Accelerating AI in Pharmaceuticals
Fuel your predictive biomedical models with structured molecular data and literature. We curate the complex data required to reduce drug development timelines by years.
Industry Overview
The future of pharmaceuticals relies on AI to drastically reduce the time and cost of drug discovery. Dserve AI empowers biotech and pharma companies by curating, structuring, and annotating massive biomedical data, scientific literature, and molecular imagery.
AI Challenges
Pharmaceutical R&D generates petabytes of unstructured data, from complex molecular graphs to dense scientific papers. Training AI to predict molecular bindings or identify novel targets requires highly structured, ontologically precise data that is difficult to curate at scale.
Dserve AI Solutions
We act as an extension of your research team. Our annotators meticulously structure biomedical literature, annotate molecular structures, and curate complex research data so your data scientists can focus on building breakthrough predictive models.
High-Impact AI Use Cases
Discover how our specialized data solutions power state-of-the-art models and drive measurable outcomes across real-world domain projects.
Molecular Graph Annotation
Labeling atomic structures and binding sites for predictive protein-folding models.
Specialized annotation pipeline designed for enterprise scale and accuracy.
Literature Curation
Extracting gene-disease relationships from thousands of academic biomedical papers.
Specialized annotation pipeline designed for enterprise scale and accuracy.
Clinical Trial Analysis
Structuring trial results and adverse event reports for predictive safety modeling.
Specialized annotation pipeline designed for enterprise scale and accuracy.
Specialized Expertise
- Biomedical data creation & structuring
- Scientific literature annotation (NER)
- Molecular & cellular image annotation
- Gene-disease relationship mapping
- Clinical trial data extraction
Why Choose Us
Our specialized life sciences team understands biological ontologies and complex scientific literature, ensuring your training data is scientifically sound and rigorously structured.
Do you have life sciences experts on staff?
Yes, for drug discovery projects, we deploy annotators with backgrounds in biology, chemistry, and pharmacology.
What ontologies do you support?
We work with standard ontologies like MeSH, SNOMED, and custom proprietary ontologies developed by our clients.
Can you process complex PDF research papers?
Yes, our OCR and NLP pipelines are specifically tuned to extract tabular data and text from dense scientific PDFs.
Do you support chemical structure drawing?
Yes, our teams are proficient in using chemical drawing tools to annotate 2D and 3D molecular structures.
Ready to Accelerate Your AI?
Talk to our Drug Discovery data experts and start your custom pilot project today.
Talk to an AI Data Expert