Decisions close to the signal
Classify, detect or estimate locally when the product cannot wait for a reliable round trip to the cloud.
01 THE DEPLOYMENT
Engineer the whole operating system around the model.
Sosteco combines embedded systems, electronics, sensors and AI engineering to deploy inference in physical products. We design the complete path from data capture and model evaluation to target hardware, firmware, thermal limits and production support.
02 OUTCOMES
What the engagement is built to change.
Architecture across hardware and AI
Balance model quality with compute, memory, power, thermal, cost and lifecycle constraints.
A path to production
Connect data collection, model updates, firmware, validation and manufacturing support into one maintainable system.
03 ENGINEERING SCOPE
From constraints to an operable deployment.
- Sensor, camera and signal-chain assessment and data strategy
- Model selection, training support, compression and target benchmarking
- Embedded Linux, gateways, accelerators and microcontroller integration
- Firmware, application interfaces, telemetry and secure update paths
- Prototype validation, environmental testing and production support
04 DELIVERY PATH
Evidence before scale.
Characterize
Define the signal, environment, decision, failure cost and product constraints.
Benchmark
Test model performance and target hardware with representative field data.
Integrate
Engineer inference, firmware, interfaces, telemetry and update behavior as one system.
Validate
Measure accuracy, latency, power and robustness through prototype and production conditions.
05 PRACTICAL QUESTIONS
Before the first technical decision.
When should inference run at the edge?
Edge inference is useful when response time, privacy, connectivity, bandwidth cost or offline resilience matters. Hybrid designs can keep fast decisions local while using the cloud for fleet learning and management.
Can you integrate AI into an existing device?
Often, after assessing available compute, memory, power, interfaces and update capability. We benchmark before recommending a processor, accelerator or hardware revision.
Do you handle both electronics and model deployment?
Yes. Sosteco works across sensors, PCB and embedded software as well as model evaluation and inference integration, which reduces gaps between the AI prototype and the physical product.
07 START WITH THE CONSTRAINT
Bring us the real workflow.
We'll define the smallest deployment that can prove technical feasibility and operational value.