The infrastructure behind 100+ enterprise AI deployments.
SwiftVision AI is a complete vision AI platform — capture, inference, orchestration, dashboards, alerts, and analytics — engineered for multi-site enterprise operations.
Twelve integrated platform modules.
Each module is production-hardened and deployable independently or as a unified system.
Multi-Camera Management
Onboard hundreds to thousands of cameras with health, calibration, and stream orchestration.
AI Processing Pipeline
Distributed inference across edge and cloud with TensorRT and DeepStream acceleration.
Pose & Rep Engine
Production pose estimation, joint-angle analysis, and rep counting for any movement.
Automated Clipping
Event-driven video clipping with timestamps, drill tags, and per-athlete libraries.
Dashboard System
Per-tenant dashboards with KPIs, charts, heatmaps, and live alerts.
Workflow & Events
Webhooks, queues, and rule engine to route detections into downstream systems.
Analytics Engine
Time-series + spatial analytics with PostgreSQL, Redis, and warehouse export.
API Infrastructure
REST + streaming APIs for ingest, query, alerts, and automation.
Edge + Cloud
Jetson edge nodes orchestrated by Kubernetes across AWS and Azure.
Roles & Tenancy
Granular RBAC, SSO, and multi-tenant isolation for enterprise rollouts.
Alerts & Notifications
Real-time alerts with deduplication, escalation, and on-call rotations.
Observability
Latency, throughput, and model performance telemetry across every stream.
From camera to action — one pipeline.
Capture, inference, orchestration, dashboard, alerts, and analytics — orchestrated and observable end to end.
- Capture: RTSP, ONVIF, HLS, WebRTC
- Inference: TensorRT, DeepStream, ONNX
- Orchestration: Kubernetes, Argo
- Storage: PostgreSQL, S3, Redis
- Delivery: REST, WebSocket, webhooks
- Observability: Prometheus, Grafana
From camera to action — one pipeline.
Capture, inference, orchestration, dashboard, alerts, and analytics — orchestrated and observable end to end.
- Capture: RTSP, ONVIF, HLS, WebRTC
- Inference: TensorRT, DeepStream, ONNX
- Orchestration: Kubernetes, Argo
- Storage: PostgreSQL, S3, Redis
- Delivery: REST, WebSocket, webhooks
- Observability: Prometheus, Grafana
Built on a production-grade open stack.
- AWS
- Azure
- Kubernetes
- Docker
- TensorRT
- DeepStream
- FastAPI
- PostgreSQL
- Redis
- MediaPipe
- NVIDIA Jetson
- OpenCV
Deploy Enterprise AI Systems Built For Real-World Operations
Discuss your AI deployment goals with our team and explore scalable AI infrastructure designed for enterprise growth, automation, and operational excellence.