The operating companies, shared services, and software chartered when the evidence held up and no better-positioned builder existed. Each entry carries its status, its operator, and its record.
Each one is chartered as a company, not a project: its own entity, its own operator, a licensed rights position, and a closure condition written down before the first hire.
A reference lab for biomarkers captured passively from ordinary sensors: voice, gait, respiration, facial expression, wearable and metabolic signals, standardized into panels, reported like any other lab result, and governed by an integrated review board and clinician network.
An operating system for supervising an accountable digital care operation. A clinical leader reviews decisions, evidence, and billing as a queue of work with owners and dates, instead of hunting through a dashboard for whatever went wrong.
Verified practitioner consults delivered online, with a real operating stack behind the booking screen: intake, a longitudinal care record, agents that carry the routine work, a clinician copilot, and the compliance apparatus a regulated consult requires.
An HSA card that pays patients a data dividend for consented, de-identified health data. No surveys, no tracking: the value exchange rides on the card transaction itself. The privacy architecture (HIPAA Expert Determination de-identification, transparent revocable consent, IRB oversight for research partnerships) is the work, not the marketing.
A patient access venture, sponsored by the nonprofit Netspective Foundation, that helps people obtain the health records they are already entitled to and helps provider organizations meet their information-blocking obligations.
Built once so no venture spends its first quarter rebuilding what already exists next door. Each is built to stand alone and can be spun out if the demand is there.
An open initiative for scientific research reproducibility. Companion executable source code repositories pair a published paper with the code, data, and documentation needed to reproduce it, turning static publications into living evidence.
The companion shared service we run when Revenue Engineering is too early. The outcome it owns is proven demand: a named audience, a claim that survives contact with them, and a first step they will actually take.
A governed evaluation platform for hospitals and health systems. Instead of a procurement queue full of unranked vendor claims, a health system gets structured evaluation: who has been vetted, on what evidence, against which internal need.
Finds reimbursed demand in healthcare and states it in the terms a business plan needs: the claims-defined cohort, the counties where the gap is largest, the CMS signal that proves it, the CPT and HCPCS codes and bundles that pay for it, and the revenue at stake. It is a shared service to every other venture and the intelligence spine of Fund II.
A healthcare growth and care-access capability that turns fragmented patient demand into timely, scheduled care. The team designs, launches, and operates AI-driven demand intelligence, orchestration, and routing on behalf of provider organizations, filling real provider capacity instead of reporting clicks and leads. The portfolio's ventures draw on it as the shared demand-and-access engine.
An execution layer that turns the Microsoft 365 or Google Workspace a provider already pays for into a working digital front door. The argument is that most organizations do not need to buy more healthcare software; they need the software they own to actually run the work. It serves the portfolio as the shared front-door capability.
The shared revenue capability every company in the portfolio draws on. We define an outcome, build an AI Workforce™ that owns it end to end, and run it on one platform with the same observability and reporting for every firm.
A continuous clinical research infrastructure platform that reads signals across consented health transaction data for earlier detection and continuous research. Payshent is its funding and consent layer; Symvion is the intelligence layer that turns compensated patient data into detectable signal.
The established firms behind the work: delivery, regulated engineering, and revenue operations the ventures draw on.
Revenue operations and denial management built for home-based care. We run the operational layer over the intake-to-cash lifecycle for home health, home infusion, DME, hospice, and respiratory providers.
A nonprofit operating company that equips medical researchers, clinicians, and patient advocates with software engineering, data architecture, AI, and machine learning to advance real-world evidence.
Engineering and delivery for regulated software: the bridge between AI-generated code and a product that survives FDA submission, FedRAMP authorization, HIPAA audit, and SOC 2.
Software counts as a work here. Each entry records its licence and its status rather than implying one.
One engineering setup that installs the same way on Windows through WSL, Linux, macOS, in a container, or in a cloud agent session, with the shell, git credentials, repository layout, and everyday tools already configured.
Studios builds only when a thesis still holds up and no better-positioned founder or company exists. The first build is the cheapest useful experiment, paid work beats pilots, and a venture that cannot earn revenue against a real budget line gets closed early.
Come with a market you have run, a problem someone already pays to solve, and the operator who would run it.
NewStudios
A new page argues that Studios should build only when a serious search finds no better-positioned builder, starting with the cheapest useful experiment.
UpdateStudios
The Studios page lists its ventures, shared services, operating companies and maintained software, each with its status, its operator and its record on file.