Your AI Model Is Only as Good as Its Training Data
Shaip delivers text, audio, image, and video training datasets at scale — in 150+ languages, built to your exact requirements. No infrastructure overhead. No sourcing headaches.
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Enterprise AI Training Data — Collected, Labeled, and Delivered at Scale
Shaip delivers the precisely labeled training data that makes models understand, interpret, and perform accurately across every data type and domain.
Fully Managed Data Collection for Every AI Modality
Every project is managed end-to-end — from requirements definition to final delivery — so your team stays focused on building models, not managing logistics.
Custom corpora for NLP, LLM fine-tuning, sentiment analysis, named entity recognition (NER), document classification, and chatbot training. Domain-specific text in any language, structured to your annotation spec.
Real-world speech datasets for ASR model training, conversational AI, wake word detection, and multilingual voice assistants. Captured across accents, dialects, demographics, and noise environments.
Visual training data for computer vision, autonomous driving, robotics, and retail AI. Captured in controlled and real-world conditions across environments, lighting, demographics, and camera types.
HIPAA-compliant clinical data workflows: physician audio, de-identified EHRs, ambient scribe recordings, and clinical note corpora. Collected by contributors with verified healthcare credentials.
Specialized Collection for Every AI Vertical
From clinical AI to autonomous driving, Shaip’s contributor network and domain expertise cover the use cases that matter most.
HIPAA-compliant physician audio, de-identified EHRs, and clinical note corpora for clinical NLP, ambient AI scribe, and diagnostic AI model training.
Instruction tuning datasets, prompt-response pairs, preference data for RLHF, and domain-specific corpora for fine-tuning large language models.
Multilingual speech datasets in 60+ languages and dialects. Utterances, call center audio, and wake word recordings for voice assistant and ASR model training.
Image and video data across environments, lighting, and demographics. Supports autonomous vehicles, robotics, surveillance, and retail visual AI applications.
Real-world driving footage and LiDAR-compatible datasets across geographies and weather conditions. Built per ADAS and autonomous driving program specifications.
Document corpora, entity-labeled text, sentiment datasets, and classification data for search, contract analysis, fraud detection, and document processing AI.
Not Just a Vendor. A Data Collection Partner Built for Enterprise AI
Most data vendors are built for volume. Shaip is built for quality, compliance, and domain precision — at any scale.
Every contributor is vetted and matched to your domain. For healthcare, that means annotators with clinical credentials. For legal or financial AI, domain-verified professionals. Your data quality depends on who collected it.
We handle sourcing, contributor management, collection, quality validation, and delivery. Your team manages an outcome, not a vendor. One point of contact. One SLA. No operational overhead on your side.
30,000+ contributors across 40+ countries means your dataset reflects the real-world diversity your model needs globally. We cover low-resource languages and dialects most vendors can't reach.
Shaip Intelligence runs quality checks during collection — not after. Six Sigma quality processes mean defects get caught before they become problems. You receive data you can trust.
HIPAA and GDPR compliance is built into every workflow. PHI/PII de-identification, explicit contributor consent, and privacy-first data handling are standard at Shaip — not optional upgrades.
Shaip has delivered training data for some of the most demanding AI programs in the world — top Fortune 5 technology companies, leading AI research labs, and major healthcare organizations.
Enterprise-Grade Compliance, Built In — Not Bolted On
Every Shaip data collection workflow is designed with privacy, security, and regulatory compliance at its core. No retrofitting. No checkbox compliance.
All healthcare data collection operates under HIPAA-compliant workflows. PHI and PII de-identification is built into the collection process. Data handling agreements available for enterprise procurement.
All European data collection follows GDPR requirements. Explicit, informed consent from every contributor. Data minimization, purpose limitation, and subject rights built into every workflow.
Automated and human-verified removal of personal identifiers from text, audio, and image data. Supports masking, transformation, and deletion of names, dates, SSNs, addresses, and other sensitive fields.
