Six capabilities that usually live in separate firms, applied to data where accuracy is not optional. We keep them together because results only earn trust when the model, the systems and the evidence are one design.
Accounting entry reconciliation, close and controls — with provenance the CFO can sign and the auditor can follow.
Analysis of clinical, safety and real-world data for teams working under regulatory scrutiny.
Variant and sequence analysis where every call can be traced back to the evidence behind it.
Analysis of exploration and geological data — drill holes, assays and models — to raise confidence in resource decisions.
Models trained on your data — ledgers, clinical records, genomic pipelines — not a generic assistant.
Into the systems you run: ERP for finance, LIMS and EDC for pharma, analysis pipelines for genomics.
Matching, anomaly detection and reconciliation at volume, with exceptions surfaced, not buried.
Every result traced to its source — document, sample or sequence — and to the model decision behind it.
Controls and documentation for regulated, fiduciary and clinical environments.
Focused engagements across finance, life sciences and mining — from feasibility to production.
We will run a focused analysis on a sample of your own data and show the provenance behind every result — before you commit to anything.
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