In a lab in Toronto, a small team is asking a chemistry question that, until recently, would have taken a supercomputer cluster a very long weekend to answer: which novel semiconductor materials, when dropped into contaminated water and hit with sunlight, will rip apart pathogens and organic pollutants without any added power, filters, or chlorine? Xatoms, founded in 2024, is betting that quantum chemistry simulations paired with machine learning can shortcut the search, and that the resulting photocatalysts can clean drinking water in places where the grid is a rumor and a pump is a luxury [BetaKit].
The company's pitch is solar-activated water purification. CEO and co-founder Diana Virgovicova, alongside Kerem Topalismailoglu and Shirley Zhong, is using computational chemistry to discover materials that absorb visible light and catalyze the breakdown of contaminants [Xatoms]. The wedge is the discovery engine itself: rather than synthesize and test thousands of candidate compounds in a wet lab, Xatoms screens them in silico and only makes the ones the model says should work. According to the University of Toronto Entrepreneurship office, the company has secured roughly $3 million to scale that approach [University of Toronto Entrepreneurship].
That $3 million pre-seed is unusually well-decorated for a company barely a year old. Backers include Alexis Ohanian's 776, BoxOne Ventures, BDC, Genesis Ventures, and Quantacet, with angel checks from Joe Gagliese, Evan Kubes, Alex Challans, and Jennifer Francis [Private Capital Journal; Tech Funding News]. Xatoms is also a participant in the 776 Climate Fellowship and the Compute for Climate Fellowship [The Recursive].
The bet is interesting
Roughly two billion people drink water from sources that are not safely managed, and the dominant disinfection technologies (chlorination, UV lamps, reverse osmosis) all assume infrastructure: chemicals, electricity, replacement parts, trained operators. A photocatalyst that works on sunlight alone, sprinkled into a tank or coated onto a surface, sidesteps most of that. The catch has always been finding a material that is cheap, stable, non-toxic, and active under visible light rather than UV. That is exactly the search problem that quantum chemistry, run at scale, is suited to.
The team and the runway
Virgovicova's origin story is unusual for a deep-tech founder. She entered the Stockholm Junior Water Prize circuit as a teenager working on water purification in Slovakia and later moved through the University of Toronto's engineering and entrepreneurship pipeline before founding Xatoms [University of Toronto Engineering Podcast]. Topalismailoglu, the CTO, is currently hiring [LinkedIn]. Matt Damon, through his water-focused philanthropy, has been publicly associated with the company alongside Ohanian [BetaKit].
| Metric | Value |
|---|---|
| Pre-seed raised | $3,000,000 |
| 776 Climate Fellowship | 1 program |
| Compute for Climate Fellowship | 1 program |
What bears will say, and what bulls answer
The credible bear case is that photocatalytic water treatment has been an academic field for thirty years and the graveyard is full of titanium dioxide variants that worked beautifully on a microscope slide and never made it into a village. Materials degrade. Real water has silt, organic load, and biofilm that fouls surfaces. Field deployment is a different sport than discovery. Xatoms's most plausible answer is that the bottleneck has historically been the search space, not the physics: if quantum simulation genuinely expands the candidate pool from a few hundred well-studied compounds to tens of thousands of plausible ones, the odds of finding a material that survives contact with reality go up materially. The fellowship with Compute for Climate suggests Xatoms is taking the compute side of that argument seriously [The Recursive].
What to watch
The next twelve months will likely bring a lead-material announcement, a pilot deployment somewhere the company can show before-and-after pathogen counts on real water, and probably a seed round in the $6M to $12M range to fund synthesis and field work. Hiring is already underway on the technical side [LinkedIn]. If the company can publish a peer-reviewed result showing a novel, AI-discovered photocatalyst outperforming a known baseline on real contaminated water, that is the moment the thesis stops being a deck and starts being a company.