1m Risk Operating System
Unified risk platform for healthcare with continuous intelligence and quantified exposure
Platform · Cloud SaaSCompany source
Company profile
About 1m
1m empowers healthcare leaders to make confident, risk-aware decisions using continuously updated, quantified risk intelligence.
Company description 1m official website
Mission. To establish a data-driven standard for understanding and managing risk in healthcare.
Primary marketPopulation Health & Healthcare Analytics
Commercial modelCommercial information available on request
Company presenceOfficial website
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01 · Operating footprint
Where the Company operates
Company-profile context for clinical focus, customers, deployment, integration, milestones, and partnerships.
Clinical focus
No clinical focus areas are currently listed.
Who it serves
- Health Systems
- Healthcare Organizations
Deployment & integration
Cloud Saas deployment with recorded integration context.
Geographic context
MarketsUnited States
Company sourceOfficial website
Company milestones
Platform expansion
Named to CB Insights' annual Digital Health 50 in October 2025 as one of the top 50 most promising private digital health companies globally. Published 'Resilient by Design: A Risk-Integrated Decision Framework' in July 2025.
Partnerships
Recorded partners
No partners are currently listed.
02 · Flagship portfolio
Products, workflows, and platform capabilities
Selected source-backed Company products and the available commercial context.
03 · Research intelligence
Research Intelligence evidence
Publications, preprints, clinical validation, and regulatory records in Evidence Position order.
Evidence position
Publications, clinical validation, and regulatory records connected to this Company appear here.
Research
Publications & preprints
No linked records are currently available.
Clinical validation
Clinical-trial records
No linked records are currently available.
Regulatory
Regulatory records
No linked records are currently available.
04 · Company-reported outcomes
Outcomes and case studies
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
Material risk identification
Identifies new material risks comprising over 20% of enterprise risk register
Early detection
Surfaces material changes months in advance through daily risk evaluation
Strategic optimization
$300M+ in strategic decisions refined or reprioritized through risk-adjusted analysis
Implementation speed
Go live in 30 days from kickoff to actionable risk intelligence
Exposure quantification
$4B in previously unseen downside exposure identified for single health organization
Undisclosed health organization
Identified previously unseen downside exposure and optimized strategic decisions
$4B in previously unseen downside exposure quantified; $300M+ in strategic decisions optimized through risk-adjusted analysis
05 · Leadership
Leadership team
Leadership profiles and professional links from the current Company record.
Chris Giuliano
Co-CEO & CTO
Jeffrey Ellis
Co-CEO
Alanna Todd
Senior Engineer
Alicia Hetrick
Senior Engineer
Andrew Ryan
VP, Infrastructure & CISO
Christine Thompson
Senior Product Manager
Eric Pfahl
Principal Scientist
James Donovan
Senior Engineer
06 · Company updates
Updates from 1m
Recent articles published on 1m's official website.
07 · HAIC coverage
Coverage and analysis
Health AI Central reporting that mentions this Company.
No HAIC coverage is currently linked to this Company.
08 · Official presence
Company sources and channels
Curated official destinations from the active Company record.
09 · Market pathway
Additional Companies in this Market
Other active Companies in the same market, selected alphabetically from the HAIC directory.
Market context
Population Health & Healthcare Analytics
Companies providing AI-powered analytics for population health management, healthcare data integration and analysis, risk stratification, care gap identification, or value-based care analytics. Focuses on analyzing data across patient populations to improve outcomes at scale and enable data-driven decision-making across health systems.
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Linked research, clinical, and regulatory source pathways.
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Record-level provenance and review context.