Frame-by-frame video labeling to help your AI understand motion, context, and behavior — from autonomous driving to retail analytics.
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At Intellisane AI, our expert annotators specialize in object tracking, event tagging, and behavior recognition across complex video streams. We bring structure to dynamic scenes — so your AI can act with precision and speed.
Our dedicated annotation team ensures every dataset is crafted with accuracy and care—empowering AI with human intelligence.
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We offer high-quality services including object tracking, activity classification, temporal segmentation, and scene labeling. Intellisane’s solutions ensure every frame is annotated with the clarity your models need for accurate decision-making in real-world conditions.
2D Bounding Boxes
Precisely track and detect objects in video frames for real-time applications and analytics.
Segmentations
Assign pixel-level labels to video frames for detailed understanding in autonomous systems.
3D Cuboid
Capture object depth and dimensions, enabling accurate spatial recognition for robotics and AR/VR.
Keypoints and Landmarks
Identify key body or facial points for advanced motion tracking and pose estimation in videos.
Line and Polyline
Annotate object trajectories or lane markings, enhancing autonomous driving and traffic control systems.
Video Data Collection
Label videos based on actions or behaviors, boosting AI performance in activity recognition and security.
We adapt quickly to your evolving project needs. Whether you're launching a proof of concept or scaling to millions of annotations, our agile workflow ensures speed, flexibility, and consistent quality — without the bottlenecks
Your data is your asset — and we treat it that way. We follow strict data privacy protocols, secure infrastructure practices, and industry-grade compliance standards to ensure your information stays protected at every step.
From emerging startups to global enterprises, we offer scalable pricing models that align with your budget and goals. You get top-tier annotation quality — without the enterprise-only price tag.
Our process begins with understanding your project scope and goals. The Intellisane team then annotates each frame using a mix of manual and smart-assisted tools, followed by QA reviews and collaborative feedback rounds — ensuring precise, production-ready datasets.
We start by aligning on your annotation goals, data formats, and key success metrics.
This phase ensures a clear understanding of your project scope and technical needs.
Your raw data is cleaned, structured, and annotated using best-fit tools and techniques.
Our skilled team ensures high precision and efficiency throughout the process.
We share annotated samples for your review. Your feedback guides refinement of labeling instructions, ensuring the workflow is optimized to your expectations.
A thorough QA process is conducted with multi-level checks—combining expert review and automation to validate accuracy, consistency, and compliance with guidelines.
The fully annotated dataset is delivered in your desired format, on time.
We offer continuous support for updates, scaling, or retraining as your AI models evolve.
Our clients share how Intellisane AI’s precise and reliable annotation services boosted their AI projects, showcasing our commitment to quality and trust.
Intellisane AI played a key role in helping us reach 97% accuracy in automating foundation layout detection. Their deep understanding of spatial data and labeling precision brought measurable improvements to our AI pipeline. The team was communicative, detail-oriented, and delivered everything ahead of schedule.S. RagavanSr. ML Engineer
Our fashion AI model required pixel-level segmentation across 72 garment categories—and Intellisane AI handled it flawlessly. They quickly adapted to our complex annotation guidelines and delivered consistent, high-quality labels at scale. Their domain focus, speed, and attention to visual detail were exactly what we needed.Valerio ColamatteoSr. AI Scientist & Team Lead
For our ADAS project, Intellisane AI delivered precise vehicle annotations across diverse traffic scenes, including multiple object classes and occlusion scenarios. Their expertise in automotive data workflows and quality-first mindset helped us pass all validation checks, with timely delivery and professional communication throughout.Raphael LopezCo-Founder & CTO
Fueling video intelligence in transportation, security, sports, healthcare, robotics, and more — with annotation expertise from Intellisane AI.
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