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United Kingdom
< $10m
51 - 200
Open website
Peak offers a Decision Intelligence platform that doesn’t just deliver models, it delivers results. It is a single platform that can help you rapidly deploy multiple AI-powered solutions on a single platform. It takes you all the way from siloed data and systems, to putting AI in the hands of commercial decision makers. It is built to empower you to make superhuman decisions, all the time.
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AI is powering modern manufacturing
Forward-thinking manufacturers are leveraging data with AI to drive success.

What can it do for manufacturers?
Peak’s pioneering approach to AI for manufacturing is focused on delivering tangible outcomes for your business.

- Predict demand
Improve your forecasting to predict demand with a higher degree of accuracy

- Optimize inventories
Reduce the amount of stock and raw materials you hold to save cash, whilst still fulfilling demand

- Reduce wastage
Increase efficiency by reducing unnecessary wastage and positively impacting your carbon footprint

- Connect business systems
Gain a unified, end-to-end view of your entire business, leveraging data from across the value chain

- Enhance existing infrastructure
Peak’s AI System is a “layer of intelligence” sitting over your existing systems, so there’s no need to rip and replace
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Peak is a provider of Industrial IoT platform as a service (paas), application infrastructure and middleware, and analytics and modeling technologies, and also active in the construction and infrastructure, consumer goods, and retail industries.
Analytics & Modeling
Machine Learning
Predictive Analytics
Big Data Analytics
Platform as a Service (PaaS)
Data Management Platforms
Application Infrastructure & Middleware
Database Management & Storage
Use Cases
Process Control & Optimization
Business Operation
Discrete Manufacturing
Logistics & Transportation
Warehouse & Inventory Management
Construction & Infrastructure
Consumer Goods
Cloud Planning, Design & Implementation Services
Peak’s Technology Stack maps Peak’s participation in the platform as a service (paas), application infrastructure and middleware, and analytics and modeling IoT technology stack.
  • Application Layer
  • Functional Applications
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
  • Devices Layer
  • Robots
  • Supporting Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capability
Number of Case Studies3
Creating an Unrivaled Customer Experience with AI: A Case Study on Eurocell
Eurocell, the UK’s leading manufacturer, distributor, and recycler of UPVC window, door, conservatory, and roofline systems, faced a challenge in harnessing their vast amounts of data to provide customers with an unrivaled customer experience. They aimed to fully personalize every single customer touchpoint, improving their understanding of their customers and how they communicate with them through their digital channels and branch teams. This need intensified during the COVID-19 pandemic as their e-commerce sales rapidly increased. They recognized that artificial intelligence (AI) could empower them to deliver on their strategic goal, but needed help distinguishing between their diverse customer-base in their SAP data, and understanding how their data could be used to create AI models.
Transforming Inventory Management with AI: A Case Study on Speedy Hire plc
Speedy Hire plc, a FTSE-listed equipment rental and support services provider, faced a significant challenge in managing its complex network of 3,500 products across 200 depots in the UK. The company's commitment to excellent customer service meant always having the right products available whenever and wherever customers needed them. This was a complex task due to the variety of products, from simple cut-off saws to lighting towers, and the need to forecast not just one-off sales but also the likely duration of hire and expected product condition on return. Furthermore, Speedy had committed itself to a four-hour delivery and collection promise, adding another layer of complexity to its operations.
Driving Sales Growth with AI: A Case Study on Regit
Regit, formerly known as, is the UK’s leading online service for drivers. The company faced a significant challenge in predicting which of their 2.5 million users were likely to change their vehicle and when. This information was crucial for the company to serve their customers in a more personalized and targeted way. The company operates by generating leads for companies in the automotive industry by providing a platform for people to book test drives, buy and sell cars, and request brochures, among other services. However, they were unable to predict which of their users were likely to change their vehicle, or even know who had changed their vehicle until after it had happened. This lack of predictive capability was a significant barrier to increasing their call center revenues.
Number of Similar Suppliers5
