The clinico-operational
brain of healthcare.

Where clinical insight meets operational execution. Koroid is the AI-native platform that unifies demand, capacity, and capability — turning healthcare's largest under-digitized layer into intelligent, real-time coordination.

Koroid brain mark — animated neural impulses

Healthcare's next transformation isn't clinical. It isn't financial. It's operational.

Three problems. One platform.

Every healthcare organization — from academic medical centers to ambulatory surgery centers to home health and hospice — is fighting the same three battles simultaneously.

Demand is volatile and poorly forecasted. Supply is fragmented across shifts, skills, and sites. Deployment — the match between the two — is still done in spreadsheets, by phone, and on intuition.

Koroid is the first platform built to solve all three as one integrated system. AI-native. Clinically grounded. Operationally alive.

~$1T
In avoidable inefficiency burdens healthcare operations each year.
40%+
Of workforce hours are still coordinated manually — the largest under-digitized layer in healthcare.
0
Platforms today unify human, digital, and physical resources in real time.
Deployed across

Koroid's customers span the full surface of healthcare delivery. The same platform powers a large academic medical center, an ambulatory surgery network, and a hospice agency — because supply, demand, and deployment look the same everywhere, even when the clinical context doesn't.

01Large Health Systems
02Academic Medical Centers
03Ambulatory Surgery Centers
04Home Health
05Hospice & Palliative Care
06Federal & Defense Health
02 — Platform

Full stack. From the shift swap
to the strategic forecast.

Koroid delivers the full operational surface — from a class-leading mobile interface frontline staff actually want to use, through advanced orchestration workflows, down to proprietary AI models trained on millions of de-identified patient journeys. Simple on the surface. Powerful underneath.

Pillar 01 — Demand

Forecast what's coming.

Clinical and operational signal ingested continuously across EMR, EHR, scheduling, and referral systems. Predictive models translate that signal into demand you can actually plan around — by shift, by skill, by site.

Forecasting · Referral flow · Census prediction
Pillar 02 — Supply

See your workforce whole.

Unify every source of capacity — employed, contingent, per-diem, credentialed — across facilities and modalities. A class-leading mobile interface for the floor, orchestration workflows for leadership, and governance for the enterprise.

Scheduling · Swaps · Credentialing · Contingent labor
Pillar 03 — Deployment

Match them in real time.

Agentic workflows translate forecasts and capacity into decisions — recommendations at the point of action, not dashboards after the fact. Proprietary AI models, trained on millions of de-identified patient journeys, compound in value with every deployment.

Agents · Recommendations · Orchestration

One platform.
The whole stack.

Most vendors solve one slice — scheduling, workforce management, analytics. Koroid is the only platform that spans from the frontline mobile experience to the intelligence layer, built as a single system from the ground up. That unified architecture is what makes operational intelligence possible at all.

03 — How it works

From live signal to clinical resilience.

01 / DATA
Live signal ingestion.
Clinical and operational signals, ingested continuously across EMR, EHR, HRIS, and facility systems — the substrate for every downstream decision.
02 / MODEL
Clinically trained interpretation.
AI models learn the interdependencies between supply and demand — the rhythms of clinical work that spreadsheets flatten and schedulers miss.
03 / ORCHESTRATION
Recommendations that move.
Agentic workflows generate actions — not dashboards. Recommendations are surfaced at the moment of decision, inside the tools teams already use.
04 / OUTCOME
Decision clarity, system-wide.
Administrative time down. Workforce satisfaction up. Overtime costs down. Operational resilience — compounding across the system, quarter by quarter.

Built for the scale and sensitivity of modern health systems.

01

Clinically trained AI.

Models trained by clinicians, on clinical logic — not general-purpose LLMs wrapped in a healthcare skin. The difference shows up in every recommendation.

02

Governance-first architecture.

No PHI handled. Secure by design. Built to meet enterprise and federal requirements with a credible compliance pathway from day one.

03

Zero-downtime deployment.

Rapid rollout across complex, multi-facility environments. Fits inside existing EMR, EHR, and HRIS investments — not on top of them.

04

Modular and scalable.

API-driven infrastructure that scales from a single unit to a national footprint. Every deployment makes the next one stronger.

Every healthy system we've ever worked inside runs on the same quiet truth: the people closest to the work know what's wrong, and the systems around them weren't built to listen.

We started Koroid because we'd spent long enough inside those systems — as clinicians, as researchers, as the people called into the Monday morning meetings where last week's gaps become this week's emergencies — to know that the answer wasn't another dashboard. It was infrastructure that could actually hear the signal and do something about it.

