About Axine

Built on precision,driven by impact.

Pioneering the Future of Environmental and Biomedical Intelligence

Axine builds ML systems for two problems: mapping soil contamination from hyperspectral satellite data, and ranking drug candidates against specific disease targets. We work in environmental science and biomedical research because both fields have urgent, unsolved problems where better data analysis changes outcomes.

Our Vision

What we see for the future

Contaminated land gets identified and prioritized before it harms people. Drug candidates that fail for the wrong disease context stop wasting lab time. Scale and speed of scientific assessment catches up to the scale and speed of the problems.

What We Do

Two platforms. Two hard problems.

We use machine learning and computational modeling to solve problems in environmental monitoring and drug discovery that don't respond well to traditional approaches.

Environmental Intelligence at Scale

AxineHMAS reads hyperspectral satellite data to predict soil heavy metal concentrations across large areas — no field sampling needed. It turns what used to be weeks of lab work into a spatial map produced remotely.

01

Disease-Aware Drug Discovery

AxineScreen generates and scores drug candidates for a specific disease target. The Drug Worthiness Score combines ADMET profiling, toxicity prediction, and selectivity into a single priority ranking — so researchers spend lab time on compounds that are actually likely to work.

02

Translational Scientific Impact

Both platforms reduce the cost of being wrong early. Whether that's sampling the wrong fields or advancing the wrong compound, better prediction earlier in the process saves significant time and money downstream.

03

Why Choose Us

Built on precision,
driven by impact

Interdisciplinary Scientific Expertise

Our team includes computational scientists, AI researchers, chemists, and environmental specialists. The problems we're working on need all of those perspectives in the same room.

AI-Driven Innovation

We use machine learning, generative modeling, and in silico simulation — not because they're fashionable, but because they're the right tools for problems where physical experiments are too slow or too expensive to run at scale.

Precision & Reliability

Our models are validated against real datasets and built with disease-specific and environment-specific context baked in. We don't ship a generic model and call it done — the science matters to us.

Transformative Impact

From contamination mapping to drug candidate prioritization, our platforms are designed to change what researchers can do in a day — not just add a new dashboard to an existing workflow.

Meet the Axine Team

Innovators and Scientists on a Mission

Axine's team spans computational science, AI research, chemistry, pharmacology, and environmental science. We're a small, technical group that moves fast and takes the underlying science seriously.

Our work covers machine learning, generative chemistry, hyperspectral imaging, pharmacokinetics, and ADMET modeling — across two platforms built to solve real problems in drug development and environmental monitoring.

David Adeyemo
Founder & CEO

Founded Axine to apply machine learning to two problems he cares about: soil contamination and drug discovery. Also leads the foundation's global healthcare work.

Dr. Theresa Umeji
PhD, Pharmacology

Leads the pharmacological science behind AxineScreen — making sure the drug scoring models reflect how compounds actually behave in the context of a target disease.

Shais Murtaza
Chief Revenue Officer

Shais brings a relentless drive and infectious energy that elevates everyone around him. His commitment to excellence and hunger to win make him a force at the commercial frontier of Axine.

Loveth Iyanyi
Pharmacologist

Pharmacologist specializing in drug mechanisms and ADMET profiling. Works directly on molecular evaluation for AxineScreen.

Daniel Amogu
Team Coordinator / Operations

Keeps research and engineering moving — manages workflows, timelines, and the coordination between teams that makes it all work.

Damilola Oni
Lead Engineer

Builds and maintains Axine's AI systems — including the generative modeling pipelines and core platform infrastructure for both products.

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