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.
Enterprise video operations from camera ingestion to incident workflow.
Teams often stitch VMS, model servers, and alert tools manually, creating brittle integrations and weak operational visibility.
Use governed workflows to ingest RTSP streams, apply detection models, enforce business rules, and route incidents to your existing systems.
Key Capabilities
- Multi-site RTSP ingestion with stream health checks
- Policy-based detection and event routing
- Integration with VMS, ticketing, and notification systems
- Audit-ready event logs with retention controls
Ideal Teams
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
Ideal Teams
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
Ideal Teams
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
Ideal Teams
Ready to build?
Join thousands of engineers building real-world AI systems with SolutionEngine.