Center for Advanced Imaging Innovation and Research
CAI2R is a National Center for Biomedical Imaging and Bioengineering at NYU Langone Health that develops MRI methods, AI-powered imaging algorithms, and open-source software tools for academic researchers, clinical radiologists, and medical imaging industry partners worldwide.
- Company typePrivate
- Founded2014
- HeadquartersNew York, United States
- Headcount51–100
- GTM typeB2B
- OfferingServices
What Center for Advanced Imaging Innovation and Research does
CAI2R (Center for Advanced Imaging Innovation and Research) is a National Center for Biomedical Imaging and Bioengineering operating within NYU Langone Health's Department of Radiology. Founded in 2014 and headquartered at 660 First Avenue, 4th Floor, New York, the center develops MRI methods, reconstruction algorithms, and hardware — including ultraflexible biomorphic RF coils, fast imaging sequences, diffusion MRI for tissue microstructure, and AI/ML models for image acquisition and reconstruction. Its research is oriented toward clinical applications in neurological, musculoskeletal, cardiovascular, and oncological conditions, and it is currently funded by the NIH/NIBIB P41 mechanism (P41EB017183) plus philanthropy from the Bernard and Irene Schwartz Foundation and The Big George Foundation.
CAI2R operates on an open-science model, distributing software products such as MP-PCA Denoising for MESE MRI, Quantitative Multicomponent T2 Myelin-Water Fraction Mapping, EMC-Based Quantitative T2 Mapping, the RICE Toolbox, a Vision Transformer Network for MR-EPT, and the GRASP/Yarra framework. Its flagship data asset, the fastMRI dataset, was co-developed with Facebook AI Research (Meta AI) and has been extended into breast imaging. The center serves academic medical researchers, clinical radiologists, medical imaging industry partners (including Siemens and Visage), and early-career imaging scientists through 70+ collaborative projects, 60+ service projects, the biennial i2i Workshop (780+ participants to date), and an ecosystem of 40+ partner institutions across 13 U.S. states and 10 countries.
Business-model mechanics are nonprofit and grant-funded rather than commercial: the center does not sell subscriptions or license software for revenue, and there is no disclosed ARR or pricing model. Indirect monetization occurs through OEM technology partnerships (Siemens, Visage), service projects billed to collaborators, and reputational spillovers into ISMRM governance (ISMRM Endorsed Workshop status in 2016, 2018, and 2026; ISMRM Junior Fellows in 2025; VP-Elect appointment for 2026-2027). CAI2R has produced 840+ publications, holds 40+ patents, and has logged 16,000+ software resource downloads, signaling scale of adoption that is unusual for an academic imaging center.
Center for Advanced Imaging Innovation and Research firmographics
Firmographics- Name
- Center for Advanced Imaging Innovation and Research
- Legal name
- Center for Advanced Imaging Innovation and Research
- Website
- https://cai2r.net
- Company type
- Private
- Founded year
- 2014
- Operating status
- Operating
- Headcount range
- 51–100 employees
- Short description
- CAI2R is a National Center for Biomedical Imaging and Bioengineering at NYU Langone Health that develops MRI methods, AI-powered imaging algorithms, and open-source software tools for academic researchers, clinical radiologists, and medical imaging industry partners worldwide.
- Ownership category
- akta.pro rank
Center for Advanced Imaging Innovation and Research industry classification
Industry- Product category
- Biomedical Imaging Research
- NAICS
- Navigational, Measuring, Electromedical, and Control Instruments Manufacturing (3345), Computer Systems Design and Related Services (54151)
- SIC
- Surgical & Medical Instruments & Apparatus (3841)
- akta.pro primary industry
- Radiology AI, CAD & Advanced Visualization Software (HLAHABAJ)
Keywords
Where Center for Advanced Imaging Innovation and Research is headquartered
LocationHeadquarters
- HQ city
- New York
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Center for Advanced Imaging Innovation and Research business model
Business model- GTM type
- B2B
- Offering type
- Services
- Cost components
- Personnel, Technology or R&D, Operations, Infrastructure, Marketing or Sales
Revenue model
- Government Research Funding: CAI2R is a National Center for Biomedical Imaging and Bioengineering supported by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under award number P41EB017183. This NIH grant funding supports the center's research operations.
- Philanthropic Support: Generous support from Bernard and Irene Schwartz and The Big George Foundation for radiology research at NYU Langone Health
Go-to-market motion1 record
Distribution channels5 records
Marketing channels9 records
Center for Advanced Imaging Innovation and Research product offering
Product offeringCore offering
CAI2R develops novel MRI methods, algorithms, and hardware for translational biomedical imaging research, and shares these innovations as open-source software tools, datasets, and imaging frameworks. Its core offerings include fast MRI acquisition techniques, deep-learning image reconstruction algorithms, advanced RF coil hardware, tissue microstructure mapping, AI-based disease detection, and the fastMRI dataset. The center also delivers these capabilities through external Service and Collaborative Projects with academic, clinical, and industry partners.
