TEXT

At Seen Labs, we help you unlock insights from unstructured clinical notes, patient dialogues, scientific literature, and more—by annotating medical text at scale.

Our expert-driven process organizes and enriches massive volumes of text, making it usable for LLMs, NLP tasks, and decision-support systems. We transform raw sentences into meaningful structure for model training and evaluation.

Real-World Applications

Text-based data is vast, messy, and highly valuable. Here’s how we turn it into fuel for innovation across domains.

• Clinical Notes
• From tagging diagnoses and medications to highlighting post-treatment symptoms—we make unstructured records AI-ready.
• Scientific Papers
• We extract drug-target relationships, classify biomedical terms, and structure findings in pharmacological research.
• Chat Transcripts
• Patient messages are rich with meaning. We annotate intent, condition severity, and emotional tone to improve chatbot responsiveness.
• Insurance Claims
• We highlight patterns in treatments, interventions, and prescribing behaviors by tagging relevant data across claim files.
• Public Data
• From tweets to forums, we identify symptoms, sentiment, and misinformation, helping researchers track real-world reactions to therapies.

Built for Health AI

• Scale Meets Accuracy
• Millions of weekly annotations from a vetted network of domain experts.
• Quality by Design
• Rigorous QA and incentive-based performance measurement ensure precision.
• Dataset Intelligence
• Generate statistical insights to inform training strategy and iteration.
• Privacy and Compliance
• We meet the highest standards for security and health data handling.
• Purpose-Built for Healthcare
• Seen Labs focuses solely on medical, biological, and life science data—and we know it deeply.

Let’s Build Together

Need structured medical text for your next AI breakthrough?  

We’re here to help you annotate smarter, faster, and more reliably.