Computer Vision Platform
for multi-site enterprises.
SwiftVision AI is an end-to-end computer vision platform: camera capture, edge inference, orchestration, dashboards, alerts and analytics, built for multi-site enterprise operations.
Twelve computer vision modules,
one enterprise platform.
Production-ready modules for camera management, edge AI inference, dashboards, APIs and alerts. Run each on its own or as one system.
Multi-Camera Management
Onboard hundreds to thousands of IP and CCTV cameras with health checks, calibration and stream orchestration.
Edge AI Inference Pipeline
Distributed AI inference across edge and cloud, accelerated with NVIDIA TensorRT and DeepStream.
Pose Estimation & Rep Engine
Real-time pose estimation, joint-angle analysis and rep counting for any exercise or sports movement.
Automated Clipping
Event-driven video clipping with timestamps, tags and searchable clip libraries per athlete, camera or site.
Dashboard System
Per-tenant video analytics dashboards with KPIs, charts, heatmaps and live alerts.
Workflow & Events
Webhooks, queues and a rule engine to route detections into downstream systems.
Analytics Engine
Time-series and spatial analytics with PostgreSQL, Redis and data warehouse export.
API Infrastructure
REST and streaming APIs for video ingest, queries, alerts and automation.
Edge + Cloud
NVIDIA Jetson edge devices orchestrated by Kubernetes across AWS and Azure.
Roles & Tenancy
Granular role-based access (RBAC), SSO and multi-tenant isolation for enterprise rollouts.
Alerts & Notifications
Real-time alerts, including WhatsApp, with deduplication, escalation and on-call rotations.
Observability
Latency, throughput and AI model performance monitoring across every camera stream.
From camera to action,
one AI pipeline.
One computer vision pipeline for capture, inference, orchestration, dashboards, alerts and analytics, 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
Computer vision solutions
for every industry.
One platform, built into solutions for fitness, retail, manufacturing, healthcare and security teams.
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01
AI Fitness App Development
Pose estimation, rep counting and form feedback for fitness apps, smart gyms and sports training.
- Tracks body pose and counts every rep in real time.
- Gives form feedback from a phone or gym camera.
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02
Retail Analytics Software
Footfall counting, zone monitoring and staff analytics for stores, malls and restaurants.
- Counts shoppers walking in and out of every store.
- Monitors staff and customer zones on your existing CCTV.
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03
AI Visual Inspection
Product counting, dimension measurement and PPE detection for factories and warehouses.
- Detects missing helmets, vests and other PPE across many cameras.
- Counts products and measures objects on the production line.
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04
AI Radiology Software
AI segmentation and image analysis that support medical imaging and research teams.
- Segments tumors and regions of interest on MRI scans.
- Built to support imaging and research teams.
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05
Real-Time CCTV Analytics
Intrusion, loitering and crowd detection with instant alerts across every security site.
- Detects intrusion, loitering and crowding as it happens.
- Sends an instant alert with a snapshot to WhatsApp.
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06
Custom Computer Vision
A different use case? We train custom AI models for your cameras, footage and workflow.
- Trained on your own footage and use case.
- Runs at the edge or in the cloud, on the cameras you already have.
Computer vision tech stack,
production-grade and open.
- AWS
- Azure
- Kubernetes
- Docker
- TensorRT
- DeepStream
- FastAPI
- YOLO
- Redis
- MediaPipe
- NVIDIA Jetson
- OpenCV
Computer vision platform,
your questions answered.
The questions operations, IT and security teams ask before a rollout.
What is a computer vision platform?
A computer vision platform is software that turns camera video into useful data and actions. SwiftVision AI connects to your cameras, runs AI models at the edge or in the cloud, and sends the results to dashboards, alerts and APIs, so you can see every site from one place.
Does it work with my existing CCTV or IP cameras?
Usually, yes. The platform takes standard video streams such as RTSP and ONVIF, so most sites can use the cameras they already have. We check camera angles and image quality for each use case before rollout.
Does the AI run at the edge or in the cloud?
Both. Models can run on NVIDIA Jetson edge devices next to your cameras for low latency and less bandwidth, or in the cloud on AWS or Azure. Many rollouts use a mix of the two.
Can you build custom AI models for our use case?
Yes. Alongside ready modules such as pose estimation, PPE detection and people counting, our team trains custom models on your own footage for the objects, defects or events that matter to your operation.
How long does deployment take?
It depends on the number of sites, cameras and models. Most projects start with a pilot on a few cameras, then roll out site by site once the results are agreed.
How does it connect to our other systems?
Through REST and streaming APIs, WebSocket and webhooks. Detections and events can be sent to your own dashboards, databases and business tools, or exported to a data warehouse.
How is our video data kept secure?
Access is controlled with role-based permissions (RBAC) and single sign-on (SSO), and each customer's data is kept separate in a multi-tenant setup. Processing video at the edge also means less footage has to leave your site.
How much does the platform cost?
Pricing depends on how many cameras and sites you have, which modules you need and whether models run at the edge or in the cloud. Book a demo and we will scope your setup and share pricing.
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