Selected engagements, in our clients' own terms. Some details are abstracted out of respect for clinical, operational, or contractual sensitivity — every study is reviewed and approved by the partner before publication.
A regional health network deployed HorusVue across 14 community ophthalmology clinics for routine DR screening. The system processes ~3,200 fundus studies per month, with full clinician-reviewable provenance and a configurable referral threshold.
Reduced specialist-review time per study by 62%; reduced false-negative rate on the referral set by 31% relative to prior workflow. Earned full clinical sign-off in eight weeks.
A quantitative research group consolidated seven disparate market datasets into a single curated collection with full lineage and per-record provenance. ALEX handled schema harmonisation, duplicate resolution, and drift monitoring across multi-year ranges.
Dataset construction time reduced from ~14 weeks per refresh to under three days. Downstream model performance improved meaningfully — but more importantly, the team trusts the dataset.
An applied-research lab with eighteen ML engineers adopted RIVER as the architecture-of-record for shared pipelines across four product lines. Compatibility verification caught structural errors days earlier in the cycle than the prior workflow.
Average time-to-first-training reduced from 9 days to 1.5. Cross-team architecture review became a 20-minute meeting instead of a half-day workshop. Pipelines are now shared, branched, and reviewed as code.
A regional air-ambulance operator deployed TIC across its eight-aircraft fleet to support cross-border medical evacuations. The system handles pilot-to-crew and crew-to-patient translation in five language pairs, fully offline.
Crew-reported communication confidence improved across all surveyed cohorts. No mission cancellations attributable to translation availability in the first 14 months of deployment.
The case studies above started as conversations. If your problem deserves deep attention rather than a generic deployment, we should talk.
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