Investment Announcement
Critical minerals, and the few nations who control the vast majority of them, are central to every country's resilience strategy, as frontier industries are constrained by the availability of materials catalyzing heat transfer, compute, propulsion, communications, and energy storage.
Atomic Tessellator is tackling this exact constraint. Their approach reworks how foundational materials are invented and brought to market by pairing advanced computation with strategic commercialization to reduce down to months the decade-long R&D cycles that have traditionally defined the sector.
That is why we are proud to announce Outset’s investment in Atomic Tessellator.
The theoretical to commercial-grade bottleneck
For decades, the pathway from a promising material candidate to a commercial-grade product has been expensive and uncertain. Discoveries sit dormant on a researcher’s desk long after their theoretical performance has been demonstrated. By stunting before commercial adoption, this cycle just repeats and reinforces supply dependencies on single sources of critical inputs.
Atomic Tessellator’s platform changes that dynamic by tightly integrating machine learning assisted design with accelerated validation workflows. The result is a [materially] faster journey from supply constraint to commercial grade material replacement, allowing for new compositions that hit the same specs to go to market at a fraction of the time.
Starting with materials that matter
Each material candidate in Atomic Tessellator’s pipeline connects back to significant portions of the global economy where supply risk and performance demands intersect.
Today the company announced their synthesis of Vireon, the world's first rare earth-free magnet that outperforms existing rare earth alternatives. Permanent magnets are critical to high performance motors used in aerospace, defense, industrial automation and electric mobility. Beyond magnets, Atomic Tessellator’s platform is being applied to other high impact material classes that tie back to energy storage, power electronics, and specialty industrial sectors. These are not narrow niches in a materials discovery context.
Founder with both technical depth and commercial drive
Atomic Tessellator is led by Alain Richardt who comes with deep experience spanning large scale software systems and applied machine learning.
Alain spent a large part of his career at Google working on distributed infrastructure at global scale before spending a handful of years running a deep learning consultancy across energy, satellite processing, and real time systems. That background shaped AtomicT’s architecture: 1) enterprise grade, 2) production ready, and 3) built for industrial workloads.
Alain approaches materials discovery with a unique commercial urgency. From the [O]utset, he has focused on compressing the timed path from simulation to market to address the core bottleneck that has historically limited materials innovation.
We’re excited to support Atomic Tessellator on this journey, and to partner with founders like Alain who are pushing the frontier of industrial resilience technologies.
