Accurate Data Annotation for High-Performance AI Models
Stop losing model accuracy to poor-quality labels. Shaip’s 30,000+ credentialed domain experts — physicians, linguists, lawyers, engineers — annotate your data with enterprise precision.
- HIPAA & GDPR Compliant — Every project, by default
- 99%+ Accuracy SLA — Or we re-annotate at no charge
- Fast POC — Validate quality before you commit
- NDA Protected — Your data stays in a controlled environment
Talk to a Data Annotation Expert
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The Data Annotation Infrastructure Behind Leading AI Models
Shaip delivers the precisely labeled training data that makes models understand, interpret, and perform accurately across every data type and domain.
Annotation for Every Data Type
From NLP pipelines to autonomous vehicles — every annotation type handled with domain expertise and multi-layer quality control.
Text Annotation
Unlock structured insights from unstructured text. Powers NLP, LLM fine-tuning, chatbots, and search relevance systems.
Image Annotation
Pixel-level labeling at scale — bounding boxes to complex semantic segmentation, delivered with 99%+ accuracy.
Audio Annotation
Language-specific linguists annotate speech data for conversational AI, ASR systems, and voice apps in 65+ languages.
Video Annotation
Frame-by-frame annotation for temporal intelligence — surveillance, action recognition, and autonomous driving datasets.
LiDAR / 3D Point Cloud Annotation
Annotate spatial data from LiDAR sensors for autonomous vehicles, robotics, and urban mapping. High-density point clouds handled with enterprise-grade security.
Multimodal Annotation
Label and categorize data spanning multiple formats — text, images, audio, & video within a single dataset. Enables AI models to process complex inputs across different media types.
Built for the Generative AI Revolution
While most annotation providers are playing catch-up, Shaip has dedicated GenAI annotation tracks — from RLHF to multimodal data for foundation model training.
RLHF Data
Human preference pairs and ranked responses for reinforcement learning from human feedback in LLM training.
LLM Evaluation
Expert evaluators assess output quality, hallucination, coherence, and safety for your AI models.
Multimodal Annotation
Paired text-image-audio-video datasets for training next-gen multimodal foundation models.
Fine-Tuning Datasets
Task-specific instruction datasets with high-quality prompt-response pairs for domain fine-tuning.
Annotators Who Actually Understand Your Data
Generic crowd workers can’t annotate radiology scans or legal contracts accurately. Shaip deploys credentialed domain experts — the same professionals who work in those fields.
- Credentialed professionals on every project
- Dedicated project team — not anonymous crowd workers
Generic annotator misses clinical nuance
Crowdworkers can't distinguish PHI from clinical terminology — a medical SME catches this immediately.
Shaip's medical SME annotates at 99%+ accuracy
Board-certified physicians and healthcare professionals handle all medical annotation — no shortcuts.
Medical Experts
Physicians, Radiologists, Nurses, Pharmacists, Medical Coders
Healthcare AILegal Experts
Lawyers, Paralegals, Contract Reviewers, Compliance Officers
Legal AIFinancial Experts
CAs, Analysts, Risk Managers, BFSI Specialists, Auditors
BFSI AILinguists
Native Speakers, Translators, Dialect Specialists — 65+ Languages
NLP / ASRTech & AI Experts
Developers, ML Engineers, Data Scientists for RLHF & LLM Eval
GenAI / RLHF6 Reasons AI Teams Choose Shaip
Not just another annotation vendor — the reliable partner for enterprise AI data programs.
Fast POCs
No months-long onboarding. We deliver a proof-of-concept with sample annotated data quickly — so you can validate quality before committing to full scale..
Compliance & Security First
HIPAA, GDPR, ISO, SOC 2 compliance built into every project. Patented secure platform, NDA on day one, and encryption at rest and in transit.
Domain-Specific Expertise
Physicians for medical data. Lawyers for legal documents. Linguists for dialect speech. The right expert for every task — not a generic crowd.
Strong Technology Partnerships
Deep integrations with AWS, Azure, GCP, and leading MLOps platforms. Plug directly into your existing stack — Labelbox, SageMaker, Databricks, and more.
Enterprise-Grade Data Quality
6 Sigma methodology, multi-stage QA, dedicated black belts, and inter-annotator agreement checks. 99%+ accuracy SLA — or we re-annotate at no charge.
Flexible Global Workforce
30,000+ annotators across time zones, languages, and domains. Scale from 10K to 10M labels on demand — no headcount overhead required.
Creating clinical nlp is a critical task that requires tremendous domain expertise. I can clearly see that you are several years ahead in this area. I want to work with you and scale you.
Real Projects. Real Outcomes.
From autonomous vehicles to cardiac diagnostics — see how Shaip delivers annotation at the intersection of precision and scale.
LiDAR annotation for SmartCity autonomous vehicle project delivered precise 3D point cloud coverage of vehicles, pedestrians, road infrastructure, and dynamic obstacles — enabling reliable multi-class object detection across complex urban environments.
Annotated 6,000 complex medical cases against InterQual clinical guidelines with full HIPAA compliance — streamlining prior authorization workflows and significantly reducing turnaround time for a major healthcare payer.
End-to-end cardiac CT annotation workflow with radiologist-in-the-loop review cycles achieved 99.8% validated model accuracy — converting specialist know-how into consistent labels for early amyloidosis detection across multi-batch cohorts.
Complex medical cases annotated against InterQual clinical guidelines — fully HIPAA compliant, covering prior authorization workflows for a major healthcare payer across multiple clinical specialties.
Validated model accuracy achieved through expert cardiac CT annotation with radiologist-in-the-loop review cycles — delivering consistent, high-quality labels across multi-batch CT cohorts for amyloidosis detection.
Multi-class LiDAR annotation covering vehicles, pedestrians, road infrastructure, and dynamic obstacles — spanning urban SmartCity environments with 3D bounding box and segmentation labels.
From Raw Data to Ready-to-Train Labels
A streamlined 4-step process that gets started quickly and delivers with zero compromise on quality.
Share Requirements
Tell us your data type, volume, domain, and deadline. We scope and propose a tailored plan.
Expert Assignment
Domain-matched annotators assigned. Guidelines defined. Your named PM takes ownership from day one.
Annotation + QA
Multi-layer annotation with 6 Sigma quality checks. Every label reviewed and validated to your accuracy SLA.
Delivery
Annotated data in JSON, XML, CSV, COCO, Pascal VOC, YOLO — delivered directly into your pipeline.
Build Better AI with Accurate Training Data
Join hundreds of AI teams who trust Shaip to annotate their most critical datasets. Start with POC — talk to our team today.