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MiningPre-seedNew York City, NYVerified

Riven Systems

AI and autonomous laboratories for domestic mineral processing.

MiningMaterialsSoftware for industrySupply chain
What they build

The product

Riven is building a chemical-intelligence platform for designing, scaling up, and operating critical-mineral processing facilities. The system combines autonomous laboratories, computational process and thermodynamic modeling, and AI to discover separation chemistry and translate it into plant-ready flowsheets.

Why it matters

The thesis

Critical minerals are only useful after difficult separation and refining steps, and Western supply chains lack much of that processing capacity. Riven's approach is intended to replace slow trial-and-error chemistry with automated experiments and models that can reduce development time, stage count, equipment requirements, reagent use, energy consumption, and ultimately the cost of new domestic processing capacity.

Operating model

How it runs

Riven works with mineral owners and processors on their actual feedstocks and target flowsheets. Its self-driving lab runs large numbers of automated experiments, the results train computational and machine-learning models, and promising chemistries can then be validated with the industrial partner and carried into facility design and operation.

Revenue model

How it earns

Commercializes a hardware-enabled AI and autonomous-laboratory platform through enterprise pilots and partnerships that can expand into scaled, multi-site deployments for critical-mineral producers and miners.

Strategic edge

Why it wins

Riven closes the loop between physical chemistry and computation: a self-driving mineral-separation lab generates proprietary experimental data, modeling and AI select promising conditions or molecules, and process-engineering work carries the result toward scale-up. That integrated discovery-to-operations scope is broader than a standalone lab-automation or modeling tool.

Source material

Evidence ledger

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