Read the thesis as a full PDF.
Healthcare is at an inflection point. Scientific discovery is accelerating, but systems of translation remain structurally stagnant. The result is a widening chasm between what is possible in principle and what is practiced.
Precision medicine and evidence-based care operate in tension. Payment models reward precedent over progress. The feedback loop between research and care is fractured. Rigid incentives, brittle workflows, and legacy infrastructure have turned the clinical frontier into a bottleneck.
This dislocation is not just a system failure. It is the defining investment opportunity of our time.
Across clinics, laboratories, and the fabric of everyday life, glimpses of the future of health are already emerging. Our goal is not to optimize the broken systems that exist, but to build what comes next. The opportunity and imperative is to rearchitect healthcare at its core.
At Breyer Capital, we invest where scientific discovery, clinical necessity, and institutional transformation intersect, catalyzed by potent forces reshaping the foundations of modern medicine:
Computation, which recasts medicine as an information science
Precision, which aligns intervention with individual biology
Prevention, which shifts care toward anticipatory systems of risk and resilience
For over a decade, we have incubated companies and invested in founders at this intersection. We partner early and deeply with entrepreneurs who are scaling these signals into structure, rebuilding healthcare with long time horizons in mind and systems-level ambition in view. Our portfolio spans AI-first diagnostics, programmable medicines, next-generation data infrastructure, new financial systems, clinician-empowering software, and novel care delivery models.
We take a long-term view because our capital is uniquely positioned to support bold, generational bets. Our partnerships begin early, often at inception, and grow through each stage of institutional scale. Our capital is patient. Our support is hands-on. Our perspective is global. We invest in founders who see around corners and then build the road.
The following principles guide our investment philosophy, shape our partnerships with entrepreneurs, and drive our strategy for supporting transformative companies across healthcare and life sciences.
Our Principles
1. Start with science.
Foundational research fuels paradigm shifts, but discovery without translation is unrealized value. Breakthroughs in science change both what we know and how we intervene. Molecular insights inspire new diagnostics and therapeutics, which reshape clinical models and cascade into new reimbursement structures. We back founders who see science as a portal into the future of how care is delivered, measured, and paid for.
2. Pursue precision.
Precision is the organizing principle for the future of medicine as care moves beyond traditional "one-size-fits-all" approaches to highly personalized preventative and interventional strategies. This transition will challenge existing norms of evidence and call for novel infrastructure to support targeted systems of intervention. Every area of medicine will evolve in this direction. The last era scaled standardization; the next will pioneer personalization.
3. Allow need to shape form.
Unmet need anchors every investment. A deep understanding of the nature of a problem best shapes the solution. Whether software, services, therapeutics, diagnostics, or a hybrid model, we let the substance of the need dictate the modality and capitalize opportunities accordingly. We approach solutions through a problem-specific, modality-agnostic framework.
4. Invent new primitives.
Surface-level inefficiencies often reflect deep architectural problems. We focus on the scientific, clinical, and economic roots of dysfunction. Enduring change begins with a sharply drawn future. We do not optimize broken systems, but rather, design new ones that anticipate the future. Our capital translates these visions into institutional forms, starting from the very beginning.
5. Define standards.
Generational companies do not chase benchmarks, they define them. At the early stage, benchmarks are lagging indicators. We back founders who reshape categories and establish the standards by which the field will be measured. These companies teach the system what outcomes matter most, and the market self-organizes in response.
6. Design full-stack systems.
We think in systems, not silos. True shifts in the standard of care, whether driven by science, regulation, or economics, demand full-scale redesign. We focus across the entire healthcare and life sciences system with emphasis on how different parts interact, rather than chasing narrow, incremental advances. We prioritize teams rearchitecting how care is delivered, paid for, and improved over time in the context of broader systems, not as point solutions but as platform shifts.
7. Bridge bench to bedside.
The divide between research and care must dissolve. Discoveries made at the bench must translate into impact at the bedside. The most effective systems unite discovery and delivery, forming a continuous loop of learning and improvement. The clinical interface becomes both a site of intervention and a source of inference, advancing medical knowledge one patient at a time.