Every data contributor provides explicit, informed consent before participation. Consent management is tracked and auditable. Shaip's ethical AI commitment means contributor rights are protected at every step.
Shaip's platform runs on AWS with enterprise-grade security controls. Data encrypted in transit and at rest. Access controls, audit logging, and role-based permissions are standard across all projects.
Shaip applies Six Sigma Black Belt quality processes to data collection — borrowed from manufacturing where defect rates have real consequences. Consistent quality across every project, at any volume.
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 Results.
Two examples of how Shaip has delivered training data for demanding enterprise AI programs — and the outcomes those teams achieved.
Clinical NLP Dataset for Ambient AI Scribe Platform
A leading healthcare AI company needed a large-scale corpus of de-identified physician audio and clinical note pairs to train an ambient AI documentation system. Standard vendors couldn't meet HIPAA requirements or source credentialed clinical contributors at the required scale and quality.
Multilingual Speech Dataset for Voice Assistant Training
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.
A fully HIPAA-compliant clinical annotation workflow with PHI removed at source, achieving a 98.4% data quality pass rate on first delivery — with 100% credentialed clinical contributors verified across every record.
Over 40,000 hours of speech delivered for model training across 14 languages — including 4 low-resource dialects — with 60+ demographic profiles represented to ensure acoustic and cultural diversity across all recordings.
From Data Brief to Delivered Dataset in Four Steps
Define Your Requirements
Tell us your use case, data types, language needs, volume targets, and diversity requirements. A dedicated program manager is assigned promptly.
Build Contributor Pipeline
Shaip's 30,000+ vetted contributors are matched to your domain, language, and demographic requirements. For regulated use cases, we source credentialed professionals.
Collect & Validate
Data flows through Shaip Work while Shaip Intelligence runs automated quality validation in real time. Issues are caught and resolved before they reach your delivery pipeline.
Clean Structured Data
Delivered in your preferred format — JSON, CSV, WAV, MP4, DICOM, or custom specs — with quality metrics, diversity reports, and full collection metadata.
Frequently Asked Questions
Straight answers to the questions that matter most.
We've had bad experiences with data quality before.
That’s the most common reason teams come to us. Shaip’s quality process doesn’t start at delivery review — it starts at collection. Shaip Intelligence validates data in real time as it comes in, and our human review layer catches what automated checks miss. We provide full quality metrics and sampling reports with every delivery. If something doesn’t meet spec, we re-collect it. That’s in our SLA.
We need a very specific data type — not sure if you can handle it.
We’ve handled requirements most vendors say they can’t touch — rare dialect audio in low-resource languages, HIPAA-compliant clinical video with speaker diarization, domain-specific legal corpora. Before you assume it’s too specialized, get on a 30-minute call with one of our data specialists. We’ll tell you exactly what’s possible.
We have a tight project timeline. How does Shaip handle that?
Tight timelines are common for the teams that come to us. Our contributor network is pre-vetted and ready — we don’t start sourcing when your project starts. A dedicated program manager drives your project from day one. We scope carefully upfront, align on what’s achievable, and give you a clear delivery plan before we commit to a date.
What about HIPAA compliance and data privacy?
All Shaip data collection workflows include explicit, informed consent from contributors. HIPAA-compliant collection workflows include full PHI/PII de-identification. GDPR-compliant workflows are standard for European data. Data handling agreements are available for enterprise procurement review. Compliance is built into the process — not an optional add-on.
We don't have a full data brief yet. Can we still talk?
That’s fine — most teams don’t have a complete brief at the start. Book a data strategy call and we’ll work through your use case, model requirements, and data needs together. You’ll leave with a clear collection brief and a proposed approach, at no cost.
Ready to Remove the Data Bottleneck?
Talk to a Shaip data specialist. Tell us what your model needs. We’ll tell you exactly how we can deliver it.