Unsplash

Nov 2, 2021

Presenting Health Incubator Helsinki batch 2 companies:

Knewborn fights infertility with computer algorithms

Fertility treatments often lack predictability, leading to uncertainty and frustration. Through the power of machine learning, however, it is possible to improve the overall effectiveness of fertility treatments. New Finnish startup Knewborn wants to accomplish all this – and more. The company is one of the promising startups selected for the Health Incubator Helsinki program that started in the spring of 2021.

Knewborn’s Co-founder Sara Veleva is an experienced physician who is skilled in Research, Medical Education, Gynecology, Epidemiology, and Statistical Data Analysis. Hailing from Bulgaria, she came to study in Finland almost 20 years ago.

“When I first got the invitation from the University of Oulu, my friends joked it was located so far up north that there had to be penguins,” she looks back now, laughing.

Her award-winning, 2008 doctoral thesis focused on infertility, providing a solid future base for a startup focused on infertility issues.

Knewborn

Knewborn brings predictability and improved results to fertility treatments through the power of machine learning.

-Sara Veleva, Co-founder, Knewborn

Award-winning thesis led to idea development

At the time, even Time Magazine interviewed her, further convincing Veleva that there’s something worth developing here.

“There’s a huge amount of uncertainty that comes with fertility treatments: they are, by nature, heavy, difficult and expensive treatments with no guarantees.”

Then an idea emerged: what if you could decrease that “fog of uncertainty” between doctors and patients by improving communication – and improving vitro fertilization treatments, as well?

“We experimented with machine learning tools to see if this could be done. Proper predictive models were key in this work,” Veleva says, calling the startup a “rapid vessel” for getting support for those people in need.

Overlap in competences from three countries

Veleva put together a team with AI expertise and started developing the product.

“We are utilizing a vast collaboration network to make this happen,” Veleva says, adding that she’s not your typical businesswoman, but instead, a researcher with a knack for taking different things and putting them together.

We are looking to take on our first client in 2022.

Founded in 2020, Knewborn is packed with people from quite different professional backgrounds.

“There is also overlap in competences which is good for team cohesion,” she says.

So far, specialists from three different countries have been involved in the development phase, as well as various infertility clinics.

“We are looking to take on our first client in 2022.”

Health Incubator Helsinki as support

Veleva says that reducing stress and anxiety for hopeful parents is a worthy goal – but the road ahead is not easy.

“Even with AI, this is a huge challenge for all of us, but we’re confident we can make good things happen.”

Participating in the Health Incubator Helsinki – as one of Batch II companies – has given Veleva confidence to keep going forward on her chosen path.

“The program has a solid, positive structure that is giving us great support, also peer support through the pandemic,” she says, admitting that she has missed face-to-face encounters.

“Covid has really hit communication between people, but we’ve tried to adjust. It feels like things are improving now.”

Fast Facts

Name: Knewborn

Product: Improving the predictability of fertility treatments via machine learning

Founded: 2020

Team size: 10

Target customer/market: Fertility clinics, couples with infertility issues

Check out all the companies in the Health Incubator Helsinki program

Text: Sami J. Anteroinen

Knewborn fights infertility with computer algorithms

Award-winning thesis led to idea development

Overlap in competences from three countries

Health Incubator Helsinki as support

Fast Facts

More case stories

Finnish startup Olo delivers the perfect sonic recharge

Sonai Health from Finland is on a mission to re-invent heart diagnosis

Finnish startup NADMED measures NAD molecules for better health

Health Capital Helsinki

Sign up to our newsletter

Knewborn fights infertility with computer algorithms

Award-winning thesis led to idea development

Overlap in competences from three countries

Health Incubator Helsinki as support

Fast Facts

Share this entry

More case stories

Health Capital Helsinki

Sign up to our newsletter

Follow us