Production AI video agents on YOLOv8 / v9 / v10, DeepSORT + ByteTrack tracking, NVIDIA Triton + Jetson edge inference, OpenVINO, MediaPipe — plus multimodal LLMs (Gemini Live, GPT-4o Vision, Claude 3.5 Sonnet Vision) for scene reasoning. WebRTC / RTSP / ONVIF ingest. Same team behind MindBox (AI IVMS, 99.5%+ facial-recognition accuracy, ANPR ~500K vehicles/day at ~95%, 50+ deployments) and VALT (770+ US organizations, 50K+ users for law-enforcement / medical / child-advocacy video). 625+ real-time products since 2005.
We develop custom AI video agents that operate on live or recorded streams, combining computer vision, real-time video processing, and business logic to automate decisions and workflows.
AI models process live video over WebRTC, RTSP, or ONVIF (IP cameras). YOLOv8 / v9 / v10 for object detection, DeepSORT + ByteTrack for tracking, MediaPipe for pose / hand / face landmarks, EfficientDet for embedded targets. Sub-50ms inference on NVIDIA Jetson AGX Orin or T4.
Detections trigger automated actions: alerts, recordings, access control, workflow updates, REST / gRPC calls. For complex scene reasoning we layer multimodal LLMs — Gemini Live, GPT-4o Vision, Claude 3.5 Sonnet Vision — to describe, classify, or chain decisions on top of CV outputs.
AI video agents plug into NVIDIA Triton Inference Server for autoscaling, Genetec / Milestone / Avigilon VMS for security platforms, ONVIF / RTSP cameras (Hikvision, Axis, Dahua), Epic / FHIR for healthcare video, Apache Kafka for event streams, Grafana / DataDog for observability.
Custom AI video agents for every case — perimeter security (MindBox pattern), retail analytics, manufacturing QC, telemedicine triage (VALT), traffic / ANPR (500K vehicles/day), child-advocacy video evidence. YOLOv8 + DeepSORT + Triton + multimodal LLMs. SOC 2 / HIPAA / GDPR ready.

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.

Struggling with unfinished or broken code? We’ll step in, clean it up, and get your project back on track.

AI video agents operate inside a real-time video pipeline where every step, from video capture to automated action, is clearly defined. The system is modular, scalable, and designed for production environments.
A typical deployment includes:

Video data is protected with encrypted transport, access control, and secure storage. Architectures can be aligned with HIPAA, GDPR, and enterprise security requirements.
Startup 💡
• Single video AI agent
• Limited camera or stream inputs
• Predefined detection logic
~$13,000
from 2 months
Growth 🚀
• Multiple video streams
• Custom detection models
• Integration with internal systems
~$26,000
from 4 months
Enterprise 🏢
• High-load multi-camera systems
• Edge + cloud processing
• Compliance and security controls
• Monitoring and performance optimization
~$45,000
from 6 months
625+ real-time video and AI software since 2005. Shipped computer-vision platforms including MindBox (99.5%+ facial-recognition accuracy, ANPR capturing 500K+ vehicles/day at ~95% accuracy, 50+ deployments with Smart Forensic Search), VALT (770+ US organizations, 50K+ users, $8M revenue within 5 years of v1, Amazon Transcribe word-search over recorded video), and Doma.ai (Russia's #1 residential management platform, 4,305+ management companies across 40+ cities, facial-recognition intercom entry).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 625+ completed projects, 100% Upwork Success rate, and 400+ honest clients' reviews. Results you can trust.
We don’t sell prebuilt bots. Every AI video agent is designed around your business logic and constraints.
Our systems are tested for peak load, error handling & smooth handoff to human operators.
Our architectures include secure data handling, access control, logging, and audit-ready workflows.
Get the scoop on real-time video/audio, latency & scalability – straight talk from the top devs
An AI video agent processes live or recorded video on YOLOv8 / v9 / v10, DeepSORT, MediaPipe, or NVIDIA TAO models, runs scene reasoning through Gemini Live / GPT-4o Vision / Claude 3.5 Sonnet Vision, and triggers automated actions — alerts, recordings, access control, REST / gRPC calls — based on rules and confidence thresholds.
Video stream (WebRTC / RTSP / ONVIF) → FFmpeg or DeepStream preprocess → YOLOv8 / DeepSORT / MediaPipe inference on Triton / Jetson → multimodal LLM scene reasoning (optional) → decision engine with thresholds → alert / record / API call. Sub-50ms edge inference, sub-300ms cloud round-trip. MindBox runs this across 50+ deployments; VALT does scheduled recording with auto-positioning for 770+ organizations.
Yes — ONVIF + RTSP for IP cameras (Hikvision, Axis, Dahua), WebRTC for browser / mobile, RTMP / SRT for OBS / streaming, or direct VMS integration with Genetec, Milestone XProtect, Avigilon, NX Witness, DW Spectrum. Cloud sources: Wowza, AWS Kinesis Video Streams, Azure Video Indexer.
Yes — motion detection, intrusion alerts, behavior analysis, anomaly detection, ANPR (license-plate recognition), facial recognition, weapon / fire / smoke detection, crowd counting, PPE compliance, and forensic search. MindBox ships ANPR at ~95% accuracy on 500K+ vehicles/day; VALT serves law enforcement and child-advocacy with audit-grade evidence chains.
Yes — we fine-tune YOLO / EfficientDet / Detectron2 on your real footage with Roboflow / Label Studio for labeling, Ultralytics + PyTorch Lightning for training, NVIDIA TAO for transfer learning. Custom datasets typically lift mAP from 60% (off-the-shelf COCO) to 90%+ on domain-specific objects.
Architectures scale from a single Jetson Nano (1–4 streams) to thousands of concurrent streams via NVIDIA Triton autoscaling on A10 / L4 / H100 + Kubernetes. MindBox runs 50+ active deployments with smart forensic search; the same pipeline powers ANPR for 500K+ vehicles/day.