Refine and verify your datasets with expert curation and validation — ensuring clean, consistent data that drives trustworthy AI results.
Get a Free TrialTrusted by global 50+ AI teams
At Intellisane AI, we meticulously curate and validate your data to eliminate errors, inconsistencies, and bias. Our process enhances data quality so your AI models learn from reliable, high-integrity information.
Using bounding box annotations, AI models can efficiently detect and track pests and diseases in crops by identifying affected areas in images.
This enables early intervention, helping farmers reduce crop damage, improve plant health, and boost overall yields through timely, data-driven decisions.
Intellisane AI's semantic segmentation services break down every pixel in satellite and drone images, helping AI systems distinguish between crops, soil, and surrounding vegetation.
This allows for precise monitoring of crop health, growth patterns, and field conditions, giving farmers a powerful tool for optimizing agricultural practices and improving yield.
By offering expert annotation for GIS and geospatial data, Intellisane AI helps you unlock critical insights into land use, irrigation needs, and soil health.
Accurate labeling of geographical features in aerial and satellite imagery empowers AI-driven decision-making, improving land management and agricultural sustainability.
Intellisane AI specializes in categorizing images of livestock to assist in tracking, health monitoring, and behavior analysis.
Our detailed annotation services streamline AI applications that monitor livestock conditions, ensuring optimal health and productivity in farming operations.
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 begin by assessing your raw datasets to identify quality gaps. Through manual review and automated tools, Intellisane AI cleans, normalizes, and enriches your data. Multiple validation steps and client feedback ensure that the final output is consistent, accurate, and ready for AI training.
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
Supporting diverse sectors with curated, validated data for finance, healthcare, retail, autonomous vehicles, and beyond.
Keep up to date with everything about our data annotations
