Apoha is betting that the key to unlocking many new kinds of materials rests in a kind of data that does not exist yet at scale: measurements of the wave forms these materials generate when suspended in a liquid and then acted on by outside forces. It turns out that these warm forms are unique to each material and also correlate to its properties, including qualities such as smell and taste, as well as things like reactivity. With enough of this wave data, Apoha’s AI models will be able to suggest ways to modify or create a material in order to obtain the exact characteristics a user desires. Apoha calls this new AI method “liquid intelligence.”
The company’s name comes from a Sanskrit word that means “negation or exclusion” and is part of Buddhist philosophy that things are defined by what they are not more than by what they are.
Apoha has built a piece of laboratory hardware that takes a sample of material so small it would fit on the head of a pin, suspends it in a liquid, and then applies a controlled series of tiny physical stresses to it. The device records the wave patterns that ripple back through the liquid in response. According to the company, those patterns yield more than 1,000 distinct numerical descriptors of how the material behaves, captured in a single run that takes minutes rather than the days or weeks conventional lab tests require.
That readout — which the company calls VIBE, short for Variations in Inter-facial Behaviour Under Excitation — is its first commercial product. Apoha then turns the raw recordings into what Shrivastava calls a “behavioral embedding,” a numerical fingerprint that AI models can be trained to recognize, compare and learn from.
The VIBE measurement, Apoha’s cofounders say, can predict whether a drug will hold together inside the body, whether a plant-based protein will tear apart on the tongue like chicken meat, or how a new material will wear over time. One Apoha’s first customers was a food company that had to find a substitute for the key component in its plant-based vegan “chicken” within two weeks after a previous supplier went out of business.
Outside pharma, Apoha is working with German biotech Ethris on predicting how lipid nanoparticles carrying mRNA—the same kind of delivery vehicle used in some COVID-19 vaccines —will behave in animals. The startup also works with Somru BioSciences and what it describes as multiple Fortune 500 customers across pharma, food and beverage, and materials.
Apoha says it has completed a total of about 40 customer projects to date. The company has about 25 employees.
Srivastava said the Series A funds will go toward scaling Apoha’s platform—which includes custom hardware for carrying out the experiments needed to obtain the VIBE data, as well as the AI models built from the data—to handle more sample types and more customers.
Raffi Kamber, co-founder and general partner at Singular, said in a statement that Apoha represents “a new generation of European scientific companies where AI is not a future promise, but a practical tool already transforming how biology is done.”
Correction, June 3: An earlier version of this story mischaracterized the funding Apoha announced as a Series A round. It is in fact the cumulative amount the company has raised between its 2024 seed round and its latest unlettered funding round.
