
Raising $2M Pre-Seed
Introducing LURA
The Computational Barrier in Oncology
$2.6B + 12+ years per drug. Most oncology candidates still fail. Why? Tools give probabilities — not why a drug works in one context but fails in another.
Elyris Labs Ends the Guesswork
LURA delivers causal mechanistic insight into real tumor biology — explaining why compounds succeed or fail. Stop wasting experiments. Start advancing drugs that actually work.
Proudly accepted into the NVIDIA Inception Program.
This validates LURA — our GPU-accelerated 3D tumor simulation engine — and unlocks NVIDIA’s top-tier GPU resources, technical support, and co-marketing. We’re already running millions of parallel causal experiments in hours on A100s. With Inception, we’re accelerating even harder: deeper TME modeling, sub-100ms screens, and faster pilot rollouts for oncology teams. Momentum building as we raise $2M to put LURA in drug discovery pipelines worldwide.
Platform Performance
LURA accelerates and de-risks cancer drug discovery and relational mapping with validated, mechanistic simulation.
Why These Numbers Matter
Traditional oncology discovery wastes billions on candidates that fail due to unmodeled 3D barriers and mechanisms. LURA's physics + AI approach cuts through that — delivering 10–20× faster insights, validated accuracy, and sub-second responses so teams focus on winners.

Aanu Oshakuade
Co-Founder/CEO | Computer Engineering | AI/ML

Elisha Sannousi
Co-Founder | Clinical & Translational Engineer (M.S. Translational Medicine, Bioengineering)

Samuel Tandeka
Co-Founder | Engineering Management & Business Development (M.S. Engineering Management) (B.S. Electrical Eng.)



