Cycle Clarity Connections
Remote REI monitoring platform connecting patients with local OB/GYN ultrasounds and remote fertility specialists
Platform · Cloud SaaSCompany source
Company profile
About Cycle Clarity
Cycle Clarity is a healthcare AI company specializing in fertility treatment optimization through cognitive computing and advanced ultrasound analysis. The company's platform standardizes follicular monitoring scans, automates follicle detection and measurement, and uses AI-driven predictions to determine optimal trigger timing for egg retrieval. By reducing ultrasound scan time from 15-20 minutes to approximately 2-3 minutes per patient, Cycle Clarity improves patient comfort while increasing clinic throughput and efficiency. The company offers an integrated suite of solutions including MyCycle Clarity for patient engagement, Lab Clarity for laboratory workflow management, Image Clarity for ultrasound standardization, and Patient Clarity for enhanced patient experience. Their Cycle Clarity Connections program expands access to reproductive endocrinology and infertility (REI) care by enabling remote monitoring, allowing patients to receive local OB/GYN ultrasounds while REIs monitor progress remotely through ovarian videos. Cycle Clarity serves fertility clinics, reproductive endocrinologists, embryology labs, and IVF patients. The platform integrates with existing EMR systems and has processed over 912,000 follicles across 61,000+ patient appointments, saving thousands of hours for both patients and clinical staff. The team comprises physicians, embryologists, computer engineers, data scientists, ultrasonographers, image annotators, and biostatisticians dedicated to advancing fertility care through applied AI in healthcare.
Company description Cycle Clarity official website
Primary marketMetabolic Health & Nutrition
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
- infertility
- IVF treatment
- ovarian stimulation monitoring
Who it serves
- Embryology Labs
- Fertility Clinics
- IVF Centers
- OB/GYN Practices
- Reproductive Endocrinologists
Deployment & integration
Cloud Saas deployment with recorded integration context.
Recorded integration context: EMR systems (unspecified vendors).
Geographic context
MarketsUnited States
Company sourceOfficial website
Company milestones
Platform expansion
Launch of Cycle Clarity Connections program for remote REI monitoring and expanded access to care for underserved patients
Partnerships
Recorded partners
- Arizona Reproductive Medicine Specialists (ARMS)
- Illume Fertility
- OB/GYN practices through Connections program
- Reproductive Biology Associates (RBA)
02 · Flagship portfolio
Products, workflows, and platform capabilities
Selected source-backed Company products and the available commercial context.
Image Clarity
Ultrasound image processing and analysis for fertility monitoring
Software · Cloud SaaSCompany source
Lab Clarity
Integrated downstream data analytics for fertility lab workload management
Software · Cloud SaaSCompany source
MyCycle Clarity
AI-powered follicular scan standardization and retrieval timing prediction for fertility clinics
Software · Cloud SaaSCompany source
Patient Clarity
Patient-facing fertility monitoring and communication platform
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
No linked records are currently available.
Clinical validation
Clinical-trial records
Convolutional Neural Network in Ovarian Follicle IdentificationNCT04545918 · Sponsor · UNKNOWN
Regulatory
Regulatory records
Follicle ClarityK212012 · 510k · Jan 19, 2022
04 · Company-reported outcomes
Outcomes and case studies
Company-reported outcomes and customer stories are distinct from linked Research Intelligence evidence.
Scan time reduction
From 15-20 minutes to 2-3 minutes per patient
Patient hours saved
10,213 hours saved across patient base
Clinic hours saved
13,277 hours saved for clinical staff
Follicles detected
912,206 follicles processed across 61,278 appointments
Patient throughput
2-3 patients every 15 minutes with Cycle Clarity
Arizona Reproductive Medicine Specialists (ARMS)
Streamlined workflow and increased patient throughput for fertility monitoring
Ability to see 2-3 patients every 15 minutes with spot-on measurements
Illume Fertility
Increased patient volume and reduced wait times while allowing providers to work at top of license
Decreased patient wait times and reduced burden on higher-level providers
RBA (Reproductive Biology Associates)
Standardized follicular scanning and optimal trigger timing for ovarian stimulation cycles
Scan time reduced from 15-20 minutes to 3 minutes per patient
05 · Leadership
Leadership team
Leadership profiles and professional links from the current Company record.
06 · Company updates
Updates from Cycle Clarity
Recent articles published on Cycle Clarity'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
Metabolic Health & Nutrition
Companies using AI to optimize metabolic health, provide personalized nutrition recommendations, or analyze metabolic responses to food for generally healthy or non-diabetic populations. Emphasizes wellness, performance optimization, and preventive health rather than management of a diagnosed disease.
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Linked research, clinical, and regulatory source pathways.
Expanded product, deployment, integration, and partnership research.
Record-level provenance and review context.