The Edge AI Stack for Embedded Teams
The models to start from. The pipeline to build it. The team to back you up — all built for real edge hardware
- Import
- Annotate
- Train
- Optimize
- Benchmark
- Deploy
- Trusted by teams at
- ModelNova Dashboard
- Products
Models to license. Tools to deploy. Engineers to customize.
Every model we publish runs in the tools we ship. Every custom engagement is staffed by the experts who built both.
ModelNova Fusion Studio
A desktop IDE for edge AI. Load your data, pick or train a model, quantize, compile, benchmark, and deploy — all in one app. No cloud bills. No 15-hour toolchain setup.
ModelNova Zoo
165+ pre-trained models for vision, audio, and sensor analytics — engineered for AI-capable silicon, not cloud GPUs.
Custom Models
Industry-specific models ready to license today. When nothing off-the-shelf fits, our team builds from scratch, retrains on your data, or refines your existing models — optimized for deployment on your silicon.
- Industries
Edge AI, deployed in
the field
Industrial & Manufacturing
Defect Detection Predictive Maintenance Anomaly Detection
Smart Homes & IoT
Presence Detection
Intruder Alert
Access Control
Security & Surveillance
Face Recognition
Wireless Intrusion
Loss Prevention
Automotive & EV
Driver Monitoring
Gesture Control
Child Presence
Retail & Hospitality
People Counting
Occupancy Analytics
Queue Detection
Audio & Wireless Sensing
Keyword Spotting
Audio Denoising
Speaker Detection
- About Us
Imagine it. Build it. Launch it.
At ModelNova, we believe edge AI should run on your hardware seamlessly. We bring together a full-featured development IDE, hundreds open-source models optimized for real silicon, and the embedded engineering expertise to fill every gap in between, so your team can go from concept to deployed binary without cloud dependency, without toolchain complexity, and without starting from scratch. From first prototype to production silicon, faster than any other path.
- Technology Pipeline
The edge AI pipeline, without the stitching
Model selection, hardware optimization, and production deployment – every step inside Fusion Studio, no handoffs between tools.
Select
Start from 165+ pre-trained models in the ModelNova Zoo, or bring your own from TensorFlow Lite, ONNX, or PyTorch. Find the right model for your use case and hardware target in minutes.
Pre-trained models: TFLite / ONNX · ModelNova Zoo
Customize
Fine-tune on your own dataset using transfer learning built for low-data edge environments. Live loss curves update in real time so you always know where training stands.
Transfer learning · Custom datasets · Live loss curves
Optimize
Apply INT8 and INT4 quantization, pruning, and layer fusion to hit the RAM budgets that real edge hardware demands. Shrink your model without sacrificing the accuracy that matters.
INT8 / INT4 · Pruning · Layer fusion
Compile
Generate hardware-ready binaries for Arm Ethos-U85 and Ethos-U55 via the Vela toolchain — one click, no command-line wrangling, no manual compiler flags.
Arm Ethos-U85 · ExecuTorch · Vela toolchain
Benchmark
Validate latency and RAM footprint against your target silicon before you commit to deployment. Know your model fits before it ships.
Latency · RAM footprint · Target silicon
Deploy
Push compiled binaries to your hardware OTA. Fast, reliable, and fully offline — no cloud dependency at inference time.
OTA updates · On-device inference · No cloud
Monitor
Track real-world model performance after deployment. Drift detection flags when accuracy starts to diverge — so you catch issues before they reach your customers.
Drift detection · Performance tracking · Post-deployment
- Blog & News
Insights
Blogs, reports, and practical guides focused on Edge AI deployment, embedded systems, and real-world performance optimization.
- Get Started
Start building. For free.
Fusion Studio and the ModelNova Zoo are free to download and use.
No license fees, no cloud account, no credit card.