AI-Powered Drug Discovery

We don't filter molecules. We design them.

Generative AI built on first-principles chemistry. We engineer ~20 optimized drug candidates per target — validated for binding, ADMET, and synthesizability.

About Us

A new way to create molecules

The problem: Developing new pharmaceutical compounds remains a slow, expensive, and uncertain process. Much of molecular design depends on iterative, lengthy, and costly processes.

The solution: By combining deep chemistry with artificial intelligence, we design optimized molecules from the start. Less time, fewer iterations, better candidates.

Chemistry + AI

We combine expert chemistry knowledge with advanced AI technology to solve complex real-world problems.

Design from the start

We don't filter afterwards. We design well from the start with physics-based models, not just correlations.

The platform of the future

We're not building a point solution. We're building the infrastructure that will redefine how the industry discovers compounds.

What We Do

Molecular design with scientific precision

We design molecules built to work in real conditions, not just in simulation.

Protein 1
Protein 2
Protein 3
Protein 4

Affinity

Optimized to bind to the biological target with high selectivity

Physicochemistry

Optimal pharmacokinetic profile for bioavailability

Early ADMET

Absorption, distribution, metabolism, excretion and toxicity

Synthesizability

Molecules that can actually be synthesized in the lab

Our Difference

Most generate possibilities.
We generate viability.

Constraints from design, not post-filtering. Every molecule is born optimized for experimental success.

Traditional Industry

LeadPinn

Filters after generating

Constraints from design

We don't filter afterwards, we design well from the start

Statistical correlations only

Physics-based models

Not just correlations, fundamental principles

Optimized for simulation

Optimized for experimental success

Every molecule is designed for the laboratory

Limited search space

Unlimited Potential

No limits in the molecular exploration space

Process

How We Work

A structured process from start to finish

1

Target definition

We identify the biological objective and its characteristics

2

Hit generation

AI generates thousands of promising candidates

3

Lead selection

Comprehensive evaluation and optimization

4

Validation support

Complete experimental accompaniment

Less time.
Less trial and error.
Better candidates.

Accelerating drug discovery with artificial intelligence based on scientific-physical principles

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