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he world has never been more complex. We’re flooded with information, paralysed by choice, and pushed to make faster decisions in systems we barely understand. We skim, scroll, react, and optimise — yet progress in health, biology, and human potential still feels frustratingly slow. Breakthroughs take decades. Discovery happens by accident. Entire fields move forward on intuition as much as evidence. And in a landscape where hype accelerates faster than science, real understanding feels rare.
Cusp saw things differently. Long before foundation models entered the lab, the founders believed the future of biology would depend not on more experiments, but on deeper insight — intelligence that helps scientists understand complexity, not drown in it. The idea was bold, almost countercultural: discovery shouldn’t rely on serendipity. Models should explain the world, not obscure it. Scientific tools should amplify human reasoning, not replace it. A new layer of intelligence could accelerate breakthroughs that matter — from medicine to materials — and build a healthier, more resilient world.
“Giant understood our mission from the very beginning: to give leaders a clearer way to think in an increasingly complex world.”
Mapping the code of life.
What began as a question — what if we could model biology with the same depth and interpretability as language? — has become one of the most advanced scientific intelligence platforms of the modern era. Cusp didn’t just adopt AI; they re-engineered how it can be used in science. They built systems that learn from the richness of the natural world, translate biological signals into structured understanding, and give researchers a way to explore complexity with clarity. Their technology is reshaping how teams uncover mechanisms, design new therapeutics, predict outcomes, and push the boundaries of what’s possible in human health and innovation.
Cusp’s work marks a shift from observing biology to truly understanding it. By making the invisible visible — from molecular interactions to system-level behaviour — they are giving scientists the ability to test ideas faster, explore possibilities earlier, and generate breakthroughs that were previously unimaginable. This is more than computational power; it is a new kind of scientific reasoning, one that helps humanity move from trial-and-error towards precision, foresight, and deeper biological intelligence.
Increase in speed for identifying key mechanisms across complex datasets.
Impact you can measure.
Discovery. Precision. Predictive depth. Scientific clarity.
Cusp’s intelligence platform is becoming the analytical backbone of modern biology. What began as a breakthrough in modelling biological systems with language-level interpretability has evolved into a trusted discovery layer for research teams around the world — helping scientists see mechanisms earlier, understand complexity faster, and design better interventions with confidence.
Built for the realities of modern science, Cusp’s technology is transparent, rigorous, and engineered to navigate biological complexity with nuance and certainty. It gives researchers the clarity they need to move from data to insight, and from insight to breakthrough.
Results
Teams using Cusp to model biology with clarity.
Biological predictions generated each year.
Increase in interpretability across complex datasets.
Custom biological models built on Cusp’s platform.
Cusp is becoming the quiet infrastructure behind next-generation scientific discovery. Its models don’t just analyse biology — they reshape how researchers explore mechanisms, design therapeutics, and make decisions at the edge of innovation. As more teams adopt Cusp, the compounding effect is profound: deeper insight, faster iteration cycles, and a scientific culture that replaces intuition alone with grounded, interpretable intelligence.
Progress accelerates here.
Cusp has already begun reshaping how researchers understand biology, make discoveries, and design new therapies — proving that intelligence grounded in mechanistic understanding can unlock breakthroughs that once felt out of reach.
But this is only the beginning. As new biological datasets emerge, as models grow more expressive, and as Cusp’s network of partners expands, the frontier will move again. The next chapter will build systems that don’t just analyse biology, but help scientists anticipate it — enabling teams to uncover mechanisms sooner, iterate faster, and move through scientific complexity with unprecedented clarity.
