Agility and resilience in Manufacturing, powered by AI.
Today’s manufacturers face complex challenges, from mitigating higher transport costs to managing supply chain disruption. Aiimi is a British digital, data, and AI engineering company, building products and services that drive transformation in data-rich manufacturing environments, including engineering, automotive, and defence manufacture.
Applying cutting-edge tech in Manufacturing.
Our tools and expertise align to the industry’s key priorities, from Export Control and R&D, to Health & Safety and ESG.
Enable data collection and reporting for ESG, to inform solutions and improvements. For example, predicting supply variation.
Deliver improved service, from customer satisfaction and responsiveness, to predicting risk of vulnerability. Centralise knowledge from skilled workforce to reduce downtime.
Use data and AI to manage and extend asset lifecycles and align with regulatory targets, through predictive maintenance, increased uptime, and informed investment in infrastructure.
Use AI to speed up diagnosis and fixing of faults during production. Get products to market faster, meet customer demand, and enhance productivity.
Leverage real-time data discovery and knowledge management to make better design and production decisions and enhance R&D processes.
Use ML and AI to better discover, manage, and govern data. Leverage lessons learned, make sense of legacy architecture, and optimise intelligent workflows through automation.
Manage Intellectual Property and sensitive data flow. Automatically classify information that contains export-controlled data.
Use document control registers to find usable insight from document packs containing key asset or product information, such as O&M Manuals.
Use data analytics to manage risk in supply chain; gather intel on potential disruptions and use predictive insights to mitigate those risks.
Aiimi has provided invaluable input to support the development of numerous software tools that enable us to transform how certain business tasks are performed, particularly in manufacturing.
Tech-enabled transformation in Manufacturing.
Get control over data, adopt AI at scale, and deliver unrivalled digital experiences to optimise complex products, processes, and supply chains.
Expertise & Strategy in digital, data, and AI.
Our multidisciplinary, agile teams develop end-to-end products and solutions, including AI strategy, data management, data science, and digital service design.
Knowledge Management with the AI-powered Insight Engine.
Make data accessible to your people, modernise data architecture, safely operationalise AI, and migrate legacy systems to the cloud. Interconnect all enterprise data, both structured and unstructured, to find information up to 75% more efficiently and make faster, better-informed decisions that save time and money.
Enterprise AI solutions.
Use AI to get products to market faster and meet customer demand, from using AI to identify production faults, to automating recommendations from technical documentation. Our AI solutions are underpinned by secure data and finetuned to work with the complexity of your business.
Automated data governance, privacy & compliance.
Tackle complex data landscapes, regulatory compliance, and threats to data security, by maximising the use of AI technologies help resolve (and rely on) data quality and governance.
Case Studies: Discover how we use digital, data, and AI to accelerate success in Manufacturing.
Our customer is a heavy industry manufacturer that needed to reduce the time taken to resolve product issues, in order to improve customer service and drive efficiency in production. It has a wealth of technical product knowledge buried in unstructured data sources, including manuals and service logs. The Aiimi Insight Engine enables the organisation to streamline fault resolution, using AI and machine learning techniques for natural language processing and automated extraction of key entities. It enriches and classifies its unstructured data, turning it into usable content. Users can ask natural language questions using Generative AI, to help reduce time to resolution and lessen the reliance on specific engineers’ knowledge. By embracing cutting-edge AI technology, the manufacturer is enabling faster and more accurate responses to issues raised by customers. These measures are designed to improve efficiency, reduce risk of knowledge loss, increase knowledge sharing, and avoid lost revenue from machines being out of operation.
Our manufacturing customer’s global supply chain is vulnerable to public order disturbances, military action, natural disasters, and disease outbreaks. Its global network is a diverse mix of materials suppliers, manufacturing locations, transport links, and ports. Our customer wanted to gain early insight into developing situations in proximity to its locations. The Aiimi Insight Engine uses public and subscription news feeds and social media to gather intelligence from around the world on events that could impact the organisation’s supply chain, including raw materials, transit routes, factory locations, and key buyers. Sentiment-driven risk management dashboards showing positive/negative heat maps for supply chains and key locations ensure the company is now fully aware of developing threats and can more effectively support its staff in affected locations. They can also implement alternative supply routes or seek new suppliers when needed to satisfy demand.
This customer’s engineering workforce had grown rapidly to 40,000 employees across several sites. Time to market for new products was impacted by an inability to use existing design information to shorten new design cycles, identify relevant subject matter experts, and evidence design decisions during market approval processes. We implemented the Aiimi Insight Engine to discover and index the entire corpus of design information across file shares and Google Drive. 400 million documents and drawings were labelled with the names of their subject engineers, products, subsystems, and parts, which enabled the customer to build a comprehensive knowledge network of all design information. The solution allows an engineer or quality analyst to select a component or system that they are working on and to be presented with a relationship map of subject matter experts, existing design documentation and equivalent platform architecture components. This is used to shorten design and quality control (time to market) by up to two months for a typical new product.
Our customer creates defence related equipment that is restricted (along with its documentation) from export to other organisations or geographies. When the organisation outsourced a large department that relied on a repository of over 200,000 poorly catalogued documents, they were faced with having to manually review each document individually to ensure that it was not export controlled, prior to releasing it. The Aiimi Insight Engine was implemented in around six weeks and configured with a taxonomy of terms and parts specific to the operation of our client. This was used to determine if documents contained restricted information by applying a probability factor to each document. The probabilities ranged from ‘not export controlled’, through ‘possibly export controlled’ to ‘export controlled’. 75% of the documents were automatically classified with high certainty and either immediately released or withheld. The remaining 25% were manually reviewed using the Aiimi Insight Engine to open the document and highlight interesting language within it. Review time was cut from 35 minutes to just five minutes for each remaining document. Overall, this saved the equivalent of more than 50 FTE years of effort.
Our technology partners.
Talk to us about digital, data, and AI.
Whether you’d like to get more detail on our services, see our AI-powered tools in action, or hear more about our consultants’ credentials, we’d love to have a chat. Just use the form to get in touch – or pop into Aiimi HQ to say hello and see what we’re all about.