We help SME manufacturers stay profitable while navigating decarbonisation — by giving them one integrated view of energy, materials, and compliance.
Start Free TrialImprove line performance and energy efficiency with process-level visibility — reducing cost and material loss without disrupting throughput.
See OptimizationEnable circular economy decisions at the factory level — turning by-products, scrap, and residual streams into reusable inputs and verified value streams.
Explore ProfitA specialised compliance and traceability module built on Inshira’s core platform — supporting halal certification and DPP-style evidence outputs for global markets.
See ComplianceTo help SME manufacturers build resilience and reduce emissions through practical, circular manufacturing — where performance, circularity, and compliance reinforce each other.
To enable profitable decarbonisation by integrating energy efficiency, circular material flows, and compliance readiness into one decision platform for manufacturing teams.
Inshira comes from an Arabic word that means opening and expansion. This idea guides everything we build — opening practical pathways for industry and expanding what sustainable manufacturing can achieve.
We believe circularity becomes real when it is operational: when energy, materials, and waste are understood at the process level, and when by-products are engineered back into value. Inshira builds AI-enabled decision systems that help manufacturers reduce loss, recover value, and improve continuously.
At Inshira, our name is our operating manual — resolve, clarity, and relentless improvement in service of resilient and circular manufacturing.
Systems designed to improve operational continuity, reduce losses, and strengthen resilience under real-world constraints.
We embed AI-enabled insight to support ongoing optimisation — not one-off reporting — so performance improves over time.
Engineering decisions that prioritise material efficiency, reuse, and recovery — turning complex resource streams into practical circular economy pathways.
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
Common questions from SME manufacturers