Femi Arowosafe
Founder
Maintenance AI implementation, reliability strategy and product delivery.
MSc Software Engineering, BEng Electrical & Electronics Engineering
ABOUT NEXTGENMAINT
Practical AI for maintenance data and reliability work.
NextGenMaint is a founder-led product initiative focused on helping asset-intensive teams improve maintenance data quality, surface waste candidates and support human-reviewed maintenance decisions.
Why it exists
Why it exists
Maintenance waste often sits across material records, PM task lists, BOMs, work orders and strategy documents. NextGenMaint is being built to make those review areas easier to find, inspect and validate with the people who own the decisions.
TEAM
Practical experience behind the product.
Hands-on experience across maintenance, AI implementation, research and software delivery, focused on tools that fit real maintenance data and reliability workflows.
Mo Oyedeji, PhD
Innovation & Research Advisor
Product framing, R&D thinking and technical storytelling.
PhD Systems & Control Engineering
David Oladeji
Technical Delivery Advisor
Software architecture, product build planning and scalable delivery.
MSc Computer Science
Principles
Principles
01
Baseline before recommendations.
02
Human review before action.
03
Governance before scale.
Have a maintenance data quality or waste review problem worth testing?
Share a focused problem, dataset or workflow worth testing.