B

Briya

Data collaboration platform for healthcare research

Overview

Briya builds a data partnership network that enables hospitals, clinics, health systems, and life sciences companies to securely share and access large sets of de-identified patient-level and real-world data. Its platform provides on-demand access to data from multiple sources, automatically unifying terabytes of information so researchers can run AI and ML models quickly and cost-effectively. Unlike many data providers, Briya focuses on data collaboration and monetization, offering subscription and data-access fees plus potential revenue-sharing, helping healthcare organizations generate new revenue while expanding internal research capabilities. Briya’s goal is to accelerate medical research and improve health outcomes by delivering fast, compliant, and high-quality data exchanges.

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About Briya

Simplify's Rating
Why Briya is rated
B-
Rated B on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & AnalyticsEnterprise SoftwareAI & Machine LearningHealthcare

Company Size

51-200

Company Stage

Series A

Total Funding

$17M

Headquarters

New York City, New York

Founded

2021

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What believers are saying

  • On November 5, 2026, Briya showed AIRE harmonizing 6.4 million BRFSS responses.
  • On October 14, 2026, Briya hired Jason Hein to scale commercial expansion.
  • On October 8, 2026, AIRE uncovered 360% more steatotic liver cases using radiology notes.

What critics are saying

  • Briya’s disclosed funding remains only $17 million, limiting enterprise sales and AI infrastructure runway.
  • The platform depends on hospital data access; Kings and InterSystems partnerships can stall under procurement friction.
  • If larger incumbents bundle similar RWE workflows, Briya becomes a niche feature, not a company.

What makes Briya unique

  • AIRE turns fragmented healthcare data into defensible evidence with audit trails and human oversight.
  • Briya combines a 120-million-patient network with no-code NLP analytics and harmonization.
  • Its recent King’s College Hospital NHS partnership adds GDPR-compliant scale and European diversity.

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Funding

Total Funding

$17M

Meets

Industry Average

Funded Over

2 Rounds

Notable Investors:
Series A funding typically happens when a startup has a product and some customers, and now needs funding to scale. This money is usually used to grow the team, expand marketing, and improve the product. Venture capital firms are frequently the main investors here.
Series A Funding Comparison
Below Average

Industry standards

$15M
$8.2M
$11.5M
$15M
$30M

Growth & Insights and Company News

6 month growth

1%

1 year growth

-1%

2 year growth

1%
Mobile Health Times
Nov 6th, 2026
Briya AIRE study finds midlife health Declining, improving in older adults.

Briya AIRE study finds midlife health Declining, improving in older adults. Briya, NYU and Johns Hopkins analyzed 6.4 million U.S. health survey responses, uncovering age-related health trends. New research from Briya, NYU Grossman School of Medicine and Johns Hopkins University reveals a widening gap in self-reported health between middle-aged and older Americans. Presented at the Gerontological Society of America (GSA) 2026 Annual Scientific Meeting, the study used Briya's AIRE artificial intelligence platform to analyze 32 years of U.S. health survey data. Researchers examined more than 6.4 million responses from the Behavioral Risk Factor Surveillance System (BRFSS), spanning 1993 through 2024. AIRE helped reconcile decades of changes in survey questions, data coding and collection methods, creating a unified dataset for analysis. Key findings include: * Declining midlife health: The percentage of adults ages 50-54 reporting fair or poor health increased from 13.8% in 1993 to 21.6% in 2024. * Improvement among older adults: Among adults age 80 and older, the rate declined from 36.2% to 26.1%. * Similar improvement in other older groups: Adults ages 70-74 saw reported fair or poor health decline from 29.9% to 22.7%. Researchers found that the overall health average masked these opposing trends. The findings suggest that poorer health may be emerging earlier in adulthood, while improvements are occurring among older populations. Dr. Or Shaked, Briya's Executive Director of Real-World Evidence and Medical Research, said the findings could have implications for public health policy, prevention strategies and clinical development. Professor Jordan Weiss of NYU Grossman School of Medicine noted that AIRE significantly reduced the manual work required to reconcile decades of changing survey data, allowing researchers to focus more on analysis. The research team included scientists from Briya, Johns Hopkins Bloomberg School of Public Health and NYU Grossman School of Medicine. The study abstract will be published in Innovation in Aging. About Briya Briya develops AIRE, a scientific AI platform designed to help healthcare researchers transform fragmented clinical and healthcare data into reliable research evidence. Its platform combines secure AI, natural language processing and analytics to support research across healthcare institutions, life sciences and real-world data sources.

Health Technology Net
Nov 5th, 2026
Briya AIRE study of 32 Years of U.S. Data Reveals worsening self-reported health in midlife but improvement at older ages.