Product overview
CAI2R is a National Center for Biomedical Imaging and Bioengineering that creates technologies for better acquisition, reconstruction, and analysis of medical images. The center operates as a research organization rather than a product company, sharing its innovations as open-source software resources and datasets. Its portfolio includes MRI processing tools (MP-PCA Denoising, T2 Mapping packages, RICE Toolbox), AI-powered imaging solutions (Vision Transformer Network for MR-EPT, breast imaging AI systems), the fastMRI dataset, and the GRASP/Yarra imaging framework. The center also hosts the biennial i2i Workshop for training and knowledge dissemination in biomedical imaging.
Differentiator
Problem solved
Functional benefit
Products and services
- MP-PCA Denoising for MESE MRI An open-source denoising tool that uses Marchenko-Pastur principal component analysis to remove noise from multi-echo spin-echo MRI data, improving image quality for biomedical researchers working with quantitative MRI acquisitions.
- Quantitative Multicomponent T2 Myelin-Water Fraction Mapping Package An open-source software package that quantifies myelin content using multi-T2-component fitting of multi-echo spin-echo MRI data, intended for neuroscience and white-matter imaging research.
- EMC-Based Quantitative T2 Mapping Package Open-source software for quantification of T2 relaxation time and proton density from multi-echo spin-echo MRI data using extended phase graph modeling, for biomedical MRI researchers.
- RICE Toolbox (Rotational Invariants of the Cumulant Expansion) Open-source software for estimation of multiple variations of the cumulant expansion from diffusion MRI data, used for microstructural tissue characterization in biomedical imaging research.
- Vision Transformer-Based Network for MR Electrical Properties Tomography A 3D vision transformer-based neural network architecture for fast and accurate reconstruction of electrical properties (conductivity and permittivity) of objects and tissues from MRI data, plus synthetic phantom datasets and network weights, for biomedical imaging researchers.
- fastMRI Dataset A large-scale open MRI dataset developed by CAI2R with Facebook AI Research to accelerate AI research in medical imaging, including extensions for breast imaging to encourage new directions in AI research on MRI.
- GRASP/Yarra Imaging Framework An open imaging acquisition and reconstruction framework using golden-angle radial sparse parallel MRI for free-breathing abdominal and breast imaging, used by an international network of institutions.
- i2i Workshop A biennial training workshop devoted to emergent imaging technologies, bringing together experts from academia, industry, and tech for discussions on imaging hardware, software, image analysis, and image-guided therapy, with prior editions endorsed by ISMRM.
Quantifiable outcome
- 840+ scientific publications in peer-reviewed journals
- +3 more outcomes
Companies that use Center for Advanced Imaging Innovation and Research
Customer profileNamed customers8 records
Segments4 records
Ideal customer profiles3 records
Center for Advanced Imaging Innovation and Research technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability10 records
Feature11 records
Center for Advanced Imaging Innovation and Research partnerships and signals
Strategic signalPartnerships
14 partnerships are on record, tiered core and major.
- NYU Langone HealthcoreHost institution providing the clinical research environment, facilities, and administrative support. CAI2R is a part of the Center for Biomedical Imaging in the Department of Radiology at NYU Langone Health.
- NYU Grossman School of MedicinecoreAcademic medical center partner providing the institutional home for CAI2R researchers and the clinical environment for translating imaging innovations into practice.
- SiemenscoreMajor technology partner with successful research collaborations in MRI technology development. Collaborations with NYU Langone's radiology department have focused on faster and shorter MRI exams while maintaining image quality, addressing access issues.
- VisagecoreTechnology partner for AI imaging systems integration in radiology workflows. Collaboration focused on making AI systems interoperable and easy for radiologists to use within existing clinical systems.
- Northwestern UniversitymajorActive service project collaboration for quantitative detection of coronary microvascular dysfunction in long COVID patients using cardiovascular MRI. Researchers: Daniel Kim, PhD and Daniel Lee, MD.
- Medical University of South CarolinamajorActive service project for quantitative neuroimaging assessment of white matter integrity in aging and Alzheimer's disease. Researcher: Andreana Benitez, PhD.
- University of California at Los AngelesmajorActive service project for quantitative MRI and deep learning technologies for classification of non-alcoholic fatty liver disease. Researcher: Holden H. Wu, PhD.
- Memorial Sloan Kettering Cancer CentermajorActive service project for development of clinical CEST MR fingerprinting method for treatment response assessment in brain metastases. Researcher: Ouri Cohen, PhD.
- Weizmann Institute of SciencemajorInternational collaboration for cellular viscosity as a marker for Alzheimer's disease pathology using combined MR spectroscopy and PET study. Researchers: Ivan Kirov, PhD and Assaf Tal, PhD.
- Icahn School of Medicine at Mount SinaimajorActive service project for characterization of renal allograft fibrosis and prediction of outcome using quantitative MRI approach. Researchers: Sara C. Lewis, MD and Octavia Bane, PhD.
- Stanford UniversitymajorConcluded service project for focused-ultrasound-mediated therapy and neuromodulation research. Researcher: Kim Butts Pauly, PhD.
- MIT Research Laboratory of ElectronicsmajorInternational research collaboration with MIT on electromagnetic simulations for MRI including the coupling matrix compression research led by Ilias Giannakopoulos.
