RainPath vs Docus

RainPath builds software for anatomopathology labs that replaces slow chemical staining workflows and cuts down on administrative busywork. Its virtual staining turns unstained biopsy slides into diagnostic-quality H&E and IHC images in seconds, without toxic reagents. Pathologists get faster, more consistent tissue images while labs spend less on chemicals and equipment.

Where most digital pathology vendors focus on slide viewers or LIS connectors, RainPath stacks virtual staining with eight LabOS modules that run a case from inbox through billing. That combination targets French labs that want one vendor for both stain-free imaging and INSi-backed registration, not a point tool for either problem alone.

The company combines optical imaging with deep learning models trained on paired tissue datasets. Its virtual staining covers label-free H&E generation, H&E-to-IHC stain translation, and in-silico multiplex biomarker prediction from standard H&E slides. RainPath is part of the Paris Saclay Cancer Cluster, shown among its public supporters on rainpath.ai.

Beyond staining, RainPath Software automates lab operations: RainPath Bons handles order registration with French health system integrations (INSi, ADRi, eSante prescriber directory), and RainPath Compte Rendu pre-drafts pathology reports with voice dictation built in. RainPath Voice is a desktop medical dictation app for macOS and Windows that works inside any clinical software. Labs host data on HDS-certified servers in France with GDPR compliance.

Docus gives diagnostic laboratories an AI layer on top of their lab information system, turning raw test results into clinical interpretation reports for doctors and plain-language summaries for patients. Labs can also deploy modules for follow-up test recommendations, ICD compliance checks, and digital requisitions that route into an LIS. The company also sells separate products for physicians and consumers, including clinical decision support and a personal AI health assistant.

Where general clinical chatbots chase open-ended Q&A, Docus is wired for the lab result lifecycle. It produces separate doctor and patient report formats from the same result set, runs medical necessity and repeat-testing compliance checks before claims get denied, and uses historical biomarker data to deepen interpretations. Labs connect through API or HL7 feeds, or run white-labeled Docus interfaces when a full integration is not ready.

Reference labs, direct-to-consumer labs, and in-house hospital labs use Docus to cut interpretation workload and lift follow-up test volume. A Blood Cells Laboratories case study on the site reports 230% test volume growth and a follow-up testing rate that rose from 5% to 27%. Physicians get SOAP note generation, lab interpretation, and patient messaging scaled by patient count. Consumers upload labs, chat with an AI doctor, check symptoms, or pay for expert second opinions.

Docus states HIPAA, GDPR, and SOC 2 alignment, encrypts data at rest and in transit, and does not require personally identifiable information for core lab workflows. The company is based in Wilmington, Delaware.