Tribe AI | AI Consulting for Healthcare Companies

Healthcare

AI solutions for healthcare

Improve patient outcomes and reduce costs with AI

Tribe can help you leverage machine learning to help detect disease faster, provide personalized treatment plans, automate processes, and speed up drug discovery and diagnostics.

AI in Healthcare: 7 Real-World Use Cases

See how Tribe healthcare customers are using ML to drive innovation, improve patient outcomes, and reduce costs.

Recent healthcare projects

Active

Build data warehouse for clinical diagnostic tool

Active

Define technical approach for AI-driven fertility startup

Active

Increase performance for public pharma co supercomputer

Active

Reduce customer churn for public medical device company

How Tribe can help

Diagnosis and treatment

Machine learning algorithms can analyze medical data from patient records, lab results, and other sources to help diagnose and treat patients more accurately. This can lead to better patient outcomes and improved overall health.

Process optimization

Streamline your claims processing with machine learning automation. Quickly identify and handle claims with machine learning algorithms, which detect fraud more efficiently, reducing costs and improving profits.

Drug discovery

Machine learning can help identify promising drug candidates and accelerate the drug discovery process, leading to faster and more cost effective development of new treatments.

Preventative care

Machine learning algorithms can analyze data from patient records and other sources to identify patients who may be at risk for certain conditions. This can help doctors provide proactive care and reduce the cost of treating preventable conditions.

Work with the best talent in AI

Full-stack Engineer

Pratik

PREVIOUSLY:

Lead engineer at FairPlay AI

Sr Engineer at Autodesk

AI Research Scientist

Sundeep

PREVIOUSLY:

AI Research at Amazon‍

PhD Cognitive Neuroscience, Published 50+ papers

ML Engineer

Alda

PREVIOUSLY:

Engineer at Cityblock Health

Sr Engineer Flatiron Health

ML Engineer

Yada

PREVIOUSLY:

ML at Amazon, Microsoft,
ASAPP, Infinitus

‍

Full-stack Engineer

Richard

PREVIOUSLY:

Engineer at RBC

ML scientist at Arterys medical

ML Engineer

Erik

PREVIOUSLY:

Deep Learning Scientist at Ravel Biotech‍

Researcher at Harvard Medical School

ML and Software Engineer

Jorg

PREVIOUSLY:

Worked for Google Brain

and Facebook AI Research

[Our Tribe consultant] has become an indispensable member of our team. I trust her completely and even included her as part of our leadership team in our fundraising materials.

Founder & CEO

Rita Health

Tribe came in and systematically benchmarked and tested our infrastructure eventually implementing a number of improvements and fixes that led to massive cost savings.

CTO

Public Pharmaceutical Company

We got so much more out of this project than we thought we would. And that’s in large part to the quality of the people Tribe brought in.

SVP of Data

PE Company