Senseye is the leading cloud-based software for Predictive Maintenance. It helps manufacturers avoid downtime and save money by automatically forecasting machine failure without the need for expert manual analysis. Its intelligent machine-learning algorithms allow it to be used on any machine from any manufacturer, taking information from existing Industrial IoT sensors and platforms to automatically diagnose failures and provide the remaining useful life of machinery.
Noodle Analytics
Noodle Analytics offers pioneering business solutions in Enterprise Artificial Intelligence, a unique collaboration among business executives, process experts, and Artificial Intelligence technologies (e.g., Machine Learning, predictive data analytics, data science). The company creates and implements these solutions to solve complex business challenges and drive dramatic improvements in customer, product, and enterprise operations.
Teksun Inc 
Teksun Inc 
Teksun Inc provides complete, end-to-end product development services, guiding you through the entire product development process from concept through commercialization, Teksun’s niche expertise of 100% in-house design and development includes IoT, AI/ML, Embedded Hardware, Firmware, Cloud Architecture, & Big Data products.Teksun develops highly innovative products and services which support the ongoing digitization of your enterprise mission.
Industrial data platformThe ConnectedThinks Industrial data platform is capable of connecting to multiple industrial data sources, correlating and transforming the data into useful insights, and helping improve the efficiency of your industrial business.Edge ConnectorsThe edge-connectors suite is a middleware deployable on ARM or X86-based Industrial edge IoT gateways. It enables quick connection and rapid onboarding of various assets such as machinery, sensors, asset trackers, Bluetooth beacons, and IP Video streams as well as OT assets such as PLC, SCADA, CNC, and HMI – to name a few. It offers secure device management and remote connection. Data PlatformThe ConnectedThinks data platform is a modern technology stack, built-to-scale to ingest and process high-speed, high-density, and real-time industrial data. Its functionality could be split into 3 primary parts – the data-ingest, the data-transform-&-store, and the data-query part.The data-ingest part consists of a high-performant MQTT broker and a highly-scalable, multi-cluster Kafka messaging queue which together can ingest and process data at a very high speed.The data-transform-&-storage part is built on top of Kafka KSQLdb and Apache Spark with real-time data transformation and the ability to integrate real-time machine-learning predictions for Anomaly Detection and other Predictive Maintenance tasks. The platform offers out-of-the-box connectors to store data on almost any database, data warehouse, or even into S3-storage compatible Data Lakes with efficient storage formats like PARQUET and AVRO.The data-query part consists of multiple custom-built connectors to various SQL and pseudo-SQL databases and storages along with highly-scalable PRESTO (a.k.a prestodb)Together it forms a complete Industry 4.0 offering for data intelligence and integration. The entire offering is built with Microservices and dockerized to make it suitable for deployment on-prem, private-cloud, or Public Cloud like AWS, Azure, or Google. Data visualization & BIConnectedThinks platform offers a custom-built visualization engine, built from the ground up to serve the specific requirements of industrial operations which demand a combination of real-time diagnostic monitoring for high-speed data, a SCADA-like monitoring system with visual aids and historical data analytics with data ranging from a few weeks to couple years. It is built on top of front-end REACT-js libraries along with Authentication and fine-grain access Authorization to deliver a secure web portal that is accessible from any corner of the world. The platform is also pre-integrated with Apache Superset and offers embedded dashboards as well as quick drag-and-drop data exploration. The prestodb query engine ODBC connectors enable you to import and explore data from your existing BI solutions such as Tableau, Looker, PowerBI, etc,
Autosys Industrial Solutions Private Limited
Autosys Industrial Solutions Private Limited
Industrial data analytics and decision science by comprehensive monitoring and management of an industrial shop floor.Autosys Industrial Solutions Pvt. Ltd. was incorporated on February 17th, 2016. A company with expertise on industrial automation and industrial data management. Our solution improves the efficiency, productivity and overall equipment effecitveness while minimizing the cost and environmental impact. Our technologies are used by clients in plants and facilities around the world, giving them a competitive edge by accelerating their processes, improving accuracy, saving time, cutting waste and boosting their safety and sustainability performanceDiscovering an industrial revolution with endless possibilities.
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