8. Build in proximity.
We partner closely with physicians, scientists, patients, and exceptional operators. Our best partnerships are defined by clarity of vision, alignment of values, and urgency of execution. We value lived expertise as much as fresh insight and believe that many breakthroughs come from orthogonal thinking. We look for visionary outsiders grounded by operators who have lived the problem.
Our Theses
We identify the primitives that restructure health, from proteome to population. New markets emerge where science accelerates, infrastructure shifts, and incentives evolve. We invest where durable change takes root: at the intersection of discovery, data, delivery, and distribution.
Rebuilding the Clinical Stack.
Medicine is an information discipline. We support platforms that treat clinical reasoning as a computational problem. As intelligence seeps into the diagnostic layer, what was once variable becomes more consistent, scalable, and accessible. Value will accrue both upstream and downstream, from the data infrastructure that informs diagnosis to the care models that act on it. Systems that redesign how care is delivered must reimagine clinical roles, responsibilities, and interfaces from first principles. The goal is not a faster horse, but a new vehicle for care delivery.
Engineering Programmable Therapeutics.
We champion therapeutic platforms that apply molecular engineering and computational approaches to increase the probability of success against specific, high-burden clinical conditions. A deep understanding of disease mechanism is essential to unlock the potential of new chemistry and biology. These technologies bring structure to biological complexity through iterative design, modular experimentation, and mechanistic targeting. The goal is to build systems where each cycle of development improves the odds of translation.
Compressing Biomedical Time.
Time is a constraint on insight, intervention, and scale. We seek technologies that reduce latency in medicine between question and answer, between signal and action. Velocity emerges from structural shifts when episodic becomes continuous, when static processes begin to adapt, and when each interaction refines the next. Reshaping the temporal architecture of healthcare turns discrete workflows into continuous inference and response, enabling entirely new behaviors across adjacent systems that were previously bottlenecked by time.
Creating Precision Evidence Infrastructure.
Evidence-based medicine is built on retrospective, population-level inference. Precision care requires the opposite: real-time, individualized learning. As medicine becomes more targeted, the evidentiary systems surrounding it must evolve. We invest in the infrastructure that makes this shift possible. Clinical data becomes a live substrate for inference, not just documentation. Diagnosis and treatment are refined continuously, patient by patient. Evidence ceases to be a static benchmark and becomes a dynamic function of care itself.
Unlocking New Data Frontiers.
The largest opportunities in healthcare often emerge when data sources change state—coming online or shifting in structure. We focus on these points of transition when signals become machine-readable, when streaming replaces snapshots, and when disconnected modalities are fused into coherent, multi-modal maps of health. These state changes reset what is knowable, billable, and buildable. As data becomes continuous, multi-dimensional, and actionable, the foundation for new diagnostic frameworks, clinical products, and markets takes shape.
Advancing Continuous Prevention.
We believe in systems that reframe prevention as a continuous, lived experience. Health is shaped more by daily patterns than clinical encounters. The next generation of prevention platforms must meet people where they are, translating real-world behavior into timely, biologically grounded feedback that supports sustainable change. These platforms empower individuals to act on risk before it becomes disease. Prevention becomes anticipatory rather than reactive, personalized rather than prescriptive.
Redesigning the Economics of Care.
No system improves sustainably until the economics change. We support companies rebuilding the financial substrate of care: payment rails, underwriting models, and incentive structures that reward consistent outcomes over time. Sometimes science and technology push reimbursement forward. Sometimes reimbursement disciplines science and technology that fails to deliver value. We believe this tension is both necessary and healthy. Transformation and reimbursement must evolve together, or not at all.
How We Partner
Change in healthcare emerges at the boundaries: between research and care, software and science, people and technology. We work across these seams. Our partnerships span disciplines and institutions and are grounded in leading-edge science, unmet clinical need, and long-term ambition.
Our Team
The next era of human health will not be inherited. It will be engineered. If this vision resonates, we want to hear from you. No idea is too early. No vision too ambitious.
Morgan, Fantastic