Computer Vision
Real-time video analysis, object detection, defect inspection, and multimodal image generation. We ship production computer vision across security, retail, manufacturing, and creative use cases.
01Overview
We build computer vision systems that run in production, not just notebooks. Asynchronous video segmentation, multi-model detection pipelines, and creative generation, deployed on cloud infrastructure with proper monitoring and CI/CD.
02Why choose this service
01
YOLO for detection, Gemini for contextual understanding, face and emotion recognition, all orchestrated together.
02
From live video streams with webhook callbacks to batch processing of image catalogs.
03
Dockerized, containerized, monitored, with CI/CD and observability baked in.
04
Annotated video, structured metadata, embeddings, or generated content, whatever downstream needs.
03How we work
01
What objects, events, or content should the system detect? What accuracy and latency are required?
02
YOLO, Gemini, custom fine-tunes. Benchmark on your data before committing.
03
Async processing, job queues, storage, and downstream integrations.
04
Cloud deployment, monitoring, and iteration as new data arrives.
04Applications
05Technologies
06FAQ
Yes. We support RTSP streams, file uploads, and batch video processing from S3 or similar sources.
Yes. We've trained custom YOLO models for proprietary detection tasks.
We optimize for cloud by default. Edge deployment is supported case by case.
07Explore more
AI-assisted pipelines to ingest, classify, and analyze large datasets. From ETL and classification to dashboards and predictive analytics.
End-to-end web applications built with modern stacks. From MVPs to scaled production platforms, shipped by a single team.
Cross-platform iOS and Android apps built with React Native. Native modules when needed, shared code where it makes sense.
Trusted in production by