We build custom AI-powered video surveillance and computer vision systems that detect, analyze, and act in real time.
We design and develop custom AI video surveillance, computer vision, and analytics systems that detect objects, track events, and extract intelligence from live or recorded video streams.
From edge AI deployment to cloud-scale processing, we build systems that perform under real-world conditions.
Detect people, vehicles, license plates, PPE compliance, intrusions, or any custom event instantly.
Using cutting-edge AI models like YOLOv8, EfficientDet, and custom CNNs, combined with DeepSORT and ByteTrack for multi-object tracking, our systems maintain high accuracy and reliable tracking across cameras in real time.
Turn video into actionable insights. Our AI engines analyze patterns, detect anomalies, monitor queues and dwell times, and provide predictive risk alerts.
We enrich video data with speech-to-text, NLP metadata, and BI dashboards so your team can act fast and make smarter decisions.
Deploy on edge devices (NVIDIA Jetson, Intel OpenVINO), on-prem servers, or cloud platforms like AWS, Azure, and Google Cloud.
Our architectures deliver low-latency processing (<200 ms), handle high concurrency, optimize GPU usage, and securely manage multi-camera streams.
Unlike traditional CCTV, which relies on human monitoring, AI video surveillance detects, tracks, and analyzes events in real time. It reduces false alarms, improves accuracy, and scales across locations, turning video into actionable intelligence.
Manual monitoring
Automated real-time detection
Human-dependent
90-98% model accuracy (trained)
High
Reduced with AI filtering
Limited
Multi-site cloud scaling
Video playback only
Behavioral & predictive analytics
Our AI video surveillance solutions are built to solve real-world challenges across industries.
From retail and industrial safety to smart cities and perimeter security, we turn video data into actionable insights, helping businesses prevent losses, improve safety, and optimize operations.
Custom AI Video Recognition apps for every case. Secure, scalable, and packed with smart features – built by the pros who started it all.
![[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 💡
Perfect for MVPs: fast launch, core features, and a foundation to test your idea.
from
$10,000
from 1 month
Growth 🚀
Ideal for scaling products: advanced functionality, integrations, and performance tuning.
from
$24,000
from 2 months
Enterprise 🏢
Built for mission-critical systems: heavy traffic, complex infrastructure, and robust security.
from
$48,000
from 4 months
Perfecting real-time processing since day one – reliable custom solutions that deliver real value.
Senior developers, QA, UI/UX, 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 AI, advanced models, and custom development – straight talk from the top devs
Costs depend on project complexity, camera count, and features. MVPs typically start around $10,000, while full-scale enterprise systems with advanced analytics can reach $48,000+. We provide a free initial quote.
Yes. We integrate AI analytics into your existing cameras or VMS platforms, enhancing detection, tracking, and behavior analysis without replacing your infrastructure.
Absolutely. Our systems run on edge devices like NVIDIA Jetson or Intel OpenVINO, providing real-time processing with low latency while reducing cloud costs and bandwidth usage.
Accuracy varies by environment and training data, but our models typically achieve 90-98% detection precision for objects, people, vehicles, and custom events. Multi-object tracking ensures consistent identity across cameras.
Yes. We provide integrations with BI dashboards, alerts, and operational systems, plus metadata enrichment using NLP and speech-to-text, turning video streams into actionable insights.
MVPs are usually ready in 4-6 weeks, while enterprise deployments with advanced analytics and multi-site scaling can take several months, depending on scope and data readiness.
