YESPRESS ImpriMed raises $23M Series A led by SoftBank Ventures Asia 6,500+ dogs treated with AI-predicted cancer therapy across 130+ hospitals AI predictions triple survival rates in relapsed B-cell canine lymphoma Stanford PhD to CEO: Sungwon Lim's precision oncology pivot SK Telecom invests $3M to co-develop ImpriMed AI models 95% oncologist satisfaction rate across 87 surveyed vets 40 Under 40 in Cancer - Class of 2022 ImpriMed delivers personalized drug response reports in 7 days YESPRESS ImpriMed raises $23M Series A led by SoftBank Ventures Asia 6,500+ dogs treated with AI-predicted cancer therapy across 130+ hospitals AI predictions triple survival rates in relapsed B-cell canine lymphoma Stanford PhD to CEO: Sungwon Lim's precision oncology pivot SK Telecom invests $3M to co-develop ImpriMed AI models 95% oncologist satisfaction rate across 87 surveyed vets 40 Under 40 in Cancer - Class of 2022 ImpriMed delivers personalized drug response reports in 7 days
Dr. Sungwon Lim, CEO and Co-Founder of ImpriMed
Precision Oncology Pioneer

Sungwon
Lim

The AI Whisperer Who Asks Cancer Cells Directly

Before a single drug enters a patient's body, Lim already knows which ones won't work - because he tested them on the actual cancer cells.

6,500+ Patients Treated
$63.8M Total Raised
3x Survival Uplift
CEO, ImpriMed Stanford PhD 40 Under 40 in Cancer SoftBank-Backed

The oncologist calls.
The AI already knew.

Most cancer treatment begins with an educated guess. A doctor picks a drug based on statistics, protocols, and experience - then watches to see if it works. For many patients, weeks pass before it becomes clear the choice was wrong. Those weeks are irreplaceable.

Dr. Sungwon Lim decided the guess was the problem. His company, ImpriMed, takes a sample of a patient's actual, live cancer cells - then tests them against a panel of 13 drugs in real time. The AI analyzes which ones trigger cell death, generates a personalized treatment prediction report, and delivers it to the oncologist within seven days. Before the first dose is prescribed.

The results are not theoretical. Dogs with relapsed B-cell lymphoma that received treatment matching ImpriMed's AI predictions saw median survival extended to 160-187 days. In clinical terms, the AI tripled survival rates and quadrupled response rates compared to unmatched treatment. Ninety-five percent of the 87 veterinary oncologists surveyed said they were satisfied with the reports.

Yes, dogs. That part is deliberate - and it was a stroke of strategic brilliance that turned a regulatory wall into a launchpad.

A physician can treat a number of patients throughout his career. Yet one powerful medicine or technology can save millions of patients.

- Sungwon Lim, quoting his mentor Prof. Sang Yup Lee

That quote - delivered by his mentor at a pivotal moment in his academic career - is the compass Lim has navigated by ever since. He was already reconsidering a trajectory toward computer programming when he encountered it. The sentence reoriented everything: away from software, toward bioengineering. Away from products for the few, toward technologies that scale.

He did his PhD in Bioengineering at Stanford. He met his co-founder Jamin Koo as an undergraduate; both would eventually hold PhDs from Stanford and KAIST. They incorporated ImpriMed in 2017, the same year Lim finished his doctorate, driven by a shared conviction that cancer treatment was still too much art, not enough science.

Fast Facts
Role CEO & Co-Founder, ImpriMed
Location Palo Alto, California
Education PhD Bioengineering, Stanford University
Founded ImpriMed, Inc. (2017)
Funding $63.85M total raised
Co-Founder Jamin Koo (CTO)
ImpriMed by the Numbers
Patients Treated 6,500+
Oncologist Partners 200+
Specialty Hospitals 130+
Countries Served 4
Drugs in Panel 13
Report Turnaround 7 days
Outcomes Database 2,500+ cases
2017 Company Founded
$23M Series A (Dec 2023)
45 Team Members
95% Oncologist Satisfaction
4x Response Rate Uplift

The dog detour that changed everything

ImpriMed started with human cancer in its sights. The science was ready. The technology was sound. Then came the regulatory reality of clinical trials in oncology: years of approvals, hundreds of millions in required capital, and a timeline measured in decades before the first real patient benefit.

