Optimize production. Prove compliance. Monetize waste — all on one secure, self‑optimizing platform.
Start Free TrialAI optimizes lines, cuts energy usage by over 22%, reduces waste at source.
See OptimizationTo engineer the global economy into a state of balanced, systemic renewal, establishing the gold standard for resource resilience and zero-waste performance worldwide.
To design, build, and deploy AI-driven, circular engineering systems that embody the principle of resilience, guaranteeing clients unwavering operational performance and achieving continuous, verifiable resource optimization.
Inshira comes from an Arabic word that means opening and expansion. This idea guides everything we build. We exist to open new possibilities for industry and to expand the boundaries of what sustainable manufacturing can achieve.
We believe that true circularity requires both unshakeable resolve and intelligent precision. Inshira is a deep-tech engineering company that designs AI powered, self-optimising industrial systems where every output is engineered to become the highest value input. Our mission is to transform manufacturing into a resilient, regenerative and continuously improving ecosystem.
At Inshira, our name is our operating manual. It is the fusion of governing philosophies of resolve and relentless improvement.
Systems built to guarantee maximum uptime, total resource recapture, and operational resilience against material scarcity.
We embed proprietary AI that ensures a state of continuous improvement, perpetually driving efficiency and optimization.
We apply rigorous engineering to eliminate waste at the conceptual stage, translating complex resource streams into high-purity, next-generation materials.
Our Promise: Performance Without Compromise.
We are a multidisciplinary team of engineers, data scientists, and resource specialists united by the principle of resilience — the resolve to solve the challenges others deem impossible—and guided by exceptional industry leaders.
Expertise: Sustainable Manufacturing, Circular Economy, AI-driven Engineering
Dr. Harris leads Inshira to make manufacturing smarter, cleaner, and more efficient. With a PhD in Sustainable Energy Technologies, he transforms complex systems into high-performance, cost-effective, and energy-efficient operations. His work bridges cutting-edge research and real-world impact, helping industries reduce waste, optimise resources, and innovate sustainably.
Expertise: Sustainable Energy Technologies & Research Leader
Professor Wu heads the Energy and Sustainable Manufacturing group at the University of Hertfordshire. He serves on the boards of the Royal Society, Royal Academy of Engineering, and EPSRC. He guides on integrating next-generation sustainable energy solutions and research-driven strategies for scalable impact.
Expertise: Product Development & Aviation Expert
Puja is a WES Top 50 award-winning engineer and a hands-on product leader. With experience at Rolls-Royce and now heading Product Engineering at Caeli Nova, she supports Inshira with grounded, strategic advice — from building scalable systems to navigating complex engineering challenges as we grow.
Expertise: AI & Applied Machine Learning
Dr. Saed bridges theory and practice—translating AI innovation into scalable, real-world impact. He is currently at Sage AI and former lecturer ML/AI at the University of Oxford. He advises Inshira on optimization and scalability of our engineering deployments.
1. SHIF Framework — Implementing Circular Manufacturing in Heat Sink Development || M. Harris & H. Wu, Journal of Cleaner Production, 2025
2. A synergistic experimental, agile manufacturing, and machine learning approach || M. Harris, H. Babar & H. Wu, International Journal of Heat and Mass Transfer, 2024
3. An integrated approach via design for manufacturing, numerical simulation, and machine learning || M. Harris, H. Wu, A. Angelopoulou, W. Zhang, Z. Hu, Y. Xie, Thermal Science and Engineering Progress, 2024
4. Engine Mass Airflow Sensor Production Optimisation via TQM, TPM, and Machine Learning || M. Harris, Operations Research Forum, 2021
5. Integration of Industry 4.0 and Internet of Things in the Automotive Sectors || M. Harris, M. Ndiaye & P. Farrell, SAE Technical Paper, 2020