Feasibility
Understand whether on-device inference is technically and economically sensible.
Embedded AI and TinyML for on-device inference
On-device AI can reduce latency, bandwidth and privacy concerns, but models must respect memory, power and real-time constraints. Silicon LogiX supports embedded AI from feasibility to deployment.
How we can help
Model deployment
Quantization, runtime integration and firmware-side data preparation.
Edge architecture
Where inference runs, how results are used and how updates are managed.
How we work
Context and goals
Review goals, constraints, existing code or hardware documentation.
Architecture and plan
Define risks, architecture choices and a practical execution plan.
Development and verification
Work iteratively on real targets, with measurable checkpoints.
Delivery and support
Deliver code, documentation and technical decisions that the team can maintain.
A new idea or an existing project? Tell us where you are starting from.
The service in detail
Open a topic to explore activities, technical choices and scope.
AI that fits the device
The challenge is not just training a model. It is making inference reliable within memory, latency, power and update constraints.
- Audio classification, anomaly detection, vision and signal analysis.
- TinyML and quantized models for MCUs and edge SoCs.
- Model integration with firmware, sensors and data acquisition pipelines.
- Evaluation of latency, memory, accuracy and deployment trade-offs.
Validation
- Validation
- Measure accuracy, latency, memory and behavior on real target hardware.
Frequently asked questions
Do you train models?
The focus is embedded deployment and product integration; model training can be supported when it is part of the technical path.
Can AI run on a microcontroller?
Yes for specific models and signals, provided memory, latency and accuracy targets are realistic.
Can you evaluate if AI is worth it?
Yes. Feasibility work can compare AI against simpler deterministic approaches.
Let’s discuss your project
Tell us your goal, what is already available and what needs to improve. We can then assess the next step together.