We develop real-time computer vision and AI video analytics software that detects threats, reduces false alarms, and scales across thousands of cameras.
We design and develop custom computer vision and AI video surveillance platforms that transform raw video streams into structured, actionable intelligence in real time. Our systems combine deep learning, video analytics, and scalable infrastructure to help organizations detect threats early, automate monitoring, and reduce operational risk.
Each solution is tailored to your cameras, deployment model, and business logic.
We deploy YOLOv8/YOLOv9 with DeepSORT to detect and track people, vehicles, and assets across multiple camera streams in real time.
Models are trained on your environment to reduce noise from lighting, weather, and motion, cutting false alerts by up to 70%.
We build high-accuracy facial recognition and LPR systems using InsightFace and custom-trained datasets optimized for your operational and regulatory needs.
Edge deployment ensures low latency and biometric data protection.
Our AI video analytics interpret movement patterns to detect loitering, falls, aggressive behavior, overcrowding, and restricted zone violations.
Searchable timelines, heatmaps, and indexed events transform video from passive recording into proactive risk prevention.
Traditional CCTV relies on manual monitoring and reactive review, often generating false alarms from basic motion detection.
Computer vision-powered surveillance analyzes video streams in real time, triggering alerts only when relevant objects or behaviors are detected.
Monitoring
Manual, human operators
Automated, real-time AI analysis
Alerts
Frequent false alarms from motion
Triggers only on relevant objects or behaviors
Response
Reactive, slow
Proactive, faster response
Labor & Cost
Labor-intensive, higher operational cost
Lower manpower requirements, cost-efficient
Scalability
Limited, single-site focus
Multi-site, centralized management
Insight
Raw video review
Structured, context-aware notifications
Accuracy
Prone to missed incidents
High detection accuracy, fewer false positives
Our AI and computer vision surveillance platforms are built with modern, high-performance technologies to ensure real-time detection, low latency, and scalable multi-site deployment.
Every component is optimized to deliver accurate insights, handle large camera networks, and integrate seamlessly with existing infrastructure.
Our AI-powered computer vision systems are designed to handle a wide range of environments and operational needs, turning video feeds into actionable insights in real time. From security and safety to logistics and smart city management, these solutions help organizations reduce risk, improve efficiency, and gain situational awareness across multiple sites.
Custom AI Video Surveillance Software Development for every case. Secure, scalable, and packed with smart features.
![[background image] image of logistics control room (for a trucking company)](https://cdn.prod.website-files.com/64e8910adc5a63966a68acc1/68e7dfd17638aaf511162f7a_f841ed23dc31eb8a94e23195c64f4acb_develop.webp)
Have an idea? We’ll turn it into a fully working app – from design and backend to launch and support.
Got a product that needs more speed, stability, or features? We’ll make it stronger and ready to scale.
![[digital project] image of a showcased project (for a ai robotics and automation)](https://cdn.prod.website-files.com/64e8910adc5a63966a68acc1/68e7e04abb8f1a3770a8625e_fix.webp)
Struggling with unfinished or broken code? We’ll step in, clean it up, and get your project back on track.
Startup 💡
MVP with pretrained detection models and basic dashboard.
from
$20,000
from 1.5 months
Growth 🚀
Custom-trained computer vision models and advanced analytics.
from
$40,000
from 3 months
Enterprise 🏢
Large-scale hybrid architecture with behavior analytics and multi-site orchestration.
from
$60,000
from 5 months
Perfecting complex real-time video software since day one – reliable custom solutions that deliver real value.
Senior developers, QA, UI/UX designers, analytics – all in-house. We think like product owners, not just coders.
Over 600 completed projects, 100% Upwork Success rate, and 400+ honest clients' reviews. Results you can trust.
Get the scoop on real-time video/audio, latency & scalability – straight talk from the top devs
Software that uses computer vision and machine learning to detect people, objects, faces, vehicles, behaviors, or risks in live video feeds.
Computer vision enables software to automatically interpret video content, detecting people, objects, faces, vehicles, and behaviors without human monitoring.
With environment-specific model training, accuracy typically reaches 90-98% depending on task complexity and camera quality.
Yes. Every part can be customized: AI models, UI, workflows, integrations, dashboards, hardware, and deployment.
Yes. With distributed inference and optimized pipelines, large-scale multi-site deployments are achievable.
Yes. We support ONVIF, RTSP, IP cameras, DVR/NVR systems, and hybrid environments.
Yes. We support privacy controls, on-device inference, encrypted streams, and role-based access.
Edge AI reduces latency and bandwidth use. Cloud enables centralized storage and large-scale retraining. Most enterprise systems use hybrid architecture.
Basic systems take from 6-10 weeks. Advanced multi-site systems take from 3-6 months.
