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AI Health Mission

To bring together critical patient information in one place to provide better context and insights on the overall care for chronic illness, so providers can ultimately deliver more personalized care and keep their patients healthy.

AI Health Vision

To unify healthcare data ecosystems allowing inclusive, personalized healthcare for all. 

AI Health Vision

To unify healthcare data ecosystems allowing inclusive, personalized healthcare for all. 

What Does AI Health Do?

AI Health combines the power of Artificial Intelligence— Natural Language Processing, Computer Vision, Machine Learning, Multi-modal AI Analytics, and Unbiased Datasets— to focus on the pain points in the medical community around data management, remote patient monitoring, chronic disease treatment, and existing datasets.

About AI Health

Focused on Solutions ■ AI Health’s mission was accelerated during the pandemic where the inequities in the current healthcare system were magnified. The specific pain points that COVID-19 highlighted, and look to be addressed, include... ● Disconnected Systems ○ No continuity in patient data especially for the underserved community ● Under-utilized Assets ○ Millions of data records containing critical information are disaggregated and overlooked ● Accessibility to Care ○ A data divide exists between those that use primary care vs those that use the ER for care ● Access to Telehealth ○ Lack of Universal Connectivity to be able to engage with the system, and ability to afford remote care ● Biased Study Structure

Focused on Solutions

AI Health's mission was accelerated during the pandemic where the inequities in the current healthcare system were magnified. The specific pain points that COVID-19 highlighted, and look to be addressed, include...

Infographic representing inequities in the current healthcare system. It features the earth as a longitude and latitude globe. It is circled with three arrows in a cycle.

Disconnected Systems

No continuity in patient data especially for  underserved communities.

Under-utilized Assets

Millions of data records containing critical information are disaggregated and overlooked.

Accessibility to Care

A data divide exists between those that use primary care vs those that use the ER for care.

Access to Telehealth

Lack of universal connectivity to be able to engage with the system, and ability to afford remote care.

Biased Study Structure

Historically biased study structure to focus on better results for study, not most inclusive for under-represented patients.

Multiple icons representing five different challenges the medical industry faces today. The first one is disconnected systems. It shows an electronic cable with one end sliced open and exposing three smaller wires. The second icon is Under-utilized Assets. It shows a cube with programming code on its’ sides. The third icon is Accessibility to Care. It shows a broken heart with one side containing a healthcare cross and the other side containing a dollar sign. The fourth one is Access to Telehealth. It shows a laptop with a lock symbol on the screen. The last icon is Biased Study Structure. It shows a book with an unbalanced justice scale on the front.

All About Me

Advancing Equitable Healthcare with AI

AI Health’s goal is to fill the void in healthcare by accounting for the inequities — especially  around underserved populations — in the hope of creating a more inclusive future by uniting the data ecosystem to create more personalized care for all.

Infographic representing Advancing Equitable Healthcare with AI. It features a network of different people interconnected. Everyone is of different ethnicities, age, and gender.
Infographic that represents AI Healths vision to use AI create personalized care for all. It features an artificial intelligence human with the AI Health logo inside its head.

True Innovation

AI Health has an ambitious vision to use AI to create more personalized care for all. This vision can’t be achieved simply by making tweaks to existing models — it’s about evolving to a completely new model using AI at its core... 

What Does AI Health Do? ○ AI Health combines the power of Artificial Intelligence — Natural Language Processing, Computer Vision, Machine Learning, Multi-modal AI Analytics, and Unbiased Datasets — to focus on the pain points in the medical community around data management, remote patient monitoring, chronic disease treatment, and existing datasets.

What Does AI Health Do?

AI Health combines the power of Artificial Intelligence — Natural Language Processing, Computer Vision, Machine Learning, Multi-modal AI Analytics, and Unbiased Datasets — to focus on the pain points in the medical community around data management, remote patient monitoring, chronic disease treatment, and existing datasets.

Infographic to represent what AI Health does. It features an AI Health logo in the center of a circle. It is surrounded by six different icons representing a different thing. The first icon is the scales of justice. The second is a finger pointing up surrounded by a network of lines. The third is audio waves. The fourth is a a computer monitor with a line graph on the screen. The fifth is a magnifying glass looking at an artificial intelligence genome. The last is an artificial intelligence human persona with the AI Health logo inside of it.
AI Health Mission ○ To bring together critical patient information in one place to provide better context and insights on the overall care for chronic illness, so providers can ultimately deliver more personalized care and keep their patients healthy.

