Our Vision

Computing the Infinite.
Predicting What Works.
Beyond AI

The Validated Infrastructure for Multi-Combination Therapies — Without Trial & Error. Without Animal Testing.

The Combinatorial Frontier

There are nearly one million known natural compounds and over 4,000 FDA-approved drugs. When these compounds are combined across different doses, the number of possible combinations grows beyond the number of atoms in the observable universe.

Within these combinations likely exist solutions for disease, longevity, and healthier living. However, overwhelming complexity is why traditional drug discovery focuses on single compounds using animal testing, leaving most potential solutions unexplored.

CytoSolve® changes this.

Why CytoSolve®

CytoSolve® is a computational systems biology platform that makes it possible to model, compute, and understand biology at scale. By integrating molecular pathways into unified system models, CytoSolve® predicts how compounds interact inside living systems, thereby enabling the discovery of safe and synergistic multi-combination therapeutics and formulations.

CytoSolve® serves as a foundational infrastructure for modern biology, supporting discovery, intellectual property creation, and commercialization across human, animal, and plant health.

CytoSolve® enables its partners to move beyond trial and error to discover what truly works.

Founded in Systems Science

CytoSolve® was born from a breakthrough in systems biology at MIT. It was founded by Dr. Shiva Ayyadurai, MIT PhD, whose doctoral research enabled the scalable integration of disparate biological models into a single, executable architecture—a capability long considered computationally infeasible.

By moving beyond monolithic programming to a distributed, parallelized framework, Dr. Ayyadurai created a way to model the "system of systems" that governs life.

What began as a pioneering academic achievement has evolved over the last 15 years into a production-grade infrastructure for computational systems biology, providing the mechanistic certainty required for the next generation of medicine.

Our Solutions: Computing the Complexity of Life

CytoSolve® integrates decentralized mechanistic models into coherent, system-level simulations. Unlike "black-box" AI, our platform utilizes validated biological knowledge to compute emergent behavior across any living system—quantitatively, causally, and reproducibly. We have transformed systems biology from a theoretical pursuit into a high-speed engine for industrial execution.

  • Trillion-Scale Evaluation: Rapid in silico screening of compound combinations.
  • Multi-Species Versatility: Modeling complex interactions in human, animal, and plant biology.
  • Precision De-Risking: Reduction of costly experimental trial-and-error.
  • Regulatory-Ready Insights: Explainable, mechanistic predictions suitable for rigorous review.

Proven Beyond Simulation

Our infrastructure is built on peer-reviewed science and a robust portfolio of granted patents. CytoSolve® discoveries have already moved from simulation to reality, resulting in manufactured products and FDA allowance for novel multi-drug combinations.

  • Disease Systems Architectures: Mapping the fundamental blueprints of pathology and biological dysfunction.
  • Peer-Reviewed Validation: Ensuring every model is grounded in verified, multi-disciplinary scientific truth.
  • Executable Pathway Modeling: Turning static biological data into dynamic, running simulations.
  • Computational Combination Discovery: Navigating the infinite mathematical space of synergy and formulation.
  • Intellectual Property Generation: Creating defensible assets backed by causal, mechanistic data.
  • Commercialization & Licensing: Bridging the gap from computational discovery to global market readiness.

Integrating World-Class Discoveries

Developing and Validating Large-Scale Systems Architectures and In-Silico Models of Diseases and Complex Biological Phenomena

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Our Partners: 15 Years of Collaborative Stress-Testing

The legacy pharmaceutical infrastructure took nearly 150 years to develop. CytoSolve® has spent the last 15 years accelerating that timeline through deep collaboration with global leaders in research, pharma, CPG, and agriculture.

We thank our partners for their role in stress-testing and validating our platform. Their demand for mechanistic certainty—across diverse biological applications—has shaped CytoSolve® into the world’s most rigorous computational operating layer.

The Multi-Industry Advantage: Using the same core infrastructure, our partners:

  • Identify molecular pathways driving complex behavior in humans, animals, or plants.
  • Predict synergy and toxicity before a single physical experiment is run.
  • Design rational, multi-compound formulations for health, nutrition, and resilience.
  • Generate high-value, defensible IP across the life science spectrum.

Our Partners

15 Years of Collaborative Validation

The Era of Systems Biology is Here

Biology has entered an era of combinatorial complexity that traditional tools simply cannot navigate. Statistical AI cannot explain the "why" behind biological outcomes, and trial-and-error cannot scale to meet the demands of modern discovery.

CytoSolve® provides the missing infrastructure required to compute biological systems safely, causally, and at scale. After 15 years of rigorous development and successful private validation, we are ready for "prime time." The platform exists. The science is validated. The infrastructure is now being opened to the world.

Partner With Us

Whether you are a researcher, a pharmaceutical developer, or an innovator in nutrition, the CytoSolve® computational operating layer is now available to accelerate your pipeline. Move beyond guesswork and start discovering what truly works.

  • Identify molecular pathways driving complex behavior in humans, animals, or plants.
  • Predict synergy and toxicity before a single physical experiment is run.
  • Design rational, multi-compound formulations for health, nutrition, and resilience.
  • Generate high-value, defensible IP across the life science spectrum.

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