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Center for Advanced Imaging Innovation and Research

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Namestring
Center for Advanced Imaging Innovation and Research
Legal namestring
Center for Advanced Imaging Innovation and Research
Websiteurl
cai2r.net
Company typeenum
Private
Founded yearint
2014
Descriptiontext

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.

Short descriptiontext

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.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
51–100
akta.pro rankint
HeadquartersNew York, United States
HQ citystring
New York
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
biomedical imaging research, MRI acquisition methods, deep learning reconstruction, RF coil hardware design, translational radiology research
Industry1 code
1Radiology AI, CAD & Advanced Visualization Software
CodeHLAHABAJPrimaryYes
NAICS code2 codes
  • Navigational, Measuring, Electromedical, and Control Instruments Manufacturing3345
  • Computer Systems Design and Related Services54151
SIC code1 code
  • Surgical & Medical Instruments & Apparatus3841
Product category
Biomedical Imaging Research
Social media profiles3 records
GTM motion1 record

Each record includes

Type, Description, Source

Revenue model2 records
1Government Research Funding
TypeLicensing Royalties
Description

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.

cai2r.net
2Philanthropic Support
TypeLicensing Royalties
Description

Generous support from Bernard and Irene Schwartz and The Big George Foundation for radiology research at NYU Langone Health

cai2r.net
Marketing channels9 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels5 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Personnel, Technology or R&D, Operations, Infrastructure, Marketing or Sales
GTM typeB2B
B2B
Offering typeServices
Services
Core offering1 text field

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.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 4 values shown
  • 840+ scientific publications in peer-reviewed journals
+3 more records
Product overview1 text field

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.

Product and service8 records
1MP-PCA Denoising for MESE MRI
CategoryMRI Processing Software
Description

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.

2Quantitative Multicomponent T2 Myelin-Water Fraction Mapping Package
CategoryMRI Processing Software
Description

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.

3EMC-Based Quantitative T2 Mapping Package
CategoryMRI Processing Software
Description

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.

4RICE Toolbox (Rotational Invariants of the Cumulant Expansion)
CategoryDiffusion MRI Software
Description

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.

5Vision Transformer-Based Network for MR Electrical Properties Tomography
CategoryAI Imaging Software
Description

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.

6fastMRI Dataset
CategoryOpen Research Dataset
Description

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.

7GRASP/Yarra Imaging Framework
CategoryImaging Platform Framework
Description

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.

8i2i Workshop
CategoryTraining Program
Description

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.

Scale indicator9 records

Each record includes

Type, Value, Description, Source

Partnership14 partners
Strategic tierCoreTypeStrategic or Co-development Partner
Description

Host 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.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Academic medical center partner providing the institutional home for CAI2R researchers and the clinical environment for translating imaging innovations into practice.

Strategic tierCoreTypeTechnology or Integration
Description

Major 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.

Strategic tierCoreTypeTechnology or Integration
Description

Technology 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.

Strategic tierMajorTypeStrategic or Co-development Partner
Description

Active 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.

Strategic tierMajorTypeStrategic or Co-development Partner
Description

Active service project for quantitative neuroimaging assessment of white matter integrity in aging and Alzheimer's disease. Researcher: Andreana Benitez, PhD.

7University of California at Los Angeles
Strategic tierMajorTypeStrategic or Co-development Partner
Description

Active service project for quantitative MRI and deep learning technologies for classification of non-alcoholic fatty liver disease. Researcher: Holden H. Wu, PhD.

cai2r.net
Strategic tierMajorTypeStrategic or Co-development Partner
Description

Active service project for development of clinical CEST MR fingerprinting method for treatment response assessment in brain metastases. Researcher: Ouri Cohen, PhD.

Strategic tierMajorTypeStrategic or Co-development Partner
Description

International 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.

Strategic tierMajorTypeStrategic or Co-development Partner
Description

Active 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.

