFrame utilizes OpenVisionCapsules, the first interoperable AI packaging format, invented by our team and released through OpenCV. This powerful format enables efficient deployment, dynamic loading, and automated algorithm fusion in AI inference pipelines at runtime. With support for leading AI accelerator chipsets and major machine learning frameworks, BrainFrame also offers low-code tools for packaging and deploying your own custom AI models.

Run AI on BrainFrame

Turn AI detections into notifications, reactions, and insights. BrainFrame allows you to transition seamlessly from passive monitoring to active operations. The system tracks people, vehicles, and behaviors in real time, enabling immediate response and active deterrence through AI Talkdowns and instant alerts. Enhanced by VisionCapsules^{VisionCapsules are portable AI packages that BrainFrame can load, configure, run, and combine with other AI capabilities.}, BrainFrame empowers you to monitor virtually anything, from security threats to defects on industrial production lines. Whether you are managing a few cameras at home, dozens across an apartment complex, or thousands in a global enterprise, BrainFrame scales effortlessly to deliver a smarter, safer environment.

Multi-model automated fusion

BrainFrame unifies edge AI, cloud AI, LLMs, and third-party models into one automated inference workflow.

Developers can reuse and combine models published with BrainFrame or by third parties, without rebuilding existing capabilities or manually integrating pipelines.

This shared ecosystem enables developers worldwide to collaborate, leverage each other’s work, and focus on their own domain-specific models and algorithms.

An inference pipeline combining a person detector and tracker with a third-party PPE classifier to produce unified trajectory and classification data.

Accelerated AI Across Partner Silicon

We work closely with chip vendors to optimize BrainFrame for new compute platforms and benchmark performance across real-world use cases.

Supported Architectures & Hardware Runtimes: The public release runs on x86-64 systems. AI inference runs on the CPU, an integrated GPU, a discrete GPU, or an NPU. Inquire about a private release for ARM architectures.

x86-64
CPU
Intel iGPU
GPU
NPU

Built for Mass Production Deployment

BrainFrame is designed to enable developers to move from pilot projects to large-scale production across multiple AI compute and accelerator platforms.

By combining hardware abstraction, performance benchmarking, system health monitoring, and optimized AI execution across Intel, NVIDIA, and OEM platforms, BrainFrame removes technical roadblocks. Developers can start with a small number of cameras and scale the exact same application architecture toward large production deployments—without rebuilding the software stack for each new hardware choice.

Start small. Scale without redesigning.

Begin a pilot with a few cameras, then expand toward mass-production deployment across thousands of devices—without rebuilding the application architecture.

Hot-Swap AI Models Without Downtime.

Update your models on the fly while the system is running, supporting mission-critical environments that require continuous operation and telecom-grade reliability.

A Unified AI operating layer.

Break free from hardware lock-in. Your applications and AI models run inference seamlessly across changing compute platforms without requiring costly redesigns.

Proven in Fortune 500 Deployments

BrainFrame has been deployed at enterprise scale in Fortune 500 mass-production operations across multiple verticals and real-world AI workloads. These deployments demonstrate that BrainFrame can move beyond pilot projects into production systems that require scalability, reliability, hardware optimization, and long-term operation.

Explore solutions and real deployments

What Can You Build with BrainFrame?

One connected-camera infrastructure can support many AI use cases. BrainFrame provides the common operating platform to run, combine, and extend AI capabilities across the same physical space.
Whether you integrate AI with your existing IT applications through BrainFrame REST APIs, deploy your own AI models, or use third-party models packaged as VisionCapsules^{VisionCapsules are portable AI packages that BrainFrame can load, configure, run, and combine with other AI capabilities.}, they all work through the same BrainFrame system.

For Developers & AI Model Builders

Have custom models to deploy? Use our VisionCapsule SDK and REST APIs to package, hot-swap, and orchestrate containerized vision algorithms across edge devices.

Tutorials & APIs

Build with BrainFrame using tutorials, public APIs, and examples.

Explore REST APIs

Package and deploy your own AI capabilities with VisionCapsules^{VisionCapsules are portable AI packages that BrainFrame can load, configure, run, and combine with other AI capabilities.}.

View VisionCapsules Tutorials

PARTNER ECOSYSTEM

Scale With BrainFrame

Whether you install security systems or manufacture edge hardware, BrainFrame is the open platform for turning vision AI into a product you can sell.

For System Integrators & VARs

Stop Losing Bids to "Rip-and-Replace" Quoting

Add high-margin recurring monthly revenue (RMR) to your existing camera installs—with no hardware lock-in and no IT pushback.

Win the Deal on Existing Cameras: Don't ask customers to scrap functioning infrastructure. Connect directly to their existing ONVIF and RTSP cameras and turn on active voice deterrence in minutes.
Capture Predictable RMR Without a Call Center: Earn recurring monthly software margins on per-stream Talkdown.ai licenses. Protect client sites autonomously without the overhead of staffing a 24/7 central monitoring room.
Clear IT & Cyber Audits on Day One: Video never leaves the building. By running all AI inference locally on an on-premise edge appliance behind the firewall, you eliminate the cloud bandwidth bottlenecks and cybersecurity red tape that stall enterprise contracts.

For Hardware OEMs & Silicon Vendors

Stop Selling Empty Silicon. Ship Production-Ready AI Appliances.

Shorten your hardware sales cycles from months to days by pre-loading a proven edge AI OS and commercial active-deterrence killer app.

Eliminate POC Purgatory: When enterprise prospects evaluate your edge PCs or silicon, don't let them stall writing video ingestion pipelines from scratch. Ship an appliance validated with BrainFrame OS and running Talkdown.ai for out-of-the-box evaluation on day one.
Prove Real-World Stream Density: Move beyond synthetic TOPS benchmarks. Demonstrate multi-stream real-time video analytics running at scale on your GPUs and NPUs using BrainFrame's containerized inference pipeline.
Capture Complete Solution Margins: Upgrade your product line from low-margin commodity hardware to turnkey AI Security Appliances validated with BrainFrame OS and co-marketed with Aotu.

BrainFrame: The AI OS for Smart Machines