High-quality training data, expert human feedback, and rigorous evaluation — everything you need to build AI systems that actually work.
Trusted by the world's leading AI organizations
A 2-minute overview of our platform capabilities, from data ingestion to production-ready training sets.
A complete suite of data services designed for teams building production AI systems.
Human-in-the-loop annotation across every modality — images, video, text, audio, and 3D point clouds with pixel-perfect accuracy.
Preference data, safety evaluations, and instruction-following assessments from domain experts who understand model behavior.
Custom evaluation frameworks with expert human judges. Go beyond automated metrics to measure real-world performance.
AI-generated training data validated by human experts. Scale your datasets while maintaining quality and diversity.
Dataset cleaning, deduplication, and quality control. Transform noisy data into clean, consistent training corpora.
RESTful APIs, Python SDK, and native integrations with your ML pipeline. Programmatic access to all platform capabilities.
From bounding boxes to semantic segmentation, our expert workforce delivers pixel-perfect annotations across every modality — images, video, text, audio, and 3D point clouds.
Our domain-expert annotators generate high-quality preference rankings, safety evaluations, and instruction-following assessments to align your models with human values.
Design bespoke evaluation frameworks tailored to your model's specific capabilities. Our expert evaluators assess nuance, reasoning, and domain expertise that automated metrics miss.
Augment your datasets with high-quality synthetic examples. Our hybrid pipeline combines AI generation with expert human validation to ensure accuracy and diversity.
Transform noisy, inconsistent datasets into clean, well-structured training corpora. Our curation pipeline identifies duplicates, corrects errors, and ensures label consistency across millions of examples.
Our rigorously vetted annotator workforce includes PhD researchers, licensed professionals, native speakers in 80+ languages, and specialized domain experts in healthcare, law, finance, and engineering.
Our multi-layered quality assurance framework ensures every label meets your exact specifications with contractual SLA guarantees.
Live data from our annotation platform — updated every second.
Specialized annotation workflows, domain-expert annotators, and compliance frameworks tailored to your industry's unique requirements.
HIPAA-compliant medical image annotation, clinical NLP, radiology labeling, and pathology slide analysis by licensed medical professionals.
Document extraction, fraud detection labeling, sentiment analysis for trading, and regulatory compliance data with SOC 2 Type II certification.
3D LiDAR annotation, sensor fusion labeling, lane detection, traffic sign classification, and scenario-based edge case identification.
Object manipulation labeling, spatial reasoning data, assembly instruction annotation, and quality inspection training data.
Our streamlined process gets you from project kickoff to production-ready training data faster than any alternative.
Work with our solutions team to design your annotation ontology, quality criteria, and delivery format.
Connect your cloud storage or upload directly. We support all major formats and modalities.
Our trained workforce labels your data with multi-stage quality assurance and consensus validation.
Receive production-ready data via API or export. Review quality reports and iterate on guidelines.
See how leading organizations use AnnotRift to accelerate their AI development pipelines.
Our research team publishes peer-reviewed work on annotation methodology, data quality, and human-AI collaboration.
We introduce a novel consensus mechanism that dynamically weights annotator contributions based on demonstrated expertise and agreement patterns.
This paper presents a multi-axis preference framework that captures nuanced human judgments across helpfulness, accuracy, safety, and style dimensions.
We demonstrate conditions under which carefully validated synthetic data achieves superior downstream performance compared to purely human-generated datasets.
We're not just another labeling vendor. We're a technology company that happens to employ the world's best annotators.
Our annotators include PhD researchers, licensed physicians, certified engineers, and native speakers in 80+ languages. They understand your data at a fundamental level.
Real-time quality dashboards, inter-annotator agreement metrics, consensus scoring, and contractual accuracy guarantees. No black boxes.
Process millions of labels per day with sub-24-hour turnaround. Our infrastructure auto-scales workforce allocation based on project demands.
SOC 2 Type II, HIPAA, GDPR, ISO 27001. VPC peering, dedicated infrastructure, and geo-fenced annotator access for your most sensitive data.
Our annotation frameworks are informed by peer-reviewed research. We publish our methods and continuously improve based on empirical evidence.
Dedicated customer success managers, custom ontology design, and ongoing optimization. We're invested in your model's success, not just label volume.
From raw data ingestion to production-ready training sets — manage your entire data pipeline in one place.
Upload from S3, GCS, Azure Blob, or via API. Support for images, video, text, audio, and 3D point clouds up to 100TB per project.
Design multi-stage annotation workflows with conditional routing, quality gates, and automated escalation for edge cases.
Use your models or ours to generate initial labels. Human annotators verify and correct, reducing cost by up to 60%.
Multi-reviewer consensus, spot-check sampling, golden set validation, and real-time inter-annotator agreement monitoring.
Real-time dashboards for project progress, quality metrics, annotator performance, cost tracking, and SLA compliance.
Export in any format (COCO, Pascal VOC, YOLO, custom JSON). Native integrations with SageMaker, Vertex AI, and Databricks.
We handle the most sensitive data in AI — from proprietary model outputs to healthcare records. Our security infrastructure is built for the most demanding enterprise requirements.
Native integrations with the tools your ML team already uses. No workflow disruption.
Join 200+ enterprise teams using AnnotRift to power their AI development with high-quality training data.