BREAKING NEWS: Fusion Studio now supports Alif Ensemble Series and is integrated across the Arm ecosystem.
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Build Edge AI Faster. Launch in weeks, not months.
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Ready-to-use Pre-trained models
Designed for real-world edge
devices
Reduces infrastructure costs
Built by Silicon Valley’s embedded & Edge AI innovators
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Recent Partner Additions:
Fusion Studio now supports Alif Ensemble Series and is integrated across the Arm ecosystem.
Build Production-Ready Edge AI
Examples of Edge AI in Use
Real Time Language Translation
No lag. No uploads. No connectivity required.
On-device intelligence processes language locally for immediate, natural translation.
Built for Real World Use Cases
Travel &
Hospitality
Retail & customer support
Healthcare
Real-Time Health Tracking
Monitor vital signs continuously and respond instantly, right on the device. Edge AI turns raw health data into immediate, actionable insights without relying on the cloud.
Built for Advanced Use Cases
Wearables & fitness devices
Remote patient monitoring
Elderly care & fall detection
On-Device Surveillance & Theft Detection
Detect risks in real time, without sending sensitive data to the cloud.Edge AI identifies threats locally for faster response and stronger security.
Built for High-Risk, High-Impact Use Cases
Physical security
Critical
infrastructure
Defense & border security
Why Engineers Choose Fusion Studio?
Build, optimize, and deploy production-grade edge AI faster with a workflow engineered for real-world devices.
Hardware-optimized models with quantization and acceleration.
Instant benchmarking across multiple embedded targets.
Automated workflows that cut development cycles dramatically.
One-click export for production-ready edge deployments.
Explore What’s Possible With Fusion Studio
Smart Data Prep
Curate domain-specific datasets with high-fidelity annotations for optimized downstream model performance.
Precision Training
Fine-tune edge-ready architectures using curated datasets and hardware-aware optimization loops.
Real-World Benchmarking
Evaluate latency, throughput, and memory footprint across device-specific inference profiles.
One-Click Deployment
Export quantized, hardware-optimized binaries for seamless execution on embedded targets.
Frequently Asked Questions
Getting up and running takes a few minutes. Your training time will depend on the training parameters you choose and the hardware you run the application on.
A fast desktop computer, suitable for mid-range gaming should be ample. Since all training takes place on the desktop, not the cloud, the faster the processor, the faster your training will complete, and the more iterations you'll be able to do per day. But so long as you have a half-decent desktop - you won't need to shell out for a hard-core gaming rig.
Yes, there will always be a Freemium plan which will allow you as an individual to do pretty-much everything you can do on a paid plan, except port your model to production hardware. Paid subscribers will also be able to collaborate in teams with a shared workspace, audit trails and security, and port the models to a selection of target chips from our growing base of partners which includes Infinion, STMicroelectronics, NXP, Synaptics, Alif and more
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To produce something amazing
Join the Fusion Studio and build deploy-ready models faster with our end-to-end, engineer-optimized workflow.
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10+ registered in last 24 hrs.