Science-grade AI, built from Africa for industry and institutions
Mission
We are a consultancy that builds the data pipelines, physics-informed models and monitoring industrial companies and institutions need to act on their data with confidence, reducing waste, downtime and risk, wherever they operate.
Vision
Trustworthy, science-grade AI for every factory and public institution, built on physics, sound data engineering and rigorous evaluation.
How we earn trust
Physics first
We start from the laws that govern your process: heat, mass, moisture, wear. Models built this way need less data and stay within physically possible values.
Stated uncertainty
Every forecast comes with a range and a plain account of its limits. We use the same methods as our founder's peer-reviewed work (JASA, 2026).
Data foundations before models
We test and reconcile data before we trust it.
Humans in charge
Every model has a named owner, and every automated action has an approval step.
Documented by default
You receive the code, the assumptions, the validation results and a run-book.
Our method, on every project
Four steps, in this order, whatever the size of the engagement.
Step 1
Discover
Review sources, business logic, users and acceptance criteria with your team.
Step 2
Build
Develop in version control, with documented assumptions and reviewable changes.
Step 3
Test
Check data quality, reconcile against an agreed baseline, and measure accuracy and uncertainty.
Step 4
Hand over
Deliver code, documentation, test evidence and operating instructions, with a walkthrough.
What we stand for
Scientific rigour
We test claims before we make them.
Integrity
We say what we know, what we don't, and what we will not claim.
Responsible by design
Governance is built in from the first day.
Client outcomes
We measure success in your numbers, not our outputs.
Local talent, global standards
We build African expertise to international benchmarks.
Dr. Daliwa Joseph Bainamndi
Founder and Managing Director
A physicist and data scientist who turns industrial data into decisions you can verify, using physics-informed machine learning and production-grade data engineering.
- PhD in Physics with Distinction, University of Ngaoundéré-Cameroon
- MSc in AI and Data Science, with Distinction, University of Hull (Chevening Scholar)
- Associate Researcher, Laboratoire Ondes et Milieux Complexes (LOMC, UMR CNRS 6294, Université Le Havre Normandie-France)
- Fulbright Scholar , University of Columbia-Missouri, USA
- Co-author, "Physics-Informed Machine Learning for Micro-Perforated Panels: Reproducible Prediction, Uncertainty, and Design Optimization", J. Acoust. Soc. Am. 160, 1001-1010 (2026)
- 2026 Africa AI Policy Fellow; Central Africa Chapter Lead, Africa AI Governance Index
Where we are going
Accelerators
We are turning repeat work into the PhysIQ Migrate, Sentinel, Twin and Assure toolkits.
Certification
We are building security controls aligned with ISO/IEC 27001 and targeting certification in FY2029.
Innovation track
New services for packaging compliance, AI Act evidence, governed copilots and African data protection readiness.
Talent
We are growing PhysIQ Academy into a pipeline of African AI engineers who work to international standards.