Accelerating the meaningful exchange of life-saving data

We build critical-path data pipelines for healthcare, technology, and life sciences companies.

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Clients, Partners, and Presentations

Health Data, Accelerated

Fragmented and siloed data systems are a critical bottleneck in health care. It frustrates clinicians, inconveniences and harms patients, slows life saving research and treatments, and wastes billions of dollars. Failure to share data and information kills patients as surely as failure to wash hands.

Superconductive Health is focused exclusively on connecting, migrating, and normalizing health care data systems where information exchange happens at scale. We're pioneering new technology to accelerate data translation in health care by a full order of magnitude.

Virta Health: Case Study

PURE IT  (no doctors) Case study illustration likely here kicked off a meaningful conversation with us on building multi-billion dollar businesses in big data at one of our recent Lightspeed Dinner Series events.

Health Care Pros

With decades of collective experience, we’re fluent in the language of health care and the details of health data.

Agile Data Pioneers

We have a track record of pushing the envelope in data engineering and data science, combining “fast and iterative,” with “stable and production-ready.”

100% Focused

We’re specialists in ETL, cleaning, normalization, and quality control. We whip the plumbing into shape, so your engineers and analysts can focus on the magic.

Other Resources

Guaranteed clean, valid data.
Right from the source.

Data Valet is a self-service data validation portal. Your data providers upload spreadsheets and get immediate, helpful feedback to clean their data.

Data Valet

Case Studies

Learn more about industry best practices with Superconductive Health

Blog Posts

Read and catch up on the latest company updates

Find answers to other questions you or your team may have. See all of our FAQs here

Industry Experience


• Specialty Pharma
• Biologics and Biosimilars
• Genetics
• Vaccines
• OTC Physician-dispensed

Med Tech

• Procedure Based Medical Devices
• Clinical Diagnostics
• Medical Equipment and Products
• Health and Wellness Technology

Health IT

• Virtual Care / Mobile Health (mHealth)
• Clinical Analytics
• Financial and Operational Analytics
• Clinical Decision Support Systems


People are at the heart of Superconductive Health. Meet the unique builders and innovators leading the way.

The team is a rare blend of two crucial skill sets:

1 Expansive knowledge of health care and life science data.

2 Expertise in best practice for modern data engineering.

We’re passionate about using these skills to improve health care and life sciences.

Abe Gong

Entrepreneurship and data. Aspire Health, Stack Labs, Jawbone, Massive Health. PhD in public policy and complex systems.

Jacob Alcauskas

Operations, Client Engagements, and Engineering.  Previously: oncology strategy, analytics, and technology; CTO of Kinsail (acquired ’14); US NRL

Eugene Mandel

Product. Making Data Science and Machine Learning into real products. Previously: Data Science lead @Directly, Data Science team @Jawbone, CTO/co-founder @Qualaroo, co-founder @Jaxtr

Ben Castleton

Client Engagements, ETL and BI. Health Catalyst, Partners Healthcare, PwC. ACO and Value-based Population Health initiatives.

Andrew Rosenthal

Partnerships and commercial strategy. Digital health and data products including Jawbone, Medibio, Mio, Uber. Harvard MBA & Univ of Penn.

Rob Lim

Full-Stack Web Development, Engineering. Previously: Castlight Health, DoctorBase, Kairoi Health. BA in Molecular Biology.

Max Gasner

Engineering leadership and machine learning. Previously: Bee, One Financial, Salesforce, Prior Knowledge, Navia Systems. Artisan knitting.

Taylor Miller

Data Science & Data Engineering. Previously: Health Catalyst, TaskEasy, University Pharmacy. PharmD. Hardware hacker.

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We draw on deep leadership experience from data-first health tech companies, like Jawbone, Aspire Health, and Health Catalyst. We look for opportunities to weave software, data, and algorithms into everything we do. The end result is a dramatically different way of approaching data engineering in health care, technology, and life sciences companies.

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