Briya AIRE study of 32 Years of U.S. Data Reveals worsening self-reported health in midlife but improvement at older ages. Presented at GSA 2026, research by Briya, NYU and Johns Hopkins used AIRE to harmonize 6.4 million U.S. health survey responses, revealing opposing age-related trends obscured by the overall average NEW YORK, Nov. 5, 2026 /PRNewswire/ - Briya, developer of AIRE, the scientific AI platform turning fragmented healthcare data into defensible evidence, today announced research showing how Briya AIRE helps researchers overcome one of the most persistent obstacles in population health research: data collected under different rules over long periods of time. The findings were presented at the Gerontological Society of America (GSA) 2026 Annual Scientific Meeting in National Harbor, Maryland. For the study, "AI-Assisted Harmonization of 32 Years of BRFSS Data Reveals Divergent Age-Specific Health Trends in the United States," researchers used AIRE to turn 32 years of changing Behavioral Risk Factor Surveillance System (BRFSS) data into a single, analysis-ready dataset. This made it possible to answer a key question: How has self-rated health changed across age groups over three decades? The problem extends well beyond any one survey. Whether evidence spans survey waves, health systems or registries, the rules for how data is collected, coded and weighted shift over time. Across BRFSS's history, question wording, response coding, age variables, sampling frames and weighting methods have all changed. Reconciling those changes is slow, specialized work that must happen before analysis can begin, and it determines whether an apparent trend is real or an artifact of how the data was collected. For many research teams, that operational burden can limit the research questions teams are able to pursue. Key highlights * The challenge: Long-running health datasets change how data is collected, coded and weighted over time. Reconciling those changes is slow, specialized work that must happen before analysis can begin. * The scale: Briya AIRE harmonized 6,447,646 survey responses from U.S. adults collected through BRFSS between 1993 and 2024, reconciling changes in question wording, response coding, age variables, sampling frames and weighting methods. * The finding: Between 1993 and 2024, fair or poor self-rated health rose from 13.8% to 21.6% among adults aged 50 to 54 and fell from 36.2% to 26.1% among adults 80 and older. The overall rate of 23.3% did not capture this divergence. * Why it matters: Reducing the friction of harmonizing disparate data gives research teams capacity for more complex, longer-horizon studies. The team applied survey-weighted analyses and conducted sensitivity analyses around major methodological changes, including the 2011 transition to cell-phone sampling and raking. The analysis also found prevalence falling from 29.9% to 22.7% among adults aged 70 to 74. The age-prevalence curves crossed near age 64, suggesting morbidity is expanding in midlife while being postponed at older ages. The findings reflect combined period and cohort changes, rather than changes in individual health span. "The headline number hides two opposite stories: Americans over 70 report better health than a generation ago, while people in their early 50s report worse," said Dr. Or Shaked, Executive Director, Real-World Evidence and Medical Research at Briya. "If poorer health is arriving earlier in life, policy, prevention and clinical development built around age 65 may need to start a decade sooner." "Without AIRE, reconciling 32 years of changing survey data would have required a substantial amount of manual work before the analysis could even begin," said Professor Jordan Weiss of NYU Grossman School of Medicine. "By dramatically reducing that burden, Briya gives researchers the ability to work across larger, more complex datasets and ask questions that would otherwise be far more difficult and time-consuming to pursue." Reducing the time spent compiling and reconciling disparate data can give research teams greater capacity to take on more complex studies: longer time spans, more disparate sources, finer subgroups. "The hardest part of ambitious research often isn't the analysis. It's the operational work of getting disparate data into a form you can trust," said Jason Hein, Chief Commercial Officer at Briya. "AIRE takes that friction off researchers' plates while keeping them in control of every scientific decision. That's what lets teams take on more complex studies and go deeper on the questions that matter." The research was conducted by Dr. Or Shaked, Dr. April Chan-Rubinstein and Ayelet Basson of Briya; Prof. Silvia Koton of Johns Hopkins Bloomberg School of Public Health and Tel Aviv University; and Prof. Shoshana Ballew, Prof. Josef Coresh and Prof. Jordan Weiss of NYU Grossman School of Medicine. The abstract will be published in Innovation in Aging. The project was not funded. About Briya Briya is the company behind AIRE, the scientific AI platform that serves as the missing piece between fragmented healthcare data and defensible evidence. Purpose-built for health data and regulated research, AIRE unifies institutional, client, Briya, and third-party data into a single research environment, supported by a global real-world data network covering 120 million patient journeys across four continents. By bringing secure AI with advanced NLP and no-code analytics into research workflows, backed by full compliance, traceability, and human oversight, AIRE enables research service firms, life sciences teams, and healthcare institutions to turn underused clinical data into transparent, reproducible evidence. The result: researchers spend less time on data preparation and operational complexity, leaving more room for science.

PR Newswire
Oct 14th, 2026
Briya appoints CCO Jason Hein to bring ai-native evidence generation to global research organizations and life sciences.

