Models that obey your process physics, and tell you how sure they are.
- Predict failures before they stop the line
- Find the settings that cut scrap, energy and rework
- Every forecast comes with a stated uncertainty range
Decisions you can verify, built on physics and clean data.
We model your process with the laws of physics and your own data, then show how certain each forecast is. You get less waste, less downtime and fewer surprises, with documentation your auditors can read.
- Peer-reviewed methods (JASA, 2026)
- Fixed-price pilots
- Your data stays in your systems
- English and French
Most AI projects fail on the data, not the maths.
AI pilots usually stall for ordinary reasons: the data is not ready, the model cannot explain its output, and nobody owns it once the pilot ends. We deal with those problems first, before any modelling starts.
Measure
We audit your data, fix its foundations and agree the few numbers that matter.
Model
We build forecasts that respect the physics of your process, such as heat, moisture, wear and flow, and we state how certain each one is.
Deliver
We put the work into your systems and train your people. Everything is documented, so your team can run it without us.
What we do
Six services, one standard: every result is tested, documented and handed over to your team.
A clean, tested data layer that survives your ERP change.
- SAP-to-Snowflake mapping and dbt models
- Automated data-quality and reconciliation tests
- Pipelines run by Airflow, deployed through Azure DevOps
One definition of every KPI, from shop floor to board.
- Agreed KPI definitions, written down
- Factory and management dashboards in Power BI, Tableau or Qlik Sense
- Numbers that match the source systems
Scoped prototypes that reach production, with people in control.
- Document assistants that answer from your manuals and cite the page
- Integration with the systems you already run
- Human review built into every workflow
Responsible AI you can defend to regulators, boards and citizens.
- AI strategies, risk and conformity assessments
- Data protection compliance and responsible-AI policies
- Evidence studies and MERL systems
Build the team that runs it after we leave.
- Cohort training in data, AI and digital skills
- Team upskilling tied to your own projects
- Delivered in English or French
PhysIQ accelerators. Reusable kits that make every project faster and safer. Migrate, Sentinel, Twin and Assure are in development.
New services for the 2026 to 2028 deadlines
New rules and new technology are changing what industry and institutions must prove. These services are open to early partners, and we shape each one with the first organisations that join.
Turn the new EU packaging rules into data you already hold.
The EU Packaging and Packaging Waste Regulation (PPWR) has applied since 12 August 2026.
- Compliance data per SKU, traceable to ERP
- EPR reporting and batch traceability
- Physics-informed minimisation modelling
Test results and documents that prove your AI is accurate and robust.
EU AI Act high-risk obligations apply from 2 December 2027 and 2 August 2028.
- AI system inventory and classification
- Accuracy, robustness and uncertainty tests
- Technical documentation and gap plan
Maintenance assistants that cite their sources, show their confidence and ask before they act.
About 3 in 4 firms plan agentic AI within two years; only about 1 in 5 has a mature governance model (Deloitte, 2026).
- Grounded in your CMMS, sensors and manuals
- Every answer cited, every prediction ranged
- A named person approves every action
Be compliant and ready before regulators ask, in English or French.
The transition period of Cameroon's Law No. 2024/017 on personal data protection ended in mid-2026.
- Records of processing and impact assessments
- Cross-border transfer files
- AI-use register and responsible-AI policy
Why this matters now
- US$1.4tn
- a year: the cost of unplanned downtime for the world's 500 largest companies, equal to 11% of their revenue.
- Source: Siemens, 2024
- 31 Dec 2027
- Mainstream maintenance ends for SAP ECC 6 (EHP 6 to 8). 54% of SAP user firms in the DACH region still run ECC.
- Source: DSAG, 2026
- 44
- African countries now have data protection laws, and enforcement began to bite in 2025.
- Source: Digital Policy Alert, 2026
What you can check today
We are a new company, so we show no client logos we have not earned. These are the facts behind our work, and each one can be verified.
Dr Daliwa Joseph Bainamndi
Founder and Managing Director
- PhD in Physics, University of Ngaoundéré
- MSc 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)
- Fulbright Visiting Researcher, University of Missouri
Peer-reviewed research
Physics-informed models, calibrated uncertainty and design optimisation, published in the Journal of the Acoustical Society of America (2026). We bring the same toolkit to your process.
Read the paperFixed-price pilots
4 to 8 weeks, from €15,000 to €40,000, with a written scope, agreed success measures and a go or no-go decision at the end.
Your data stays in your systems
We work inside your environment under your access controls. Every model has a named owner and full documentation. Our security controls follow ISO/IEC 27001, with certification planned for FY2029.
Results from our first pilots will appear here, with client permission and the method used to measure them.
Bring us one decision you want to get right.
In a 30-minute call we will tell you whether your data can support it, what a pilot would cost and how we would measure success. There is no obligation.