Documents & Language
Document Intelligence Datasets
Structured annotations for documents, OCR, extraction, classification, and language workflows.
Turning ExpertiseInto Intelligence.
End-to-end data services for AI development — from expert annotation and dataset preparation to validation, evaluation, and quality assurance.
PrecisionTrustRigor
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Why
Eidoryx?
01
Precision, by Design
Clear specifications, defined annotation protocols, calibrated workflows, and structured review help translate complex requirements into precise, consistent data.
02
Expertise That Understands
Specialized data requires more than labeling. Domain-informed expertise brings the terminology, context, and judgment needed to interpret difficult cases and make informed, consistent decisions.
03
Quality You Can Verify
Quality is built into every layer through defined standards, validation, discrepancy resolution, structured review, and continuous improvement. Documentation, review outcomes, and measurable quality signals make the process and results visible.
04
Built Around Your Data
From images and documents to scientific, biological, geospatial, and multimodal datasets, workflows adapt to the structure, domain, requirements, and purpose of each project.
Complex data requires more than labels — it requires context, expertise, and quality at every stage of the data lifecycle.
How we work, from first brief to final dataset
Precision starts with understanding the task. Every project begins with understanding its purpose, requirements, data, and quality expectations.
We then build the workflow around those requirements—combining appropriate expertise, structured processes, technology, and review.
1Understand
We agree the task, labels, edge cases and quality targets with you, and write them into clear guidelines.
2Pilot
We annotate a small sample to those guidelines. You review it, and we refine the approach together.
3Annotate
The full dataset is labelled to the approved guidelines, with progress updates along the way.
4Review
Experts check the work, resolve disagreements and track measurable quality signals before sign-off.
5Deliver
You receive the data in your format, with guidelines, review outcomes and quality documentation.
Annotation services for every kind of data
Images, video, audio, text, documents, 3D, and more — labelled, reviewed, and validated to your specification.
Image Annotation
Boxes, polygons, masks, keypoints, and tags for still images.
Video Annotation
Frame-by-frame labels, object tracking, and event tagging over time.
Audio & Speech Annotation
Transcription, speaker labels, and sound event tagging.
Text & NLP Annotation
Entities, intent, sentiment, classification, and relations in text.
Document & OCR Annotation
Layouts, fields, tables, and handwriting in scanned documents.
3D, LiDAR & Point Cloud
3D cuboids, point segmentation, and sensor fusion labels.
Geospatial & Satellite
Footprints, land cover, and change detection in aerial imagery.
Medical & Microscopy Imaging
Pathology slides, cells, tissues, and medical scans.
AI Evaluation & LLM Data
Human review, ranking, and benchmark data for AI model outputs.
Data Validation & QA
Auditing, correcting, and cleaning existing labelled data.
Domain expertise across 26 industries
Our core domains, where we go deepest, followed by the other industries we serve. Select one to see how we prepare, annotate, and validate data for it.
Core domain
Healthcare & Life Sciences
Domain-informed annotation for medical imaging, pathology, and biological data, built on strict specifications and expert review.
Pathology & tissueRadiology & medical imagingMicroscopy & cells
View capabilities 
Core domain
Agriculture & Environment
Field-ready labels for crop, disease, weed, and pest datasets across ground, drone, and satellite imagery.
Crop & disease detectionWeed & pest labellingDrone & satellite imagery
View capabilities More industries
01
Autonomous Driving & Automotive
Labeling camera, LiDAR, and radar data for perception, ADAS, and automotive AI.
02
Financial Services & Insurance (BFSI)
Structuring financial documents, claims, and records for extraction and risk models.
03
Retail & E-Commerce
Tagging products, catalogs, and shopper imagery for search, recommendation, and visual AI.
04
Manufacturing & Industrial AI
Labeling defects, parts, and production imagery for inspection and industrial AI.
05
Geospatial & Earth Observation
Labeling satellite, aerial, and geospatial imagery for mapping and earth observation.
06
Security & Surveillance
Annotating video and imagery for detection, tracking, and safety monitoring.
07
Robotics
Labeling sensor, vision, and manipulation data to train perception for robots.
08
Document AI & OCR
Extracting and labeling text, tables, and fields in documents for OCR and document AI.
All
Explore all industries
Browse every industry we annotate data for.
Datasets built by domain experts
Where expertise becomes usable data. Domain knowledge, structured schemas, and quality-focused workflows come together to create datasets designed for training, evaluation, benchmarking, and research across specialized fields.
Scientific & Biological
Microscopy & Biological Data
Domain-specific datasets supporting biological imaging, research, and quantitative analysis.
AI Evaluation
Evaluation & Benchmark Datasets
Curated datasets designed to assess model outputs, task performance, consistency, and failure cases.
Research, case studies and insights
Turning expertise into evidence. Explore research, papers, case studies, benchmarks, and emerging ideas from across the AI and data landscape, alongside perspectives and work developed by Eidoryx.
Data Quality
01
When Good Labels Still Make a Bad Dataset
Correct labels alone don't guarantee reliable data. Consistency, coverage, and validation matter too.
Read moreDomain Expertise
02
When Does AI Data Need a Domain Expert?
Some data requires more than labeling — it requires specialized knowledge, context, and judgment.
Read moreAI Evaluation
03
What Happens When AI Meets the Unexpected?
Rare, unusual, and ambiguous cases can reveal where AI systems and their data fall short.
Read moreWhat happens after I book a demo?
We email you to confirm your slot and send the video call link. On the 30-minute call we walk through our workflow and quality checks. If it’s a fit, we can run a small pilot on your data.
Can we run a pilot before committing?
Yes. We annotate a small sample to your guidelines and you review the results. You can check quality and agree the approach before we scale up.
Do you use our annotation tool or yours?
Either. We work in your tool or ours, whichever suits your project and security needs. We deliver in the formats your pipeline needs, such as COCO, YOLO, Pascal VOC, JSON, CSV and custom formats. We agree these at scoping.
Do domain experts review the data?
Yes, all data is reviewed by experts before final verification and delivery. Our directors have biotechnology, healthcare and agriculture backgrounds. For specialized projects we can also bring in qualified reviewers or your own specialists.
Who owns our data?
You do. We don’t use it to train or improve any AI model unless you authorize it in writing. We agree this with you at the start of each project.
How do you keep our data secure?
We limit access to the people who need it and protect accounts with authentication controls. Depending on the project, we also use encryption, secure transmission and confidentiality obligations. See our Data Policy, or email contact@eidoryx.com.
AI Needs More Than Data.
Talk to our team about annotation programs, datasets, and enterprise AI infrastructure tailored to your domain.