Briya appoints CCO Jason Hein to bring ai-native evidence generation to global research organizations and life sciences. 14 Oct, 2026, 15:30 IDT Jason Hein joins as Chief Commercial Officer to scale AIRE, the scientific AI platform, as demand for AI-native evidence generation accelerates NEW YORK, Oct. 14, 2026 /PRNewswire/ - Briya, developer of AIRE, the scientific AI platform turning fragmented healthcare data into defensible evidence, today announced the appointment of Jason Hein as Chief Commercial Officer. The hire marks the beginning of a deliberate scale-up phase for the company, as Briya moves from proving AIRE's value with early research partners to expanding across the organizations that generate real-world evidence (RWE) for life sciences worldwide. Briya enters this phase as the RWE market confronts a widening analysis gap. Regulators and payers now demand continuous real-world proof, creating a growing divide between required evidence and the specialist scientific capacity available to generate it. Drugmakers must prove a product's real-world value repeatedly to win approval, expand labels, secure reimbursement, and satisfy post-market commitments, and must do so faster than ever. Biopharma now spends more than $25 billion a year generating that evidence, with more than two-thirds of it spent on expert analysis rather than on software or data. Because these complex studies depend on a limited pool of specialist scientists, team capacity cannot keep pace with demand. "Now more than ever, the constraint in evidence generation isn't a lack of scientific expertise. It's how much operational complexity we put around that expertise," said David Lazerson, CEO and Co-founder of Briya. "AIRE was built to change that and give researchers more room for science. We are pleased to welcome Jason, who deeply understands how research organizations scope, staff and deliver studies, and where the hours disappear. That combination of scientific workflow understanding and commercial experience will serve us and our customers as we continue to scale." AIRE handles much of the operational complexity between fragmented healthcare data and defensible evidence, managing everything from data preparation and harmonization through cohort building, analysis, validation and reporting, while researchers retain full control of the scientific methodology and interpretation. The result is increased research throughput with the expertise teams already have, giving scientists more room for science and greater capacity. No one feels that gain more acutely than the organizations whose business is research throughput. For CROs, HEOR consultancies and research institutes, the economics have long been set by the size and efficiency of their teams, which is why they are moving fastest from labor-based delivery to tech-enabled delivery, where capacity is determined by the strength of a team's tools. Briya is focused on these organizations first. They run the highest volume of studies, feel the capacity constraint most directly, and compete on turnaround and scientific depth in every proposal. Sponsors generating evidence in-house face the same constraint and adopt the same logic. In this role, Hein will lead Briya's global commercial strategy, overseeing everything from market positioning and growth through customer delivery and long-term client success. He joins from RTI International, where he served as Director of Corporate Development, leading equity investments and strategic partnerships across life sciences, pharma services, health data, and AI businesses, including RTI's collaboration with Navidence. He previously held commercial, corporate development and portfolio strategy roles at Codexis, where he helped commercialize the ECO Synthesis(R) platform for nucleic acid therapeutics, and at LGC Biosearch Technologies. He holds an MBA from the University of Minnesota Carlson School of Management and an MS in Molecular Biology from St. Cloud State University. "Research teams are being asked to deliver more ambitious studies on shorter timelines and tighter budgets," said Hein. "Regulators and payers want real patient evidence to demonstrate value at more points in a product's life. The pressure these structural market changes create can't be effectively solved by adding people to the problem. Technology that lets expert scientists take on more without sacrificing scientific rigor and trust must be part of the solution. That's what Briya AIRE is built for, and the market is ready for it." Briya AIRE is an AI-native research environment for clinical and real-world evidence generation. Unlike general-purpose AI research assistants, AIRE operates directly on patient-level data and carries a study from question to defensible result: cohort definition, data preparation and harmonization, analysis and documentation, with an auditable record of how each result was produced. AIRE draws rich clinical detail from both structured data and unstructured clinical notes, capturing evidence that structured fields alone miss. It is also built to work with any data source. Teams can use Briya's global network of 120 million patient records across four continents, their own internal data, public datasets, or third-party data they already license. Whatever the source, the division of labor stays the same: researchers keep full control of every scientific and methodological decision, and AIRE handles the operational work around it. For organizations delivering research to life sciences clients, that means more capacity per team, the ability to take on more complex projects, and a stronger offering in every proposal. About Briya Briya is the health AI company behind AIRE, a scientific AI platform built to expand research capacity and deliver better evidence. AIRE handles the operational complexity between fragmented data and defensible evidence, while preserving scientific rigor and keeping researchers in control. Combining scientific AI, NLP, and no-code advanced analytics with secure access to a global real-world data network, AIRE gives researchers across life sciences, healthcare, and service firms more room for science. Visit www.briya.com. SOURCE Briya