Lim pivoted. Not sideways - diagonally upward.

Dogs get the same cancers humans do. Canine lymphoma is biologically similar to human non-Hodgkin's lymphoma. The veterinary oncology market is large, underserved, and dramatically less regulated than human medicine. And - critically - companion animal owners make treatment decisions quickly, attach enormous value to outcomes, and generate real-world clinical data at scale.

The insight: use veterinary oncology as a proving ground. Build the clinical evidence base, validate the AI models, generate peer-reviewed publications, and return to human oncology with years of real outcomes data that no human trial could produce on the same timeline. Regulatory shortcuts through scientific credibility.

By 2024, the strategy had produced 6,500+ treated patients, 130+ hospital partners across four countries, and publications in Frontiers in Oncology and npj Precision Oncology. ImpriMed has built a proprietary outcomes database from 2,500+ canine cases that continuously trains its models - a continuously improving AI loop that grows smarter with every case it processes.

The pivot wasn't a retreat. It was a runway.

"Functional precision medicine" isn't just a buzzword for Lim. It's a specific rebuke to the dominant approach: genomics-only cancer profiling. Knowing a cancer's genetic mutations tells you what *might* work. Testing live cancer cells against actual drugs tells you what *does*.
The Three-Business Architecture

01 - Veterinary Oncology
Live right now. 130+ hospitals, 200+ oncologists. The current revenue engine and the clinical data machine.


02 - Human Precision Medicine
Coming next. The $23M Series A funds this expansion. Seven years of veterinary evidence becomes the proof-of-concept package.


03 - Pharma CRO Services
Drug development support. ImpriMed's ex vivo platform helps pharma companies test drug candidates faster.

SK Telecom - South Korea's largest telecom company - invested $3M and became a strategic partner to co-develop AI models. Biotech meets telecom infrastructure. The future is weirder and more interesting than anyone planned.
ImpriMed Funding History
Seed 2018
Undisclosed
Pre-A 2021
$8M
Series A 2023
$23M
Total
$63.85M

From a grandfather's death
to a Stanford lab

Sungwon Lim was eight years old when his grandfather died of cancer. It's the kind of early loss that either leaves a quiet mark or reshapes a life. For Lim, it did the latter - though not immediately.

In college, he was headed toward software. Programming made sense: it was powerful, scalable, intellectually satisfying. Then he read something - a book about long-term company values - that made him stop and inventory what he actually cared about. Two things came back: helping as many people as possible, and building foundational technologies that others could build upon.

Software could do both. But bioengineering could do both with the specific urgency of disease. He pivoted to science.

At Stanford, he pursued a PhD in Bioengineering, researching protein therapeutics, drug delivery systems, and the mechanics of how to get treatments to the cells that need them. He also met Jamin Koo - the person who would become his CTO and co-founder - and found someone who shared both the scientific rigor and the entrepreneurial impatience.

They incorporated ImpriMed in 2017, the year Lim's doctorate was complete. They spent four years in research mode before commercializing the first services in 2021. That patience - the willingness to spend years validating before monetizing - is a thread that runs through everything Lim does.

Career Timeline
Pre-2017
Completed PhD in Bioengineering at Stanford University; prior Master's in Translational Medicine at UC Berkeley-UCSF
2017
Co-founded ImpriMed, Inc. in Palo Alto, CA with Jamin Koo (CTO)
2018
ImpriMed closes Seed funding round; begins building clinical platform
2021
First commercial services launched; $8M Pre-Series A raised; featured in Authority Magazine
2022
Named "Top Industry Leader" by Life Sciences Voice; selected for 40 Under 40 in Cancer; ImpriMed serving 250+ veterinary oncologists
2023
Raised $23M Series A led by SoftBank Ventures Asia; SK Telecom joins as strategic partner; TechCrunch coverage of expansion into human oncology
2024
6,500+ dogs treated; 130+ specialty hospitals; platform expanding to human cancer treatment

