Chronic Pain ML Tool

Revolutionizing Pain Treatment in Primary Care

Empowering clinicians with evidence based, ML-driven insights personalized for each patient.

Primary care physicians struggle to effectively treat chronic pain, leading to poor patient outcomes and wasted healthcare dollars. PPT is a machine learning tool that empowers PCPs to deliver personalized, data-driven pain treatment, improving patient care and reducing costs

Mission

To empower physicians with data science to better treat pain using personalized approaches in each patient.

Ensuring faster, data-driven treatment decisions that improve patient outcomes, reduce healthcare waste, and minimize opioid dependence

Vision

A future where no patient suffers from prolonged trial-and-error pain management

Harnessing collective patient experiences to transform pain into a precise, personalized pathway—delivering efficient, effective, and equitable solutions for chronic pain care.

Core Values

Empowering PCPs, Not Replacing Them

We believe chronic pain treatment should be based on data, not trial and error. Every patient deserves the right treatment from the start

Precision Over Guesswork

Our technology enhances clinical decision-making, helping primary care practitioners treat more patients, more effectively, with fewer missteps.

Deciphering Pain, Reducing Waste

Chronic pain is a $300B problem. We are the missing piece in the puzzle—eliminating unnecessary tests and wasteful treatments to make healthcare more efficient.

Scalable Impact

Today, we revolutionize PCP workflows. Tomorrow, we drive change across the entire healthcare ecosystem.

What we do

We built a cutting-edge machine learning tool designed to empower primary care physicians in the complex task of chronic pain management.

PPT analyzes patient data to provide personalized treatment recommendations, moving away from a trial-and-error approach.

By delivering data-driven insights, PPT aims to improve patient outcomes, reduce healthcare waste, minimize opioid dependence, and streamline PCP workflows.

Personalized Treatment Recommendations

PPT's machine learning algorithms analyze patient-reported outcomes, EMR data, and other relevant information to generate individualized treatment plans

Evidence-Based Decision Support

PPT provides PCPs with evidence-based probabilities of success for various treatment options, enhancing treatment precision and confidence

Integration with EHR Systems

PPT provides PCPs with evidence-based probabilities of success for various treatment options, enhancing treatment precision and confidence

Improved Patient Outcomes

By guiding physicians toward the most effective treatments, PPT aims to improve patient outcomes and reduce the burden of chronic pain

Efficiency in Healthcare by reducing Waste

PPT helps to eliminate unnecessary tests and ineffective treatments, contributing to a more efficient and cost-effective healthcare system

Support for Primary Care Providers

PPT empowers PCPs by enhancing their clinical decision-making capabilities, enabling them to manage chronic pain more effectively

Meet Us

Management Team

Ajay Wasan

MD,MSc

Founder

Ajay D. Wasan, MD, MSc, is Vice Chair for Pain Medicine , Tenure Professor of Anesthesiology and Psychiatry at the University of Pittsburgh School of Medicine, and Co-Director of the Center for Innovation in Pain Care

Indrani Halder

Phd/MBA

CEO

Indrani Halder, PhD, MBA. She brings bold leadership from Fortune 50 payers, where she transformed clinical products, analytics, and AI solutions to elevate care delivery, health outcomes, and system performance.

Kashyap Kompella

CPO

Kashyap Kompella is a Serial Entrepreneur and a product strategist with a background in developing AI-driven solutions, including LensAI, which focuses on Compliance and Security for Healthcare AI.

Our Expert Team

Alberto Chan, MBA.

Business Advisor

Alberto Chan, MBA. started his career as VC analyst in Brazil ($100M), supported as CBO and CEO for 5 startups in the HealthTech and Medical Devices. Raised 7 digits in venture funding and family offices and also is an LP at a venture fund.

Greg Cooper, MD/Ph.D.

Medical Advisor

Gregory F. Cooper, MD, PhD, is Vice Chair of Research and Distinguished Professor of Biomedical Informatics at the University of Pittsburgh. He develops AI, machine learning, and Bayesian methods to advance biomedical research and clinical care, with projects in causal discovery, cancer prediction, EMR-based alerting, and outbreak detection.

Angsuman Dutta, MS

Technical Advisor

Angsuman Dutta is Co-founder and Chief Technology Officer for FirstEigen, a company delivering autonomous data quality solutions at scale. A thought leader in Information Governance, he has advised Fortune 500 firms for over 20 years. He holds degrees from IIT Kharagpur, Illinois Tech, and the University of Chicago Booth School of Business.

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