PR Newswire
Oct 14th, 2026
Briya hires Jason Hein as chief commercial officer to scale its AIRE evidence platform

Briya, developer of the scientific AI platform AIRE, has appointed Jason Hein as chief commercial officer. The New York company said the hire starts a scaleup phase, as it moves from early research partners to wider expansion among organisations that generate real-world evidence for life sciences. Hein will lead global commercial strategy. He joins from RTI International, where he was director of corporate development, and previously worked at Codexis and LGC Biosearch Technologies. Briya says regulators and payers now demand continuous real-world proof, yet specialist scientists are in short supply. Biopharma spends more than $25 billion a year on such evidence, with over two-thirds going to expert analysis. AIRE automates data preparation, cohort building, analysis and reporting while researchers keep control of the science. It can draw on Briya's network of 120 million patient records across four continents.

PR Newswire
Oct 8th, 2026
New study shows Briya's AIRE AI research platform expands steatotic liver disease identification by 360% using previously overlooked radiology data.

New study shows Briya's AIRE AI research platform expands steatotic liver disease identification by 360% using previously overlooked radiology data. 08 Oct, 2026, 15:30 IDT Briya AIRE's analysis of 28,795 abdominal ultrasound reports found 78% of steatotic liver patients were identified only through unstructured radiology reports NEW YORK, Oct. 8, 2026 /PRNewswire/ - Briya, the health AI company redefining healthcare research with AIRE, a trusted AI platform, today announced results from a real-world study demonstrating how AI and natural language processing (NLP) can uncover under-documented cases of metabolic dysfunction-associated steatotic liver disease (MASLD) from unstructured radiology reports. Using AIRE, researchers identified 360% more steatotic liver patients than structured data alone revealed. The technology then enabled risk stratification for patients at risk of progression, creating opportunities to intervene before the disease becomes irreversible, with the potential to save lives. The study demonstrates how healthcare organizations, pharma companies and research and consulting firms can use existing routine data to identify overlooked patients, strengthen risk stratification and generate real-world evidence without additional diagnostic procedures or burden on clinical workflows. "Briya AIRE fundamentally changed how we were able to identify patients for this study," said Gadi Lalazar, MD, Head of the Liver Unit at Shaare Zedek Medical Center. "Many of these patients may not have known they had steatotic liver disease because the finding was buried in an ultrasound report performed for some other reason. Identifying them earlier creates an opportunity for physicians to initiate treatment before the disease progresses to more serious and potentially irreversible stages." The findings demonstrate how unlocking information from unstructured radiology reports gives researchers access to larger, more representative patient populations without requiring additional data collection. The study, titled "Leveraging Real-World Data and NLP to Identify At Risk Metabolic Dysfunction Associated Steatohepatitis in the General Population," will be presented at AASLD's The Liver Meeting 2026 by Dr. Or Shaked, Director of Medical Research Solutions at Briya, on November 6 at 1:00 PM MT during the "MASLD/MASH - Epidemiology and Natural History, Prevention and Outcomes" session. (Abstract 2476) The study analyzed 28,795 abdominal ultrasound reports from 20,422 unique patients between 2020 and 2024 and identified an additional 4,036 patients with a steatotic liver. This expanded the relevant study population by 360%, from 1,122 to 5,158 patients. The findings revealed a major gap when looking at structured records or diagnostic codes alone. Only 22% of identified steatotic liver patients had a documented diagnosis in structured EHR fields, while 78% were identified exclusively through Briya AIRE's NLP analysis of unstructured ultrasound data. External expert validation found 94% precision and 97% recall for steatotic liver detection. With a more complete study population, researchers then assessed the risk of disease progression using existing laboratory data and ultrasound reports. The analysis identified 4,368 patients whose FIB-4 scores placed them above the conventional at-risk threshold. "AIRE's specialized research agents were used to extract information from unstructured fields, harmonize it with existing structured data and build the study population," said Dr. Or Shaked of Briya. "The goal is to take on more of the complex data preparation work so researchers can use more of the available information and focus on answering scientific questions that can ultimately influence care." AIRE enabled the researchers to extract clinically relevant information from tens of thousands of radiology reports and incorporate it into the study population alongside existing clinical and laboratory data. Doing this manually would have required extensive review and data preparation, making it difficult to apply consistently at scale. By automating much of that labor-intensive work, AIRE significantly accelerated the research timeline. About Briya Briya is the health AI company behind AIRE, a scientific AI platform built to expand research capacity and deliver better evidence. AIRE handles the operational complexity between fragmented data and defensible evidence, while preserving scientific rigor and keeping researchers in control. Combining scientific AI, NLP and no-code advanced analytics with secure access to a global real-world data network, AIRE gives researchers across life sciences, healthcare and service firms more room for science. Media Contact: SOURCE Briya

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