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Real-Time Edge AI Deployment,

Simplified 

Edge AI provides your ultimate platform for seamless AI deployment at the edge. From no-code development to powerful inference engines, we've got everything you need under one roof.

Democratizing On-device AI For All 

Explore a unified platform designed to streamline deployment, optimize performance, and bring AI/ML to any device -- faster, smarter, and at scale.  

Edge Studio 

Effortlessly build and deploy AI solutions without writing a single line of code. Our intuitive No-Code UI empowers you to focus on innovation and time to market.

Edge Agents

Easily build and integrate intelligent agents into your systems to enhance decision-making and automate complex tasks efficiently.

Edge Infer

Leverage our lightweight, high-performance inference engine for real-time on-device LLM-powered applications that deliver secure, edge-native intelligence.

Edge Core

Harness the power of our portable, high-performance, and deterministic graph runtime to orchestrate sensor, vision, and AI pipelines at the edge.

Edge SC

Everything in Edge Core as well as robust mechanisms to ensure deterministic real-time processing, making it perfect for compliance with ISO 26262, DO-178C, and IEC 61508 standards.

Edge AI/ML 

Build, deploy, and iterate on your models seamlessly with integrated support for ML frameworks such as ONNX, TensorFlow, PyTorch.

Use Cases

Explore industries we can help succeed

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Self-driving / ADAS

Enable real-time perception and decision-making with safety-critical performance. From lane detection to obstacle avoidance, our edge platform delivers low-latency inference for autonomous vehicles and advanced driver assistance systems.

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Robotics

Power autonomous robots with on-device intelligence for navigation, manipulation, and sensor fusion. Our modular runtime enables deterministic control loops for humanoid, service, and collaborative robotics.

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Security & Surveillance 

Achieve instant situational awareness with edge-native video analytics. Detect threats, track objects, and process video streams locally for privacy, speed, and reliability without cloud dependency.

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Aerospace & Core Flight Systems

Bring AI and autonomy to mission-critical flight operations. Our safety-ready platform supports computer vision, predictive maintenance, and onboard decision-making under strict latency and certification requirements.

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Industrial Manufacturing

Optimize production with real-time quality inspection, anomaly detection, and assembly. Deploy edge intelligence directly on the factory floor for efficiency and zero-downtime operations.

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Surgical & Medical Devices

Deliver next-generation precision and safety in medical robotics and imaging systems. Our platform ensures low-latency inference and compliance pathways for regulated environments like healthcare and surgery.

FAQ

Frequently asked questions answered

How do I get started ?

Contact us to book a demo to see the platform in action as well as access to our SDK and developer documentation.

What is Edge AI and how is this platform different ?

Our platform delivers a complete stack for real-time, on-device AI — including graph-based execution (EdgeCore), ML runtimes (Edge AI/ML), LLM inference (EdgeInfer), agent orchestration (EdgeAgent), and a no-code UI (EdgeStudio). Unlike cloud-first solutions, we’re ultra optimized for low-latency, privacy, and safety at the edge.

Can I run the Edge AI platform on the cloud ?

Our platform is scalable to build hybrid edge-cloud workflows through integration into your existing stack. Whether you're connecting to cloud APIs, syncing inference results, or deploying alongside your existing infrastructure, we can provide hands-on support to help you integrate seamlessly. If you're building a custom cloud-to-edge pipeline, we’ll work directly with your team to bridge deployment, dataflow, and monitoring needs.

What hardware and OS does your runtime support ?

Our runtime is portable across most hardware vendors and operating systems, including macOS, Windows, and Linux. We support deployment on embedded devices, automotive-grade systems, industrial PCs, and more — with a safety-qualified variant available for regulated environments.

Do you support safety-critical deployments ?

Yes. Edge SC is our safety-qualified runtime designed to meet standards like ISO 26262, IEC 61508, or DO-178C — suitable for automotive, aerospace, robotics, and industrial use cases.

What’s the difference between Edge AI/ML and EdgeInfer ?

Edge AI/ML handles traditional ML models such as vision, detection, segmentation, and sensor fusion.

EdgeInfer is built specifically for running LLMs, embedding, and re-ranking models on-device.

Trusted By Teams Who Build Things 

Systems & Product

Embedded Software

DevOps & Platform

AI/ML Engineers

UI/UX

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