MANAGED CLOUD SERVICES
CloudCore

INTRODUCTION
CloudCore is one of the most innovative, secure and high-performance public cloud platforms available. Migrating to CloudCore gives your organization the power to accelerate its data journey by offering access to Calligo’s wider data services.
Calligo’s CloudCore platform is a highly secure and innovative public cloud platform that offers data privacy and sovereignty at its core. It is twice as fast as AWS and Google for machine learning workloads and is certified SOC 2 type 2. CloudCore offers scalability, availability, security, ease of management, innovation, and cost efficiency, while also restricting data movement outside nominated territories.
Our global data centre network spans six jurisdictions across nine locations, making it an ideal solution for those with local data residency requirements. Additionally, we offer security and compliance accreditations to ensure compliance with international standards in security, availability, and quality management. It is a suitable option for those looking for a multi, or hybrid cloud strategy alongside Microsoft Azure and other cloud providers including VMWare.
An award-winning and forward-thinking, managed, public cloud platform
Calligo is certified compliant with international standards in security, availability and quality management, and is aligned with standards for processing personal data.
We also maintain SOC 2 type 2 continuous service accreditations that allow us to serve specific local markets, including a history of being annually accepted onto the UK Government’s G-Cloud procurement framework, compliance with Cyber Essentials, a UK government security standard, and a longstanding accreditation with the Luxembourg financial services regulator, the CSSF, as a Professionel du Secteur Financier (PSF).
CloudCore has a global data centre network that covers 9 locations in 6 different jurisdictions. The selection of these jurisdictions is based on supporting clients’ data privacy, resilience, regulatory and latency requirements. CloudCore’s regions are not served locally by major cloud service providers, making it an ideal solution for those who require local data residency, especially as part of a hybrid strategy alongside Microsoft Azure and other providers.
Our cloud backup solution, built on CloudCore, offers automatic and scalable data backup to any data centre in their global network. They have simple pricing models and expert data restoration specialists, and their service supports industry regulatory requirements and data privacy obligations. The backup solution can be deployed alongside CloudCore or any third-party cloud or on-premise resources, with the cost of invocation resources included in monthly fees. Clients can set their own recovery point and time objectives, and retention and purging rules, to ensure compliance with industry regulations or internal policies.
Why our clients choose CloudCore
USE CASES
How Calligo has helped businesses
Calligo provides data-driven solutions to optimize manufacturing operations. Services include demand forecasting, inventory and logistics optimization, predictive maintenance, and supplier degradation analysis. Calligo integrates macro-economic shock models with company-specific data to help manufacturers make better decisions during unexpected economic shocks.
Calligo uses predictive models and time-series analysis to forecast demand and reduce inventory costs. The company also employs predictive models and survival analysis to help manufacturers reduce the risk of unplanned downtime by predicting when and how their machines will fail.
Retailers use demand forecasting with region-specific features to optimize product selection, increase sales, and reduce inventory losses. Calligo’s solutions use safe-harbor data anonymization methods to extract maximal value from customer data while maintaining privacy and avoiding legal risks.
Customer segmentation helps retailers market more effectively, improve product selection, lower risks, and understand expansion opportunities. Calligo’s machine learning solutions use customer data, external data, and domain expertise to create valuable customer groupings that inform various business areas.
Calligo provides data solutions to optimize various aspects of healthcare operations. Its services include improving the STAR rating of healthcare providers through prescriptive solutions, using predictive models and time-series analysis to prepare for a health crisis, optimizing staff scheduling to reduce labor costs while meeting patient needs, and minimizing inpatient surgical costs while maximizing revenue. Calligo also offers solutions to improve supply chain logistics to reduce the risk of inadequate supplies and reduce patient wait time through predictive models and optimization.
Moreover, Calligo offers solutions to reduce readmission rates and improve ER admittance, which can increase revenue in shared-cost models and improve the STAR rating. These services rely on predictive models, Monte-Carlo simulations, and machine learning models to analyze data and provide actionable insights to healthcare providers. With Calligo’s advanced data solutions, healthcare providers can make informed decisions to improve patient care, reduce costs, and optimize their operations for better outcomes.
Calligo provides transportation and logistics solutions that use predictive models, time-series analysis, Monte-Carlo simulations, and optimization to solve complex problems such as price optimization, cost predictions, and mileage optimization. These solutions help businesses maximize profit margin and reduce costs related to fuel, labor, and maintenance.
By utilizing machine learning algorithms, Calligo provides data-driven decisions that consider fuel costs, labor costs, shipping demand, and the availability of other opportunities. Predictive models and optimization are also used to minimize mileage driven and maximize profitability per truckload through mileage optimization and opportunistic loading.
Calligo provides data-driven solutions to optimize different aspects of telecom operations such as call center staff scheduling, market penetration analysis, store location optimization, service interruption detection, and customer segmentation. The use of predictive models and optimization leads to reduced costs, increased revenue, and higher customer satisfaction.
By leveraging machine learning solutions, Calligo can efficiently meet customer needs and optimize labor as call center needs change. Understanding market penetration using predictive models and time-series analysis helps identify high-potential markets that yield the best return on investment.
Calligo is a data science company that helps non-profit organizations improve their decision-making process. They use predictive models, time-series analysis, and economic modeling to forecast the value of investments and marketing impact. Their machine learning solutions use data from new markets, employee and resource data, to predict outcomes, helping organizations choose the most advantageous new markets to pursue.
Calligo also uses predictive modeling to determine the best targets for fundraising efforts, to allocate labor efficiently, and to find the most efficient routes and methods for product shipping. Finally, they use optimization, predictive models, anomaly detection, and collaborative filtering to match service providers with service recipients, reducing risk, and increasing the number of services rendered.
Calligo provides machine learning solutions for the financial industry, including fraud detection, automated data extraction, customer segmentation, risk assessment, and product recommendations. Fraud detection uses clustering, anomaly detection, and time-series analysis, while OCR algorithms facilitate automated data entry. Customer segmentation uses clustering and collaborative filtering.
Risk assessment and underwriting involve predictive models and time-series analysis, while Calligo helps capture the best return on marketing investments using predictive models, A/B testing, and customer segmentation. Predictive models, collaborative filtering, and time-series analysis are also used to generate additional revenue through product recommendations and execute targeted marketing for reduced costs and increased revenue.
Calligo identified our requirements and put together a package that met our needs. We were also impressed by the relationship; this is not just a commercial relationship – we wanted a strategic partner and a trusted advisor to work really closely with our team to give us resilience and security.
Jon Buckland
Chief Executive, The Medical Specialist Group
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