AI Health Mission

To bring together critical patient information in one place to provide better context and insights on the overall care for chronic illness, so providers can ultimately deliver more personalized care and keep their patients healthy.

Infographic that represents bringing together critical patient information in one place. It features an African American man with glasses surrounded by six data sources. The first data source is a wearable wristband medical device. The second data source is a group of blood glucose monitors. The third data source is a mobile phone. The fourth data source is a bar graph. The fifth data source is a laptop with medical data on the screen. The final data source is a laptop with health insurance information on the screen.
Infographic that represents inclusive, personalized healthcare for all. It is a three part graphic connected to each other. It reads left to right. On the left is a wearable medical wristband device. It is transmitting medical data to a doctor on the right. They are both connected by a heart icon with a heartbeat representing medical data.

AI Health Vision

To unify healthcare data ecosystems allowing inclusive, personalized healthcare for all. 

AI Health Vision To unify healthcare data ecosystems allowing inclusive, personalized healthcare for all

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Focused on Solutions

AI Health was accelerated during the pandemic where the inequities in the current healthcare system were magnified. The specific pain points that COVID-19 highlighted, and look to be addressed, include...

Icon representing Biased Study Structure. It shows a book with an unbalanced justice scale on the front.

Biased Study Structure

Historically biased study structure to focus on better results for study, not most inclusive for under-represented patients.

Icon representing Under-utilized Assets. It shows a cube with programming code on its’ sides.

Under-utilized Assets

Millions of data records containing critical information are disaggregated and overlooked.

Icon representing Access to Telehealth. It shows a laptop with a lock symbol on the screen.

Access to Telehealth

Lack of universal connectivity to be able to engage with the system, and ability to afford remote care.

Icon representing Accessibility to Care. It shows a broken heart with one side containing a healthcare cross and the other side containing a dollar sign.

Accessibility to Care

A data divide exists between those that use primary care vs those that use the ER for care.

Icon representing disconnected systems. It shows an electronic cable with one end sliced open and exposing three smaller wires.

Disconnected Systems

No continuity in patient data especially for  underserved communities.

Security

The latest data usage, storage, and transmission security policies and protocols are applied throughout AI Health’s Platform.

Privacy

AI Health believes privacy is a basic human right and adheres to the strictest levels of privacy compliance including HIPAA, GDPR, and CCPA.

A Commitment to Patient Trust

An icon representing a security of trust. It features a pad lock in the shape of a security shield. It is locked and secured.
Two photos featuring San Francisco, California and Barcelona, Spain. The San Francisco photo features a clear sunny day overlooking the Golden Gate Bridge and the San Francisco city skyline. The Barcelona photo features a clear sunny day with a view of the Sagrada Familia. AI Health brings a tremendous amount of experience turning research into real products. Based in Silicon Valley and Barcelona, Spain, their multi-discipline AI team brings over 200 collective years of Artificial Intelligence experience in constructing the AI Health Platform.

200 Collective Years in AI

Based in Silicon Valley and Barcelona, Spain, their multi-discipline AI team brings over 200 collective years of Artificial Intelligence experience in constructing the AI Health Platform.

Saints Soto | CEO

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Chris Robichaud | Vice Chairman

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Alejandro Clarós | President European Operations

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Juan Espinoza, MD| Chief Medical Officer

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Mike Logan | VP Business Ops North America

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Javier Castán | SVP AI Lab

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Jordi Muria | SVP AI B2B

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Regina Call | VP NLP Projects

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Marc Tenedora | SVP Platform Development

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Travis Higgs | VP Dataset Manufacturing

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Meet the

Executive Team

Headshot photo of Saints Soto, CEO of AI Health

Saints Soto | CEO

Headshot photo of Chris Robichaud, Vice Chairman and President at AI Health

Chris Robichaud | Vice Chairman / President

Alejandro Clarós | President European Operations

Headshot photo of Juan Espinoza, MD, Chief Medical Officer at AI Health

Juan Espinoza, MD | Chief Medical Officer

Headshot photo of Mike Logan, VP Business Ops North America at AI Health

Mike Logan | VP Business Ops North America

Javier Castán | SVP AI Lab

Jordi Muria | SVP AI B2B

Regina Call | VP NLP Projects

Headshot photo of Marc Tenedora, SVP Platform Development at AI Health

Marc Tenedora | SVP Platform Development

Headshot photo of Travis Higgs, VP Dataset Manufacturing at AI Health

Travis Higgs | VP Dataset Manufacturing

Meet the

Executive Team