Harmony
AI-enabled cancer registry abstraction and quality improvement
Software · Cloud SaaSCompany source
Company profile
About Triomics
Triomics is a healthcare AI company that specializes in transforming unstructured oncology electronic health records into structured, actionable datasets for cancer centers and life sciences organizations. The company's AI platform reads across hundreds of pages of patient notes, pathology reports, imaging, molecular data, and scanned documents spanning years to produce expert-level, cited answers directly integrated into clinical workflows. The platform serves three primary oncology workflows through its product suite: PRISM for clinical trial matching and screening, Symphony for visit preparation and pre-charting, and Harmony for cancer registry abstraction and quality improvement. Triomics' AI agents reason at the patient level rather than page-by-page, enabling comprehensive analysis of complex longitudinal oncology records. Trusted by 4 out of 10 top U.S. cancer centers and 10+ NCI-designated institutions, Triomics processes over 120,000 charts monthly and screens 65,000+ patients for trials each month. The company's technology integrates natively with major EMR systems including Epic, OncoEMR, and iKnowMed, and is approved on the Epic App Marketplace. Every output includes source citations traceable back to specific lines in patient records, ensuring auditability and clinical trust. Triomics serves both cancer centers seeking to improve operational efficiency and patient care, and life sciences companies looking to accelerate clinical trial enrollment through AI-enabled pre-screening, precise feasibility analysis, and optimized trial design. The company is backed by leading AI and healthcare investors including Battery Ventures, Lightspeed Venture Partners, Nexus Venture Partners, and Y Combinator.
Company description Triomics official website
Mission. Our goal is simple: less time searching the chart, more time acting on what matters.
Primary marketClinical Trials & Research
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
- Cancer
- Oncology
Who it serves
- Academic Medical Centers
- Cancer Centers
- Clinical trial sponsors
- Community Oncology Practices
- Life Sciences companies
- NCI-designated institutions
Deployment & integration
Cloud Saas · Embedded deployment with recorded integration context.
Recorded integration context: Epic, iKnowMed, OncoEMR.
Geographic context
MarketsUnited States
Company sourceOfficial website
Company milestones
Platform expansion
Announced $22M funding raise. MSK deployment for clinical trial matching and screening (October 2025). Connecticut implementation for AI cancer clinical trial screening (November 2025). Mount Sinai launch of AI-powered clinical trial matching platform (January 2026). ASCO 2025 abstract publication (February 2026). Serves 4 out of 10 top U.S. cancer centers and 10+ NCI-designated customers.
Partnerships
Recorded partners
- Community oncology practices
- Leading academic medical centers
- Memorial Sloan Kettering Cancer Center (MSK)
- Mount Sinai Health System
- Multiple NCI-designated cancer centers
02 · Flagship portfolio
Products, workflows, and platform capabilities
Selected source-backed Company products and the available commercial context.
OncoLLM
Patient-level reasoning AI that reads across entire oncology records
Model · EmbeddedCompany source
PRISM
AI-powered clinical trial matching and screening for oncology patients
Software · Cloud SaaSCompany source
Symphony
Visit preparation and pre-charting automation for oncology providers
Software · Cloud SaaSCompany source
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
Understanding unrealized trial enrollments following patient-to-trial matching with large language models.Surgery · Mar 1, 2026
PRISM: Patient Records Interpretation for Semantic clinical trial Matching system using large language models.NPJ digital medicine · Oct 28, 2024
Distilling large language models for matching patients to clinical trials.Journal of the American Medical Informatics Association : JAMIA · Sep 1, 2024
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.
30% lift in trial enrollment
ASCO 2025 abstract with leading academic medical center
95% published accuracy
Clinical trial matching
40% more matches generated
Clinical trial screening
70% less time in chart review
Patient record screening
80% reduction in pre-charting time
New patient visits at community oncology practice
45% reduction in pre-charting time
Follow-up visits
96% abstraction accuracy
Cancer registry curation
75% faster case abstraction
Registry workflow
60% faster case finding
Registry workflow
100% patient visit coverage
Trial screening at NCI-designated cancer center
3x throughput vs manual screening
Clinical trial matching
Mount Sinai
AI-powered clinical trial-matching platform to expand access to cancer research
Connecticut Cancer Center
AI cancer clinical-trial screening to improve access
Memorial Sloan Kettering Cancer Center (MSK)
AI-powered clinical trial matching and screening to improve patient access to cancer research
Leading academic medical center
Clinical trial matching and screening
30% lift in trial accruals, 95% published accuracy, 40% more matches generated
Cancer registry implementation
Cancer registry abstraction and data curation
96% abstraction accuracy, 75% faster case abstraction, 60% faster case finding
Leading community oncology practice
Visit preparation and pre-charting automation
80% reduction for new patient visits, 45% reduction for follow-up visits
NCI-designated cancer center
Pre-screening every upcoming visit against every active trial with cited evidence
70% less time per patient record, 100% coverage, 3x the throughput of manual screening
05 · Leadership
Leadership team
Leadership profiles and professional links from the current Company record.
No active leadership profiles are currently listed.
06 · Company updates
Updates from Triomics
Recent articles published on Triomics's official website.
No Company updates are currently listed.
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
Clinical Trials & Research
Companies using AI to optimize clinical trial design, accelerate patient recruitment, match patients to trials, predict trial outcomes, or improve clinical research efficiency. Includes patient enrollment and screening platforms, AI-powered trial matching, and tools that reduce the time and cost of bringing new treatments to market.
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Linked research, clinical, and regulatory source pathways.
Expanded product, deployment, integration, and partnership research.
Record-level provenance and review context.