We're building that infrastructure. Piece by piece. For the systems that take care of everyone else.

Trusted by the institutions that set the standard.

Koroid is built with and deployed alongside the most respected health systems, platforms, and technology partners in the world. The case for operational intelligence isn't theoretical — it's being made every day, in production.

Academic Case

Featured in a Harvard Business School case study.

“Koroid: Rewiring Workforce Operations in the Age of AI” — authored by Prof. Regina E. Herzlinger, taught in the Scaling module of the Innovating in Health Care course at HBS.

Read the case on HBS →
Harvard Business School
September 2025 · HBS Case Collection
Koroid: Rewiring Workforce Operations in the Age of AI
By Regina E. Herzlinger, Brian L. Walker, Dino Bilankov

Taught in the Scaling module of the Innovating in Health Care course, the case focuses on Koroid's decision-making at a pivotal inflection point in scaling an AI-driven workforce platform across the U.S. healthcare landscape.

Accelerator · Completion

Graduated from Mayo Clinic Platform_Accelerate.

Selected into the 2025 cohort and completed the program — a clinically-rigorous accelerator pairing AI-native startups with one of the most respected health systems in the world to validate, harden, and scale solutions for real care delivery.

Cohort2025
StatusCompleted
FocusClinico-operational AI
Mayo Clinic Platform_Accelerate completion insignia
01
Infrastructure

AWS
Partner Network

APN Technology Partner · AWS Marketplace · enterprise cloud deployment.

02
Startup Program

Google
for Startups

Selected for go-to-market support, technical resources, and program access.

03
AI Compute

NVIDIA
Inception Program

Accelerating model training and inference across the Koroid intelligence layer.

Built by the people who've lived the problem.

Koroid is led by clinicians, scientists, engineers, and operators who spent years inside hospitals, research programs, production infrastructure, and the boardrooms that run health systems — before setting out to fix it.

The conviction is personal. The discipline is engineering.

01

Clinicians

Practicing physicians, nurses, advanced practice providers, and allied health professionals — surgeons, internists, nurse informaticists, clinical coordinators, and physician-scientists — who've run the rounds, covered the call shifts, and sat in the operational meetings where spreadsheets decide who gets care. We design for the floor because we've worked the floor.

02

Scientists

Data scientists and health services researchers with backgrounds in machine learning, causal inference, survival analysis, and health economics. The intelligence layer isn't a wrapper on a general-purpose model — it's purpose-built by people who've spent careers with the data.

03

Engineers

Enterprise software engineers with production experience shipping regulated software — across healthcare, financial services, and frontier-AI infrastructure. Governance-first isn't a marketing line; it's a design choice made by people who've done it before.

04

Operators

Commercial and operational leaders who've sat on the other side of the table — running service lines, leading transformation programs, and scaling enterprise software inside the kinds of institutions we now serve. They've lived the day-to-day of scheduling, staffing, and resource deployment, and they understand why it matters strategically: that these decisions don't just keep the lights on, they determine margin, access, and the quality of care a system can actually deliver.

A team that has
Treated patientsRun clinical researchPublished peer-reviewed workShipped regulated softwareBuilt AI infrastructure at scaleWorked inside the systems we serve

Real coordination, under real load.

Koroid is measured against the operational metrics leaders actually care about — not the ones that look good in a press release. The directional outcomes below reflect the kinds of gains operations teams can expect when intelligent coordination replaces spreadsheet-driven workflows.

Illustrative · Academic medical center workflow

From spreadsheet orchestration to intelligent deployment.

A typical deployment at a large academic medical center replaces decades-old, spreadsheet-driven workforce coordination across inpatient units. Operations teams move from reactive daily reshuffling to forward-looking weekly planning — with the same headcount.

~35%
Target reduction in administrative time spent on staffing coordination per unit, per week.
~20%
Target reduction in unplanned overtime and premium-labor spend on piloted services.
<30d
Typical time from kickoff to first live coordination workflow in production, with zero downtime.

Figures are directional and reflect the range of outcomes operations teams can expect within piloted services. Specific customer results available on request during reference calls, under mutual NDA.

08 — Vision for scale

From navigation to autopilot.

Manual orchestration
Autonomous operations
Individual units
National infrastructure
Data visibility
Clinical resilience
Dashboards
Agentic execution
Careers

Want to help fix how healthcare actually runs?

We're building with physicians, nurses, scientists, engineers, and operators who'd rather solve the hard operational problems than write another dashboard. If that's you, we want to hear from you — open role or not.

careers@koroid.com

Intelligent by design.
Clinically grounded. Operationally alive.

Partnerships