TK

Thilakshan Kanesalingam (TK)

Engineer · Entrepreneur · Operator

I bring ideas to life.

That usually looks like:

A deep understanding of the user, then the problem A great product (/service), then how to market it The team, partnerships and operating systems that carry it to more and more users

I’ve brought 10+ ideas to life across 4 areas of healthcare:
DTC, applied AI, B2B software, and devices.

What I’ve made

Direct-to-consumer telehealth

Telehealth in all 50 states

Co-founderEverOne Health

This company offered medical weight loss online to any qualifying adult in the US: a same-day video visit with a doctor licensed in their state, medicine shipped every month if prescribed, and care coaches along the way. I led it across product, growth, and operations (clinical, pharmacy, regulatory), and owned the unit economics.

0 → 1
Formed the key partnerships and the HIPAA-compliant infrastructure, and built the systems for customer acquisition and retention.
1 → many
Live in all 50 states from day one. Bootstrapped from zero to 2,000+ patients in the first 6 months.
AI harnesses for clinics

Applied AI for longevity and functional-medicine clinics

FounderSystems Driven Health

Longevity and functional-medicine clinics usually run on an EHR and a set of tools that are slow to adopt AI. Instead of replacing them, we build an AI harness around them. I worked directly with single and multi-site clinics to find the business processes worth automating and turn them into systems: how a clinic builds its brand and runs all of its marketing, and HIPAA-compliant operational workflows with AI.

0 → 1
Customized solutions, tailored to each clinic’s business processes and existing tech stack. Clients included Mark Hyman’s UltraWellness Center and Valter Longo’s Create Cures Foundation.
1 → many
HIPAA-compliant operating systems for a clinic: an AI harness for all of its marketing from the first click to enrollment, and a second that runs each patient’s care journey around the EHR.
Hospital software

AI that makes sure follow-up scans really happen

Co-founder & CEOInflo Health

Imaging scans often turn up something nobody was looking for, an incidental finding, that needs a follow-up scan. 61% of those follow-ups are missed in practice. This product reads every radiology report, catches them, and makes sure the follow-up actually happens.

0 → 1
First product live in 6 months, 2 pilots, then the first 4 contracts from cold outreach ($212K ARR) at hospitals and imaging centers.
1 → many
One hospital using it later raised lung follow-ups done from 39% to 68%.
Medical & Life Science Devices

Medical and life-science machines for cancer research and treatment

Founding engineer → CTO → COOXstrahl

We made a family of products built on low-energy X-rays, for life-science research and for medical devices. As sole engineer for the first two years, I took a Johns Hopkins robotics prototype to a CE-marked product built in volume: about 100 units at a $1M list price, the market leader in its category. Labs have used it in nearly 1,000 published studies, cited more than 35,000 times. That work has been the basis for 26 human clinical trials at Johns Hopkins, Penn and 13 other institutions. 5 more products followed, including an FDA-cleared machine that treats skin cancer without surgery.

0 → 1
Owned the software, calibration and systems integration, and directed our contract manufacturer’s electrical and mechanical engineers, to move from prototype to commercial product.
1 → many
As CTO, built research partnerships and technology transfers with Johns Hopkins, Oxford, Harvard Medical School, UPenn and more, and won a £336K Innovate UK grant to replace radioactive sources in labs with X-rays. We then led the business through a private-equity acquisition, and as COO I led our team of 65 people in 3 offices (US, UK, DE), serving 700+ medical and research facilities in 25+ countries.

Earlier, academics & research

I have a biomedical engineering background from McMaster University: bachelor’s in electrical and biomedical engineering, then a master’s focusing on medical imaging, robotics and machine learning. Alongside and afterwards I did research at Princess Margaret Cancer Centre (JACMP 2010) and The Hospital for Sick Children (SickKids) (Biomag 2014).