From paper and disconnected instruments to a connected digital lab — electronic data capture, sample management, instrument integration, and screening pipelines that make every result findable, standardised, and reusable.
"Data quality at the source is the foundation of everything downstream."
AI and analytics are only as good as the underlying data. We digitise how the lab captures, structures, and connects its work — so results are recorded once, standardised with ontologies, and instantly available for querying, reporting, and modelling.
Our heritage in high-throughput screening means we understand data at scale: instrument feeds, assay results, and imaging pipelines brought into one structured, reusable foundation.
Intuitive ELN-style capture and collaboration, replacing paper and spreadsheets with structured, searchable records.
LIMS capabilities to track samples, reagents, and workflows across the lab with full traceability.
Bring instrument feeds and assay results — optical, label-free, and high-content imaging — into one structured pipeline.
High-throughput screening informatics at scale, drawn from deep drug-screening and compound-repurposing experience.
Standardise data with robust structure and ontologies so it is Findable, Accessible, Interoperable, and Reusable.
Query, visualise, and report across your digitised data — and feed it directly into the AI layer.
Our approach is grounded in real drug-screening and compound-repurposing practice: target- and cell-based assays, access to compound libraries, high-content imaging (Cell-Painting), and integrated high-throughput screening hardware — the kind of data volume and variety that makes digitisation discipline essential.
Screening data handled with structure and rigour
Target- and cell-based assay data unified into one pipeline
Cell-Painting and instrument feeds captured as FAIR data
A digitised, FAIR lab is what makes AI trustworthy: models operate directly where structured experimental data is captured, in a continuous design–predict–validate loop that improves over time.
AI — FAIR lab data is the fuel for the agentic AI layer.
Discovery & Pre-Clinical — capture assay and screening evidence on one FAIR spine.
Tell us how your lab captures data today — we'll help you make it structured, connected, and AI-ready.
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