Custom data collection solutions across text, image, audio, and video — fueling high-performance AI models from the ground up.
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Our skilled annotators deliver precise video annotations tailored to your AI model's needs, ensuring accurate object detection, classification, and segmentation. With a focus on quality and efficiency, we help you accelerate development across industries like healthcare, retail, and autonomous systems.
Our dedicated annotation team ensures every dataset is crafted with accuracy and care—empowering AI with human intelligence.
Learn moreWe source, generate, and curate high-quality datasets tailored to your AI use case. From real-world images to multilingual speech and domain-specific text, Intellisane AI ensures you get accurate, diverse, and ethically sourced data — every time.
Image Data
Precisely track and detect objects in video frames for real-time applications and analytics.
Video Data
Assign pixel-level labels to video frames for detailed understanding in autonomous systems.
Text Data
Assign pixel-level labels to video frames for detailed understanding in autonomous systems.
Audio Data
Assign pixel-level labels to video frames for detailed understanding in autonomous systems.
Needed Data for You
Capture object depth and dimensions, enabling accurate spatial recognition for robotics and AR/VR.
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.
We start by understanding your project’s data needs and target distribution. Our team then deploys the right collection methods — from controlled environments to real-world sourcing — with quality checks at every stage. You get curated, structured data, ready to power your AI pipelines.
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
Supplying high-quality training data for AV, robotics, fintech, healthcare, voice assistants, legal AI, and beyond.
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