- Harvard UniversitymajorMultiple collaborations including tissue microstructure imaging with diffusion MRI, transcranial RF stimulation research, and workshop speaker participation.
- University of MinnesotamajorConcluded service project for imaging human brain function with minimal mobility restrictions. Researcher: Michael Garwood, PhD.
Scale indicators9 records
Recent moves6 records
Expansion highlights5 records
Center for Advanced Imaging Innovation and Research competitors and assessment
Company assessmentDirect peers
- Subtle Medical: AI-focused startup using deep learning to accelerate MRI and PET imaging, directly aligned with CAI2R's core MRI acceleration and AI reconstruction research thrust.
- Arterys: Cloud-native AI medical imaging platform with FDA-cleared deep-learning tools for MRI and CT, directly comparable in productizing imaging AI algorithms into clinical radiology workflows.
- Mayo Clinic Department of Radiology: Major academic radiology department with large-scale MRI research, NIH-funded centers, and translational imaging programs operating at comparable scale and breadth to CAI2R.
- Martinos Center for Biomedical Imaging: Leading academic imaging research center (MGH/MIT) doing comparable MRI methods, AI, and translational imaging research, with similar NIH funding model and open-science orientation.
- Stanford AIMI (Center for Artificial Intelligence in Medicine & Imaging): Academic medical imaging AI program with parallel foundation model and clinical translation initiatives that directly compete for talent, grants, and industry partnerships.
Broad incumbents
- GE Healthcare: Major MRI and imaging equipment maker with substantial internal AI research teams. Overlaps with CAI2R's MRI acquisition and AI reconstruction focus, and competes for clinical adoption of AI-enabled imaging tools.
- Philips Healthcare: Global imaging equipment and clinical informatics vendor with broad portfolio overlapping CAI2R's MRI/AI research areas, including internal deep-learning reconstruction efforts in MR.
- Siemens Healthineers: Global MRI and medical imaging equipment manufacturer with whom CAI2R has active research collaborations and joint patent filings (e.g., AI muscle characterization). Comparable as both research partner and potential commercializer of MRI AI advances.
Emerging players
- Qure.ai: AI medical imaging company applying deep learning to radiology workflows. Comparable in deep-learning image interpretation, though primarily focused on X-ray and CT head/trauma use cases.
- Hyperfine: AI-enabled portable MRI developer using deep-learning reconstruction; overlaps with CAI2R's fast MRI and AI reconstruction focus but operates at commercial scale in a portable point-of-care niche.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks5 records
Key highlights7 records
Customer concentration
Center for Advanced Imaging Innovation and Research social profiles
Digital presenceCenter for Advanced Imaging Innovation and Research financial estimates
Financial estimateRevenue estimate
Valuation estimate
Center for Advanced Imaging Innovation and Research leadership team
Management profileNumber of profiles
Profiles10 records
Center for Advanced Imaging Innovation and Research funding detail
Funding detailFunding overview
Funding rounds
Investors
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Center for Advanced Imaging Innovation and Research M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Center for Advanced Imaging Innovation and Research
What does Center for Advanced Imaging Innovation and Research do?
CAI2R develops novel MRI methods, algorithms, and hardware for translational biomedical imaging research, and shares these innovations as open-source software tools, datasets, and imaging frameworks. Its core offerings include fast MRI acquisition techniques, deep-learning image reconstruction algorithms, advanced RF coil hardware, tissue microstructure mapping, AI-based disease detection, and the fastMRI dataset. The center also delivers these capabilities through external Service and Collaborative Projects with academic, clinical, and industry partners.
Is Center for Advanced Imaging Innovation and Research a public or private company?
Center for Advanced Imaging Innovation and Research is a private company. It is classified as nonprofit foundation owned and is currently operating.
When was Center for Advanced Imaging Innovation and Research founded?
Center for Advanced Imaging Innovation and Research was founded in 2014. It employs 51 to 100 people.
Where is Center for Advanced Imaging Innovation and Research based?
Center for Advanced Imaging Innovation and Research is headquartered in New York, United States, in the North America region.
How does Center for Advanced Imaging Innovation and Research make money?
Two revenue lines are on record. Government Research Funding is the primary driver. The others are philanthropic Support.
Who are Center for Advanced Imaging Innovation and Research's main competitors?
Direct peers on record are Subtle Medical, Arterys, Mayo Clinic Department of Radiology, Martinos Center for Biomedical Imaging and Stanford AIMI (Center for Artificial Intelligence in Medicine & Imaging). Broad incumbents are GE Healthcare, Philips Healthcare and Siemens Healthineers. Emerging players are Qure.ai and Hyperfine.
Does Center for Advanced Imaging Innovation and Research have an API?
No public API is recorded for Center for Advanced Imaging Innovation and Research.
What industry is Center for Advanced Imaging Innovation and Research in?
Center for Advanced Imaging Innovation and Research's product category is Biomedical Imaging Research. Its primary akta.pro industry code is HLAHABAJ, Radiology AI, CAD & Advanced Visualization Software. Its NAICS code is 3345 and its SIC code is 3841.