Industry 01
Healthcare operations
Generative AI that optimizes clinical workflows and decision-making through predictive analytics — personalized patient care, delivered faster and ethically. Built with clinicians, governed for regulators, explained for patients.
Revenue cycle, denials first
A denial that takes two to three days of manual rework becomes a drafted, evidence-backed appeal routed to a named approver — then prior auth follows the same loop.
Intake and eligibility
Census reports, face sheets and insurance documents read on arrival: patients reconciled, coverage verified, financial class assigned before coding begins.
Coding support, not coding replacement
ICD, CPT and HCPCS recommendations with documentation-completeness and missing-signature checks. Ambiguity goes to a coder, not into a claim.
Capacity, not just recovery
RCM roles go unfilled for months. Automating the repetitive half of the queue releases the experienced people you already have.
Clinical data management — Proto AI
Protocols authored from an evidence-grounded blueprint, then parsed, mapped to CDASH and SDTM, turned into eCRF specs and validated live — with page-level traceability throughout.
Diagnostics operations — BioLens
Instrument failures and QC excursions predicted before they cost a run, reagent demand forecast by expiry, field service guided from symptom to root cause.
Biomarker and progression models
Longitudinal models that track disease progression and treatment response, validated against real clinical data.
Knowledge that stays
Protocol logic, validation rules and mapping decisions captured in a queryable library, so institutional knowledge survives turnover and amendments.
Industry 02
Life Sciences
Predictive analytics across drug discovery and clinical development — reducing timelines while improving precision medicine. Proto AI, our flagship feasibility platform, anchors the clinical-trial side of this work.
Explore Proto AI →