04 / MLR
AI/ML Data Readiness
AI is only as good as the biology underneath it.
We make biological datasets model-ready, curated, harmonized, versioned, and benchmarked for foundation models and predictive pipelines that scientists can actually trust.
[ Overview ]
What we do
for your team.
Model teams shouldn't spend 80% of their time cleaning data. We deliver AI-ready corpora with schema harmonization, ontology mapping, lineage tracking, and reproducible benchmarks baked in.
From omics feature stores to chemistry graphs, our data products are designed for retraining, auditing, and cross-team reuse, not one-shot experiments.
BiopharmaAI-first BiotechDiagnostics
[ Capabilities ]
- Ontology mapping & schema harmonization (UMLS, SNOMED, ChEBI, GO)
- Dataset versioning, lineage & governance
- Feature stores for omics, chemistry & clinical data
- Benchmark suites for model validation and drift detection
- FAIRified datasets aligned to AI/ML training pipelines
[ Outcomes ]
- 01
Training corpora with provable provenance and consent
- 02
Reduced time-to-first-model for research and platform teams
- 03
Reusable data products across therapeutic areas and projects