Capture on device, infer at the edge or in your VPC, and monitor everything with one observability spine. Launch detection, segmentation, and video analytics without rebuilding the stack each time.
Run ONNX/TensorRT/Core ML at the edge or scale bursts in your AWS; same job/event model
Your infra, your data, open interfaces. No lock-in.
Ingestion, queues, workers, review UI, vector search, and webhooks ready on day one.
Per-tenant limits, autoscaling, retries, and audit trails.
Uploads, presigned S3, Drive/OneDrive, RTSP, and batch jobs with type checks and AV scanning.
Detection / segmentation / classification, tracking, post-processing, and sinks (S3, webhooks, alerts).
Keyboard-first QA, corrections, export to COCO/YOLO/CSV, and push deltas back to training.
Compare models, measure mAP/precision/recall, track drift and edge-case performance.
API Gateway + queues + workers (Lambda/Fargate/ECS) with private networking and least-privilege IAM
ONNX Runtime / TensorRT / Core ML for Jetson, x86, iOS, Android, and browser (WebGL/ONNX Web). Offline-first optional.
RTSP/MP4 ingest, smart frame sampling, timeline events, and clip exports.
Stage → canary → prod with signed artifacts and quick rollback
Latency, throughput, errors, and spend—by tenant and by job—with end-to-end traces.
Outcome dashboards, alerts on regressions, and canaries on new models.
Queue low-confidence cases for review and route fixes back to datasets.
Goals, constraints, success metrics.
Edge/cloud deploy, dashboards, alerts.
Data model, pipeline design, cost plan.
HITL loop, evals, and regular model releases.
Wire ingestion, models, review, and exports.
Our BaaS (Backend-as-a-Service) architecture powers the solution pages by abstracting the backend complexities and allowing rapid deployment and scalability.
Jobs try on-device first (ONNX/TensorRT/Core ML) and automatically burst to cloud workers when needed.
Every job flows through API → Queue → Autoscaled Workers with retries and idempotency.
Models promote stage → canary → prod with rollback and per-tenant targeting.
Connect cloud, models, labeling, and devices in minutes.
Defects, misalignment, missing parts
Helmet/vest detection, zone alerts
Shelf gaps, price tags, planograms
Package detection, LPR, flow counts
Insurance inspections, pre-work analysis, and report exports
Player tracking, events, highlight cuts