AI Systems Delivered.
Built For Production.
We design and deploy real-world AI: IoT & Edge systems that see and act, computer vision that survives harsh conditions, reinforcement learning where it’s the right tool, and strategy to prioritize the work that moves your KPIs.
IoT & Edge AI
Sensors, gateways, and on-device ML built for uptime. Secure comms, OTA, fleet monitoring.
- Telemetry & control (MQTT/Modbus)
- Edge models (ONNX/TensorRT)
- Dashboards, alerts, and SLAs
Computer Vision
Detection, inspection, and counting systems tuned to your lighting, motion, and camera constraints.
- PPE & safety compliance
- Defect & anomaly detection
- Retail shelf & planogram checks
Reinforcement Learning
Scheduling and control under uncertainty, blended with classical control for safety and stability.
- Simulator & scenario design
- Shadow mode & staged rollout
- Monitoring & rollback plans
Strategy & Roadmapping
Prioritize the right bets. ROI bands, risk, and a clear path from discovery to rollout.
- Opportunity map (top 3 wins)
- Readiness & data audits
- POC/Pilot plans with exit criteria
Where we fit
- Factories, warehouses, energy sites
- Sorting, inspection, and tracking lines
- Sites with patchy connectivity or strict latency
- Teams that need measurable ops wins
Outcomes you can expect
How we engage
- POC (1–3 weeks): Validate feasibility with real constraints.
- Pilot (6–10 weeks): Production-grade slice in one site or line.
- Rollout (phased): Fleet, monitoring, and handover.
AI Technology Landscape
Explore the interconnected world of AI technologies and see how our expertise spans across machine learning, computer vision, IoT, and strategic implementation.
Interactive Exploration
Hover over nodes to see detailed descriptions and connections. Click to select and explore related technologies. This graph represents our comprehensive expertise across the AI technology stack.