Product engagements our team has delivered.
Real builds across the industries we work in — what each product does, which layers we built, exactly where AI accelerated the work versus where our engineers led, and the engineering-effort impact. Client names are withheld by policy; every project below is real, described by product and industry, not by company.
Healthcare & MedTech
A wearable medical patch continuously captures patient vital signs and securely transmits physiological data for remote monitoring, giving care teams a continuous view of patient status rather than relying only on intermittent manual measurements.
See the AI / Human split
Where AI accelerated
- Firmware scaffolding & sensor-driver implementation
- BLE connectivity implementation
- Signal-processing code
- Backend APIs & service boilerplate
- Test-case generation & documentation
Where our engineers led
- Medical/product requirements
- Hardware architecture & sensor selection
- Power architecture
- Safety-critical behavior
- Validation, verification & final code review
A wearable continuously analyzes motion data locally to identify movement patterns associated with potential falls, enabling rapid detection without continuously transmitting raw sensor data to the cloud.
See the AI / Human split
Where AI accelerated
- IMU driver implementation & firmware modules
- Signal-processing & feature-extraction code
- Model integration & inference pipeline
- Mobile implementation
- Automated test generation
Where our engineers led
- Fall-detection methodology & dataset strategy
- Model selection, accuracy/recall tradeoffs
- False-positive management
- Real-time & power constraints
- Validation
Consumer Electronics
A compact smart ring continuously captures physiological and activity data while operating under extremely tight constraints around size, power consumption, wireless connectivity and sensor integration.
See the AI / Human split
Where AI accelerated
- Embedded implementation & sensor interfaces
- BLE code
- Data-processing pipelines
- Mobile & backend code
- Test generation & documentation
Where our engineers led
- Sensor architecture & miniaturization
- Power budget
- Mechanical/electrical constraints
- Signal quality
- Hardware/firmware integration & validation
A wearable captures sleep and physiological signals and uses AI to transform longitudinal data into personalized sleep insights and recommendations.
See the AI / Human split
Where AI accelerated
- Firmware implementation
- Data pipelines & feature extraction
- ML integration & recommendation-service development
- Mobile application & backend APIs
- Test generation, documentation & analytics implementation
Where our engineers led
- Sleep-data architecture
- Model evaluation & data quality
- Recommendation methodology
- Privacy/security
- Validation
Industrial IoT & Sensors
A battery-free environmental sensor detects room conditions and occupancy while minimizing energy consumption and maintenance requirements.
See the AI / Human split
Where AI accelerated
- Sensor drivers & firmware
- Communication implementation
- Data-processing algorithms
- Backend services
- Test generation & documentation
Where our engineers led
- Energy budget & harvesting architecture
- Hardware selection & sensor placement
- RF architecture
- Ultra-low-power design
- Reliability
A connected monitoring device tracks temperature and environmental conditions during transportation and storage and generates alerts when conditions move outside defined limits.
See the AI / Human split
Where AI accelerated
- Firmware & sensor drivers
- Connectivity implementation
- Backend APIs & data ingestion
- Alerting logic & dashboard
- Test generation & documentation
Where our engineers led
- Temperature requirements & sampling strategy
- Battery architecture
- Connectivity strategy
- Device reliability
- Alert semantics & validation
Automotive & Mobility
A distributed monitoring module captures thermal conditions across an EV battery pack and identifies abnormal temperature behavior for battery-management and diagnostic systems.
See the AI / Human split
Where AI accelerated
- Device drivers & firmware implementation
- Diagnostics logic
- Data-processing code
- Test generation, documentation & code review
Where our engineers led
- Thermal architecture
- Safety behavior & fault handling
- Real-time constraints
- Hardware design & validation
- Automotive compliance considerations
An in-vehicle edge-AI system analyzes driving behavior locally and detects defined safety events in real time without requiring continuous transmission of raw sensor/video data.
See the AI / Human split
Where AI accelerated
- Computer-vision pipeline
- Model integration & inference implementation
- Data-processing code
- Device & backend APIs
- Test generation & documentation
Where our engineers led
- Dataset strategy & model selection
- Accuracy evaluation & false-positive management
- Real-time constraints & edge hardware optimization
- Safety behavior
- Validation
Energy & Smart Grid
A connected platform collects operational telemetry from distributed solar micro-inverters and provides fleet-wide visibility into performance, device health and faults.
See the AI / Human split
Where AI accelerated
- Protocol implementation & firmware
- Data ingestion
- Dashboard development & analytics
- Backend APIs
- Test generation & documentation
Where our engineers led
- Electrical telemetry interpretation
- Fault semantics
- Data architecture
- Reliability & device-cloud synchronization
- Production deployment
Smart Home & Building Automation
A modular smart-home hub connects home devices and sensors while providing local-first voice interaction and automation, reducing dependence on cloud processing.
See the AI / Human split
Where AI accelerated
- Firmware & protocol integration
- Voice-processing integration
- Automation logic
- Backend & mobile application
- Test generation, documentation & debugging
Where our engineers led
- System architecture & local/cloud boundary
- Security & privacy
- Protocol selection
- Hardware architecture & reliability
- Voice UX & production validation
A connected home-protection sensor combines multiple environmental signals to detect water leaks, freezing conditions and other potentially damaging events.
See the AI / Human split
Where AI accelerated
- Sensor drivers & firmware
- Sensor-fusion implementation
- Event-classification algorithms
- Mobile application & APIs
- Test generation & documentation
Where our engineers led
- Sensor selection & detection methodology
- False-alarm reduction
- Power architecture
- Environmental validation
- Reliability
The platform combines occupancy and environmental sensing across a building to understand space utilization and provide intelligence for more efficient HVAC operation.
See the AI / Human split
Where AI accelerated
- Firmware & sensor interfaces
- Device APIs
- Data pipelines
- Analytics & dashboard
- Test generation & documentation
Where our engineers led
- Occupancy methodology & sensor fusion
- Building-system integration
- HVAC control boundaries
- Architecture & reliability
- Deployment validation
A central smart-home router/gateway connects distributed home sensors and provides a unified platform for device provisioning, monitoring, automation and user control.
See the AI / Human split
Where AI accelerated
- Firmware & network services
- Backend & device APIs
- Mobile application
- Provisioning flows
- Test generation, documentation & debugging
Where our engineers led
- Network architecture & security
- Device provisioning architecture
- Hardware & protocol decisions
- Reliability & end-to-end integration