What the numbers prove

  • Raised $63.85M total, including $23M Series A led by SoftBank Ventures Asia (December 2023)
  • AI predictions shown to triple survival rates and quadruple response rates in relapsed canine B-cell lymphoma (published, Frontiers in Oncology)
  • 6,500+ dogs treated through ImpriMed's precision oncology platform across 130+ specialty hospitals in the US, Canada, England, and France
  • 95% satisfaction rate among 87 surveyed veterinary oncologists
  • Named to "40 Under 40 in Cancer" Class of 2022 - recognized as one of the nation's most promising young oncology professionals
  • Named "Top Industry Leader" by Life Sciences Voice (2022) alongside executives from major life science companies
  • Strategic partnership with SK Telecom ($3M investment) to co-develop AI models for cancer treatment response prediction
  • Published research in npj Precision Oncology, Frontiers in Oncology, Blood Research, Veterinary Sciences, and Haematologica
  • Proprietary outcomes database of 2,500+ canine cases continuously improving AI model accuracy
  • Expanded operations to offices in both Palo Alto, CA and Seoul, South Korea
How It Works

Seven days from biopsy
to a personalized drug report

ImpriMed's platform is built around a simple but technically demanding premise: instead of predicting which drugs should work based on a cancer's genetic profile, actually test the drugs against the patient's own cancer cells before prescribing anything.

A veterinary oncologist sends a sample of live cancer cells from the patient. In ImpriMed's lab, those cells are exposed to 13 of the most commonly prescribed blood cancer drugs. The platform measures which drugs trigger cell death, which ones don't, and at what concentrations - generating functional data that genetic testing simply can't produce.

That functional data is fed into machine learning models trained on ImpriMed's proprietary outcomes database - built from 2,500+ actual patient cases, each with recorded treatment decisions and clinical outcomes. The models predict how the individual patient will respond, not how the average patient with that cancer subtype responds.

The report arrives within seven days. The oncologist sees a ranked list of drug efficacy predictions, cancer subtype classification, biomarker analysis, and resistance profiling. It is clinical decision support at a level of specificity that was not possible before machine learning met ex vivo testing.

Lim calls this "functional precision medicine" - a deliberate contrast to genetics-only approaches like genomic sequencing. His argument: genetics tells you what mutations are present. Function tells you what actually happens when you hit those mutations with a drug. The difference matters when lives are on the line.

The ImpriMed Process

Step 1: Oncologist sends live cancer cell sample from patient


Step 2: Lab tests sample against panel of 13 drugs in real time (ex vivo)


Step 3: AI analyzes functional drug response data against outcomes database


Step 4: Personalized report delivered to oncologist in 7 days


Step 5: Clinical outcome data feeds back into the model - making the AI smarter with each case

ex vivo drug testing machine learning AI drug response prediction flow cytometry biomarker analysis clonality testing (PARR) immunophenotyping genotyping (MDR1) cancer subtype classification resistance profiling real-world evidence clinical decision support

Sungwon Lim in his own words

Innovating with Scott Amyx - CEO Interview (2021)
Tech Founder Interview - Insivia

How Lim builds

Ask Lim how he built ImpriMed and he gives you five rules that read less like startup advice and more like anti-startup advice: assemble the best team you can find, run thorough reference checks before hiring, research what already exists before pursuing an idea, get customer feedback earlier than feels comfortable, and be willing to pivot when the market tells you something real.

The ImpriMed origin story is a masterclass in rule five. The company was built for human oncology. The regulatory environment said "not yet." Lim listened. He found a market where the science was equally valid, the regulatory path was navigable, and the clinical data would accumulate faster. He went there first.

He also waited four years before commercializing. From incorporation in 2017 to first commercial services in 2021, the team was running experiments, building the database, publishing research, and refining the platform. By the time ImpriMed went to market, the product worked. The patience was strategic.

The person who shaped Lim's thinking most directly wasn't a startup founder or a tech billionaire. It was Professor Sang Yup Lee, a Korean biotechnologist who framed the choice between clinical medicine and research technology as a difference in scale - not value. A doctor treats hundreds. A technology treats millions.

Lim names Elon Musk as a role model on perseverance - specifically on continuing to build through opposition and skepticism. That particular combination - scientific rigor from academia, scale-oriented ambition from tech, and iterative patience from hard experience - is the operational signature of how ImpriMed was built.

The company has offices in both Palo Alto and Seoul, 45 employees, and a platform that spans four countries. The next move is human oncology. The clinical evidence is already in place. The funding is secured. The question now isn't whether ImpriMed's approach works.

The question is how fast it scales.

Connect

Follow the work

Share this profile