Boost the performance of your generative AI and large language models with expertly labeled, diverse, and scalable training data tailored for text, image, audio, and video generation.
Get a free bookTrusted by global 50+ AI teams
Fact-checking is the process of verifying the accuracy of information before it is published or shared.
A viral post claimed a celebrity had passed away, but fans later discovered it was a hoax after checking official news outlets.
Before publishing an article about a new health trend, the journalist consulted multiple medical studies to ensure the information was accurate.
A politician’s speech included statistics that seemed suspicious, prompting viewers to look up the actual government data
A person staring at a mirage in the desert, unaware that the shimmering water is an illusion.
Delusional
An elderly woman thoughtfully reviewing her budget with calm focus in a cozy living room.
Sensible
A child sitting alone on a rainy sidewalk, looking up with tears in their eyes.
Helpless
Text summarization is the process of reducing lengthy content—such as articles, reports, or emails—into shorter, focused versions that retain the original meaning. It allows users and AI systems to extract key information quickly, improving efficiency and comprehension. Summarization is used in chatbots, legal tech, news platforms, and enterprise tools to help people make faster, more informed decisions.
Summarization distills long-form text into clear, concise summaries that save time and enhance understanding.
Why is data annotation important?
Data annotation is crucial for training AI models, as it provides labeled examples that help the model learn to recognize patterns and make accurate predictions. Without quality annotated data, AI systems cannot effectively understand or interpret real-world inputs like images, text, or audio.
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 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
Power your transportation and navigation solutions with the highest quality training data and accelerate ML developments.
Transform your manufacturing and robotics operations with our precise data annotation services, driving efficiency, enhancing safety, and powering your machine learning models for optimal performance.
Transform healthcare solutions through accurate and comprehensive medical data annotations, ensuring enhanced diagnostic capabilities and improved patient outcomes.
Enhances the capabilities of AI systems with best-quality training data to monitor crop health, predict yields, and automate processes, ultimately driving efficiency and sustainability in the agricultural sector.
High-quality training data is the backbone of generative AI—shaping models to produce accurate, coherent, and domain-specific outputs.
Keep up to date with everything about our data annotations
