The Silent Enabler of Every Deep Tech Breakthrough

December 2020 • FailUp Capital Research Team

Every technology revolution in history has been enabled by a materials revolution that preceded it. The Iron Age. The Bronze Age. The silicon age of computing. The steel age of industrial manufacturing. When we trace major technological leaps back to their roots, we almost always find a materials scientist who discovered something nobody had seen before, or a process engineer who figured out how to manufacture a known material in a new way.

This pattern continues today, in ways that most venture investors are just beginning to appreciate. The next generation of electric vehicles requires battery chemistries that do not yet exist at commercial scale. Next-generation aerospace vehicles require structural materials that can withstand extreme temperatures while remaining light enough to fly. Advanced semiconductors require substrates and dielectric materials that push the boundaries of known physics. And the fusion energy systems that could power civilization indefinitely require plasma-facing components made from materials that barely exist in the laboratory, let alone in manufacturing.

At FailUp Capital, we believe advanced materials startups are systematically undervalued by the venture capital community — and that the founders who are solving materials challenges at the frontier represent some of the most important investment opportunities in deep tech.

Why Materials Science Has Been Undercapitalized

The venture capital industry has developed its assumptions and evaluation frameworks primarily from software investment. Software companies share several features that make them natural matches for traditional VC models: rapid iteration cycles, low marginal cost of scaling, network effects, and capital efficiency. A software startup can go from first line of code to millions of users in eighteen months, often on a few million dollars of seed capital.

Materials science does not work this way. Discovering a new material with extraordinary properties might take five years of laboratory work. Characterizing its behavior across temperature ranges, stress conditions, and operating environments takes additional years. Developing a scalable synthesis process takes more time still. And building the manufacturing infrastructure to produce the material at commercial volumes is another multi-year challenge requiring significant capital investment.

Traditional venture investors have often concluded that this timeline mismatch makes materials companies poor investments. The data suggests otherwise. Companies that own proprietary materials — whether through patents, trade secrets, or manufacturing process know-how — tend to have durable competitive moats that software companies cannot match. The time required to develop a materials technology is itself a barrier to entry: it means that a startup that has already run the gauntlet of scientific development and process scale-up is not easily replicated by a well-funded competitor.

The New Materials Discovery Era

One factor that is changing the economics of materials startups is the application of machine learning and computational chemistry to materials discovery. Traditional materials science relied on Edisonian experimentation: making a material, testing its properties, adjusting the formulation, and repeating. This process was measured in decades for truly novel material classes.

Computational approaches — density functional theory, molecular dynamics simulation, and increasingly, deep learning models trained on massive databases of known materials — are dramatically accelerating the discovery phase. The Materials Project at Berkeley and similar academic databases have catalogued the predicted properties of hundreds of thousands of materials. Machine learning tools trained on this data can identify candidate materials for specific applications in days rather than years.

This means that the experimental validation and scale-up phases — which remain inherently time-consuming — are increasingly the bottleneck, rather than the discovery phase itself. For founders, this changes the company-building calculus: computational materials companies can create massive proprietary databases of candidate materials and develop predictive tools that give them a structural advantage in finding the next breakthrough.

High-Entropy Alloys: A Case Study in Materials Opportunity

High-entropy alloys (HEAs) represent one of the most exciting materials science frontiers of the past decade. Conventional metallic alloys are based on one primary metal — steel is mostly iron, brass is mostly copper — with small amounts of other elements added to modify properties. HEAs invert this paradigm: they are composed of five or more elements in roughly equal proportions, creating complex, disordered structures with properties that cannot be achieved in conventional alloys.

Some HEAs demonstrate extraordinary combinations of strength, ductility, hardness, and corrosion resistance. Some maintain their mechanical properties at temperatures where conventional superalloys fail. Some are radiation-resistant in ways that make them candidates for use in nuclear reactors. The property space of HEAs is enormous and still largely unexplored — there are theoretically millions of possible HEA compositions, and only a tiny fraction have been investigated.

Startups working in this space face genuine challenges: synthesis is complex, characterization is expensive, and transitioning customers from decades-established conventional alloys to unfamiliar new materials requires extensive qualification testing. But the market opportunity is real: aerospace, nuclear, oil and gas, and defense customers are actively seeking materials that can perform reliably in extreme environments, and they are willing to pay substantial premiums for verified performance.

Two-Dimensional Materials and Their Commercial Potential

Since the isolation of graphene in 2004 — which earned its discoverers the Nobel Prize in Physics in 2010 — the family of two-dimensional materials has expanded dramatically. Graphene itself (a single layer of carbon atoms arranged in a hexagonal lattice) has extraordinary electrical conductivity, mechanical strength, and thermal conductivity. But the 2D materials family now includes dozens of other compounds, each with distinct properties and potential applications.

Transition metal dichalcogenides like molybdenum disulfide and tungsten diselenide are semiconductors with bandgaps that make them candidates for ultra-thin transistors, flexible electronics, and novel photodetectors. Hexagonal boron nitride is an excellent insulator that is being used as a substrate for graphene-based devices. MXenes — two-dimensional carbides and nitrides — show promise for energy storage, electromagnetic shielding, and filtration applications.

The challenge for 2D materials startups has historically been manufacturing: producing these materials with the purity, uniformity, and scale required for commercial applications. Several companies are now making meaningful progress on chemical vapor deposition and other large-area synthesis techniques. As manufacturing costs come down, the commercial applications — which span semiconductors, batteries, composites, coatings, and filtration — become increasingly viable.

Advanced Ceramics in Extreme Environments

Ceramic materials are among the oldest engineered materials in human history, but the frontier of advanced ceramics bears little resemblance to clay pottery. Ultra-high-temperature ceramics (UHTCs) — compounds of hafnium, zirconium, and tantalum with carbon, boron, and nitrogen — maintain structural integrity at temperatures above 2000 degrees Celsius, making them candidates for hypersonic vehicle leading edges, rocket nozzles, and next-generation thermal protection systems.

Silicon carbide fiber-reinforced ceramic matrix composites (SiC/SiC CMCs) have already entered commercial aerospace applications in jet engine hot sections, reducing component weight by up to 40% compared to nickel superalloys while operating at higher temperatures and improving fuel efficiency. The expansion of CMC applications — to turbine blades, combustor liners, and eventually structural components — is one of the clearest near-term commercialization paths in advanced materials.

The Investment Framework for Materials Startups

When FailUp Capital evaluates a materials startup, we are looking for several things that differ from our evaluation of other deep tech companies. First, we want to understand the defensibility of the materials discovery itself: is there a patent, a trade secret, a unique manufacturing process, or some combination of these that prevents a well-resourced incumbent from simply replicating the material once it is disclosed? Second, we look for a clear application focus — materials companies that try to address too many markets simultaneously rarely make the focused investments required to prove performance in any of them. Third, we want to see a credible path to manufacturing scale-up, including evidence that the founders understand the process engineering challenges that will arise as they move from laboratory quantities to commercial volumes.

Key Takeaways

• Advanced materials science is the foundational enabler of virtually every hard tech domain, from aerospace to semiconductors to energy storage.
• Materials startups have been systematically undercapitalized by venture investors due to timeline mismatches with software-era VC expectations.
• Computational materials discovery is dramatically accelerating the pace of new materials identification, changing startup economics.
• High-entropy alloys, 2D materials, and ultra-high-temperature ceramics represent frontier material classes with massive commercial potential.
• Defensibility in materials companies comes from process know-how, trade secrets, and manufacturing scale-up expertise — not just patents.