Applied AI · Computational biology · Inclusive health intelligence
Building longitudinal
health intelligence.Beginning with hair, scalp and skin.
Noma Sana Labs is an applied AI and biological research company developing responsible and inclusive approaches to understanding change over time. Diverse data, AI safety and human oversight are designed into the work from the outset.
AI ecosystem
Noma Sana Labs is an NVIDIA Inception member.
Noma Sana Labs is part of NVIDIA Inception, supporting the company’s development across applied AI, computational research and responsible technical infrastructure.
INCEPTIONOur research focus
Visible biology deserves more inclusive study.
Hair and scalp are widely observed, deeply personal and historically underrepresented in research. Noma Sana Labs is developing a responsible research programme centred on diverse populations, careful validation and human oversight.
This question is being explored through non-diagnostic research and biological validation.
One observation provides a snapshot. Repeated observations create a longitudinal record.
- 01Consented capture
- 02Context
- 03Change over time
- 04Quality checks
Research shaped by evidence.
Noma Sana Labs brings biological research and responsible computation together under human oversight. Evidence determines what can progress and where further research is required.
Biological research. Careful investigation of visible biological change over time.
Evidence is earned, one step at a time.
Each new use must be earned through evidence. Observation alone does not establish biological meaning, and research evidence does not automatically permit a clinical claim.
Responsible and inclusive AI.
Hair, scalp and skin vary widely between people. Strong average performance can conceal weak performance within particular groups, so models must be evaluated across populations, not only as a single overall result.
Founder and company
Technology leadership shaped by lived experience.
Lilian Odogwu has spent more than 15 years turning complex technology programmes into working systems, with experience spanning software delivery, technical leadership, digital transformation and organisational change.
- Software delivery
- Technical leadership
- Digital transformation
- Organisational change
Years of visible hair and skin change preceded clear answers. That experience shaped Lilian’s commitment to more inclusive longitudinal research, responsible AI and stronger evidence around biological change. Scientific conclusions must come from rigorous research and validation.
Research and technical collaboration.
Bold questions need careful collaborators. Choose the route that fits your work.
Build with us
For AI, computer vision, data infrastructure and responsible-technology talent.
Build with us