Pioneering the Future of Environmental and Biomedical Intelligence
At Axine, we believe that advanced AI should transform how we understand and interact with the natural world and human health. Our mission is to push the boundaries of scientific discovery by developing cutting-edge platforms that map environmental risk at scale and accelerate context-aware drug development. We empower organizations to make faster, smarter, and safer decisions — from predicting soil contamination to prioritizing high-probability therapeutic candidates — driving measurable impact for industries, healthcare, and the planet.
Our Vision
Environmental and human health decisions are guided by intelligent insight. Contaminated sites are identified and remediated at scale without delay. Life-saving therapies are discovered faster, safer, and optimized for the disease context. Advanced scientific AI empowers organizations to act with precision and confidence, accelerating solutions that benefit both people and the planet.
What we do
We are scientists, engineers, and AI innovators united by a single goal: to harness advanced machine learning and computational modeling to solve critical environmental and biomedical challenges.
Environmental Intelligence at Scale
AxineHMAS predicts soil heavy metal contamination using hyperspectral imaging and AI, enabling rapid, large-scale environmental assessments without the need for costly on-site sampling.
Disease-Aware Drug Discovery
AxineScreen accelerates drug development by generating and evaluating candidate compounds within the context of a specific disease. Our proprietary Drug Worthiness Score guides lead optimization, balancing efficacy, safety, and pharmacokinetics to prioritize clinically viable candidates.
Translational Scientific Impact
By combining predictive modeling, generative chemistry, and context-aware optimization, Axine empowers organizations to make faster, more informed decisions — reducing risk, cost, and time in both environmental and therapeutic applications.
Why Choose us?
- Interdisciplinary Scientific Expertise
- Our team combines computational scientists, AI researchers, chemists, and environmental specialists to tackle complex problems from multiple angles.
- AI-Driven Innovation
- We leverage cutting-edge machine learning, generative modeling, and multi-layered simulations to deliver actionable insights for environmental monitoring and drug discovery.
- Precision & Reliability
- Axine platforms are built on validated models, large-scale datasets, and rigorous disease- and environment-aware frameworks, ensuring that predictions and recommendations are scientifically robust and trustworthy.
- Transformative Impact
- From large-scale soil contamination mapping to disease-contextual drug development, we empower organizations to make faster, smarter, and safer decisions that save time, reduce costs, and accelerate scientific progress.
Innovators and Scientists on a Mission
Meet the Axine Team
At Axine, our team is a fusion of computational scientists, AI researchers, chemists, and environmental specialists. We come from diverse scientific and engineering backgrounds but share a singular vision: to harness advanced technology for high-impact environmental and biomedical solutions.
We are pioneers in disease-aware drug discovery, leaders in large-scale environmental intelligence, and experts in AI-driven molecular modeling. Our expertise spans machine learning, generative chemistry, hyperspectral imaging, pharmacokinetics, and predictive ADMET modeling — all focused on delivering actionable insights that accelerate scientific progress and decision-making.
Mr. David Adeyemo
Founder & CEO
Visionary leader driving Axine’s mission to transform environmental intelligence and disease-aware drug discovery through advanced AI platforms.
Miss Loveth Iyanyi
Pharmacologist
Expert in drug mechanisms and ADMET profiling, guiding molecular evaluation and therapeutic optimization.
Dr. Theresa Umeji
PhD, Pharmacology
Leads scientific strategy for pharmacological modeling and ensures disease-contextual insights inform drug candidate prioritization.
Mr. Damilola Oni
Lead Engineer
Oversees development of Axine’s AI architectures, generative modeling pipelines, and platform scalability.
Mr. Daniel Amogu
Team Coordinator / Operations
Manages team workflows, project timelines, and interdepartmental coordination to keep Axine’s research and engineering operations aligned.