Curated Data
Domain experts curate, label, and QA every dataset against your own guidelines – so models learn from signal, not noise.
Your Own Enterprise
Data is Your Moat
Turn proprietary data into a durable advantage – with the platform, experts, and workflows trusted by frontier AI teams.
Yourproprietarydata
- LLM fine-tuning
- Model evaluation
- RAG pipelines
- Agent workflows
- Data curation
Platform
Data Annotation & Model Evaluation
Scaling AI in an enterprise means solving data challenges first: quality, security, and speed. One layer handles all three.
Data Security & Compliance
SOC 2 Type II and ISO 27001 infrastructure with granular access controls, full audit trails, and your data staying yours.
Deployment Speed
Stand up new projects in days, not quarters – with workflows that plug directly into your existing data stack.
Our Solutions
Scalable, Secure Data Solutions
Purpose-built for the requirements enterprise AI teams face in production: isolation, elasticity, and time to value.
Keeping Your Data Secure
Your data stays inside one governed system – encrypted end-to-end, access-controlled by role, and fully auditable at every step.
- SOC 2 Type II
- Encrypted end-to-end
- Full audit trails
Flexible & Scalable Workflows
Compose annotation, review, and evaluation stages to match how your team works – then scale each stage independently as volume grows.
- Ingest
- Annotate
- QA review
- Deliver
Fast Onboarding & Deployment
A dedicated team is assembled around your use case from day one – project leads, domain experts, and QA already in place.
Use Cases
Every use case your AI roadmap needs
From evaluation to fine-tuning to agents – one platform and one expert network across all of them.
Evals & Red Teaming
Benchmark and stress-test models with expert reviewers and structured rubrics.
RLHF & SFT
Preference data and supervised fine-tuning sets built to your guidelines.
Agents & RL Environments
Multi-step trajectories, tool use, and environment feedback at scale.
RAG
Retrieval corpora curated, chunked, and validated for grounded answers.
Multimodal Annotation
Text, image, video, and audio labeled in one place – at frontier scale.
Data Curation & QA
Versioned, audited datasets with full lineage from raw signal to train set.
One Platform
Unify Your AI Data Workflows
Consolidate every data vendor, modality, and pipeline stage into one control center. One place to manage projects, track quality, and move data from raw signal to production – without gluing tools together.
Inputs
- Text
- Image
- Video
- Audio
- Agents
- Vendors
SuperAnnotate Control Center
-
Projects
-
Quality
-
Workflows
Unified Orchestration Layer
Outputs
- Benchmarks
- Models
- Production
Enterprise proof
What our enterprise clients say
Global teams rely on SuperAnnotate for secure, high-quality data at production scale.
We reviewed several companies and selected SuperAnnotate due to the high quality of their data. They stand out for their data quality, attention to detail, and fantastic communication. They are an invaluable part of our data pipeline. I don't see them as a vendor, I see them as a partner.
Databricks
Research Engineer
SuperAnnotate enabled us to transform deep medical expertise into scalable, structured ground truth data within our Databricks pipeline, driving 10x evaluation throughput, rapid 5-day iteration cycles, and a new level of alignment between clinical, data, and engineering teams.
Flo Health
Clinical AI Lead
SuperAnnotate gave us the quality controls and reviewer depth we needed to scale evaluation across languages and markets – without slowing down product iteration. The platform let our domain experts and annotation teams work in one place, with full visibility into every dataset.
GetYourGuide
Director of Engineering
Rated 4.9 out of 5 on G2
Leader – Data Labeling, Enterprise
Build on
Human Intelligence
Expert teams and secure infrastructure – turning your enterprise data into production-ready AI.