AI-ready data, grounded in the science.

Trust begins with the data layer

From GOSTAR to governed data lakes and knowledge graphs, we make scientific data findable, consistent and traceable, ready for AI from the moment it lands.

One portfolio, 
across the R&D lifecycle

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Is the data behind your models
curated, or just collected?

Curated chemistry, biomarker and unified multi-omics data, plus clinical trial outcomes and PK structured for MBMA and QSP, all checked by scientists. Every dataset can be customized to your schema and vocabularies, with the same expert QC on every record.

GOSTAR: every value read from source by a medicinal chemist and standardized to one vocabulary and one unit set.

0M+
curated SAR data points
0M+
chemical structures
0
of top 20 pharma/ TechBios
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Does scientific data arrive FAIR,
or get fixed downstream?

Curation pipelines validated against your ontologies, cloud-native lakes and governed data products, with metadata, vocabularies and schema sets agreed with your scientists. Data arrives clean, consistent and ready for analytics and AI, instead of being fixed at every use.

Study data unified on one governed lake with metadata standards and role-based access, for a Top 20 pharma.

$0M+
saved through a clinical study data lake
0M
study records migrated off legacy
0
R&D data domains unified
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Do chemistry, biology and the clinic
share one vocabulary?

Ontologies and vocabularies governed as assets, semantic layers over your lakes and legacy systems, and knowledge graphs you can query in plain language. Chemistry, biology and clinical data connect for people and AI, with every answer traced to source.

Target, disease, pathway and compound evidence in one ontology-driven intelligence graph, queryable in plain language.

0+
public databases in one target-intelligence graph
0%+
accuracy on AI-extracted metadata
0%
less manual curation time