Strategic tierMajorTypeStrategic or Co-development Partner
Description

Concluded service project for focused-ultrasound-mediated therapy and neuromodulation research. Researcher: Kim Butts Pauly, PhD.

Strategic tierMajorTypeStrategic or Co-development Partner
Description

International research collaboration with MIT on electromagnetic simulations for MRI including the coupling matrix compression research led by Ilias Giannakopoulos.

Strategic tierMajorTypeStrategic or Co-development Partner
Description

Multiple collaborations including tissue microstructure imaging with diffusion MRI, transcranial RF stimulation research, and workshop speaker participation.

Strategic tierMajorTypeStrategic or Co-development Partner
Description

Concluded service project for imaging human brain function with minimal mobility restrictions. Researcher: Michael Garwood, PhD.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight5 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

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.

TypeDirect peer
Description

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.

TypeBroad incumbent
Description

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.

TypeBroad incumbent
Description

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.

TypeDirect peer
Description

Major academic radiology department with large-scale MRI research, NIH-funded centers, and translational imaging programs operating at comparable scale and breadth to CAI2R.

TypeEmerging player
Description

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.

TypeBroad incumbent
Description

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.

TypeEmerging player
Description

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.

TypeDirect peer
Description

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.

TypeDirect peer
Description

Academic medical imaging AI program with parallel foundation model and clinical translation initiatives that directly compete for talent, grants, and industry partnerships.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks5 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers8 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment4 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile3 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

AI capability10 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature11 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles10 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Center for Advanced Imaging Innovation and Research

Biomedical Imaging Researchcai2r.net

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.

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

  • Biomedical imaging research
  • MRI acquisition methods
  • Deep learning reconstruction
  • RF coil hardware design
  • Translational radiology research

Where Center for Advanced Imaging Innovation and Research is headquartered

Location

Headquarters

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

  1. 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.
  2. 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 offering

Core 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 profile

Named customers8 records

Segments4 records

Ideal customer profiles3 records

Center for Advanced Imaging Innovation and Research technology and API

Technology

Technology 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 signal

Partnerships

14 partnerships are on record, tiered core and major.

  • NYU Langone HealthcoreStrategic or Co-development PartnerHost 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 MedicinecoreStrategic or Co-development PartnerAcademic medical center partner providing the institutional home for CAI2R researchers and the clinical environment for translating imaging innovations into practice.
  • SiemenscoreTechnology or IntegrationMajor 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 or IntegrationTechnology 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 UniversitymajorStrategic or Co-development PartnerActive 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 CarolinamajorStrategic or Co-development PartnerActive 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 AngelesmajorStrategic or Co-development PartnerActive 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 CentermajorStrategic or Co-development PartnerActive service project for development of clinical CEST MR fingerprinting method for treatment response assessment in brain metastases. Researcher: Ouri Cohen, PhD.
  • Weizmann Institute of SciencemajorStrategic or Co-development PartnerInternational 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 SinaimajorStrategic or Co-development PartnerActive 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 UniversitymajorStrategic or Co-development PartnerConcluded service project for focused-ultrasound-mediated therapy and neuromodulation research. Researcher: Kim Butts Pauly, PhD.
  • MIT Research Laboratory of ElectronicsmajorStrategic or Co-development PartnerInternational research collaboration with MIT on electromagnetic simulations for MRI including the coupling matrix compression research led by Ilias Giannakopoulos.
  • Harvard UniversitymajorStrategic or Co-development PartnerMultiple collaborations including tissue microstructure imaging with diffusion MRI, transcranial RF stimulation research, and workshop speaker participation.
  • University of MinnesotamajorStrategic or Co-development PartnerConcluded 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 assessment

Direct 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 presence

Center for Advanced Imaging Innovation and Research financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Center for Advanced Imaging Innovation and Research leadership team

Management profile

Number of profiles

Profiles10 records

Center for Advanced Imaging Innovation and Research funding detail

Funding detail

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Center for Advanced Imaging Innovation and Research M&A and investment

M&A and investment

M&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.

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