AI that works in the
real world.
Most AI platforms stop at the model. SolutionEngine takes you all the way to production with integrated data, logic, and infrastructure.
End-to-end video analytics from edge cameras to cloud dashboards.
Building custom pipelines for RTSP streams, inference, and alert logic is brittle and hard to scale.
Connect cameras directly to workflows that handle ingestion, pre-processing, inference, and action.
Key Capabilities
- Native RTSP / WebRTC ingestion
- Real-time frame processing
- Person/Object detection & tracking
- Automated incident alerts
Connect sensors to decision logic for predictive maintenance and control.
OT and IT systems are disconnected. Sensor data is stuck in silos and hard to act on.
Ingest MQTT/Modbus data, run predictive models, and trigger PLCs or alerts automatically.
Key Capabilities
- MQTT & OPC-UA connectivity
- Anomaly detection models
- Edge-local execution
- Equipment health monitoring
Full observability for production AI models and workflows.
Models degrade in production, and 'black box' failures are impossible to debug.
built-in logging, performance metrics, and drift detection for every execution.
Key Capabilities
- Inference latency tracking
- Input/Output data logging
- Error rate alerting
- Custom business metrics
The fastest path from Jupyter notebook to scalable API.
Translating experimental code into production microservices is slow and error-prone.
Import models directly, wrap them in workflows, and deploy as auto-scaling APIs.
Key Capabilities
- One-click model import
- Auto-generated APIs
- Scalable infrastructure
- Version control included
Ready to build?
Join thousands of engineers building real-world AI systems with SolutionEngine.