Riven Systems Raises $7.9M Pre-Seed for Critical Minerals AI

Riven Systems has emerged from stealth with $7.9M in pre-seed funding to build an AI platform for critical-minerals processing. The New York company says its system will combine autonomous laboratories, computational modeling, and artificial intelligence to design, de-risk, and operate mineral separation processes.

The round was led by Cerberus Ventures, with participation from Scout Ventures, Alumni Ventures, Lightscape Partners, and CLAI Ventures. New System Ventures served as Riven's incubating investor, according to the company's August 13, 2026 announcement.

The news matters because mineral supply chains do not end when ore leaves the ground. Processing determines whether raw material can reach the purity and specification required by defense, energy, semiconductor, and advanced-manufacturing customers, and the United States is trying to rebuild more of that capability domestically.

What Riven Systems Is Building

Riven describes its product as an integrated AI platform for industrial chemistry. Its initial focus is critical-mineral separation, including rare earths, with software and automated experimentation intended to help operators discover extractants, optimize processing chemistry, and deploy feedstock-specific systems more quickly.

That approach treats processing as a learning problem as much as a construction problem. Ore bodies, tailings, and other feedstocks vary chemically, so a process that works for one stream may not transfer cleanly to another. Riven's thesis is that tighter feedback between laboratory experiments, computational models, and real facilities can shorten the path from a chemistry hypothesis to an operating process.

The company says the funding will support product development and hiring across computational chemistry, machine learning, process chemistry, engineering, and commercial roles. Riven's first product is planned as a platform for designing, scaling, and operating mineral-processing facilities, but its longer-term ambition extends to other industrial-chemistry markets.

The Team and Investor Group

Riven is led by co-founders Kurt "Chip" Breitenkamp, Ph.D., CEO, and Orion Archer Cohen, CTO. Breitenkamp previously served as president of battery-materials manufacturer NanoGraf and is named as an inventor on more than 20 patent families, while Cohen earned a chemistry Ph.D. from UC Berkeley and contributed to the Materials Project and TorchSim, an open-source atomistic-simulation tool.

The pairing is relevant to the product. Breitenkamp brings experience moving materials science from research into manufacturing, while Cohen's background sits at the intersection of computational chemistry, materials modeling, and AI. Riven must connect both disciplines because industrial customers do not buy elegant simulations; they buy repeatable chemistry that works with real feedstocks, equipment, cost constraints, and purity targets.

Cerberus Ventures led the pre-seed, and Riven identified Scout Ventures, Alumni Ventures, Lightscape Partners, and CLAI Ventures as participants. New System Ventures incubated the company, fitting the firm's stated focus on energy security, reindustrialization, and industrial technology. No valuation was disclosed, and DevCuration found no independently verified earlier financing round, making $7.9M the confirmed disclosed funding total.

Why Critical-Minerals Processing Matters

The mineral-security problem is broader than any single metal. U.S. Geological Survey data shows that China accounted for at least half of global production across numerous important minerals in 2024, including 99% of primary gallium, 82% of natural graphite, and an estimated 71% of mined rare earths. Production and processing are not identical, but the figures show how concentrated several material supply chains remain.

Washington has responded with policy and public funding aimed at domestic production and processing. In May 2026, the U.S. Department of Energy announced $45.7M for 19 critical-materials projects, including pilot-scale work on magnesium and rare earth elements. Riven is entering a market where national-security policy, industrial demand, and technical execution are pulling in the same direction.

Riven also received a DOE Genesis Mission award. The Genesis Mission is designed to connect AI systems, supercomputers, experimental facilities, and scientific datasets, and Riven says it is collaborating with Berkeley Lab, Los Alamos National Laboratory, and UC Berkeley on novel extractant discovery with an initial focus on rare earths.

What the Funding Signals

The round is another example of AI moving beyond digital workflows and into physical industry. In this setting, AI is not a conversational interface sitting on top of a database. It is part of a system that selects experiments, learns from chemical results, improves models, and helps engineers decide which process deserves capital and scale-up work.

That distinction could matter for economics. Mineral-processing facilities are expensive, slow to qualify, and vulnerable to feedstock variation. Better modeling and automated experimentation will not remove those realities, but they may help teams reject weak process paths earlier, identify stronger chemistry sooner, and reduce the risk that a facility is designed around assumptions that fail outside the laboratory.

Investors are effectively underwriting a faster learning curve for industrial chemistry. The wager is not that software replaces plants, scientists, or process engineers. It is that a better experimentation and modeling loop can make those people and assets more productive while the United States races to restore capabilities that took decades to migrate overseas.

What to Watch Next

Riven now has to prove that its platform can generate improvements that matter at process scale, not just in controlled experiments. Important milestones will include validated separation results, pilot deployments, customer or producer partnerships, repeatability across different feedstocks, and evidence that the system can reduce development time or operating cost without sacrificing purity and reliability.

The company also must convert public-sector collaboration into a commercial product. The Genesis Mission award and national-laboratory relationships can provide scientific credibility and access to specialized expertise, but buyers will ultimately judge Riven on throughput, economics, safety, and integration with existing infrastructure.

A $7.9M pre-seed round cannot rebuild a domestic critical-minerals supply chain by itself. It can fund an attempt to make the chemistry learn faster, and that may be one of the more consequential places to apply AI if the goal is industrial independence rather than another productivity demo.