Empowering Security: Visionet’s Sentinel Solution Redefines Cyber Resilience

Client  

The client is an American luxury leather goods brand. Originally a men’s supplier of belts, suspenders, and ties, the company now specializes in handbags and small accessories. 

Challenges  

The client was encountering challenges related to unavailability of qualified technical resources and infrastructure tools to monitor ransomware attacks or abnormal behaviour. It was looking for a partner to guide them in implementing a solution for threat visibility and proactive monitoring using a unified portal.   

Revolutionizing Data’s Potential: Visionet’s AI-driven Data Modernization for a Leading Biotech

Visionet's AI-driven Data Modernization transformed a leading biotech's complex data landscape, enabling faster insights and accelerating drug discovery. 

Client  

The client is a prominent biotechnology company with over 35 years of experience in developing life transforming medicines globally. Their expertise lies in conducting ambitious research projects and translating scientific breakthroughs into effective medicines.  

Transforming Medical Aesthetics: Unleashing Data’s Potential through AI-Driven Data Modernization

Visionet's AI-driven Data Modernization platform empowered a US aesthetics leader with insights, time savings, automation, and self-service, fueling informed decisions and growth. 

Client  

The client is a renowned player in the US Medical Aesthetics Sector, specializing in manufacturing advanced devices used in various cosmetic procedures, including laser hair removal, skin treatments, and body sculpting.  

Visionet's AI-Driven Data Warehouse Modernization for a Retailer

Visionet transformed a leading online retailer's data infrastructure with AI-powered solutions, enhancing efficiency, scalability, and decision-making capabilities.

Client 

The client is a prominent retailer renowned for offering an extensive array of tools and accessories.  With years of industry experience, they excel in satisfying a diverse range of customer needs, ranging from general to highly specialized requirements. 

Unleashing Unbounded Scalability: An AI-powered Modern Data Platform Implementation for an Insurance Company

Visionet's AI-powered solution revamped a leading insurer's data platform, boosting efficiency, security, and scalability while delivering cost savings and end-to-end visibility.

Client 

The client is a leading life insurance provider, delivering its services to millions of customers. Their aim is to ensure financial security worldwide through their comprehensive range of offerings. 

Revolutionizing Drug Efficacy Measurement: A Case Study of Visionet's Intelligent Sensor Data Platform

A leading pharmaceutical company faced challenges in streamlining data from multiple sensor devices provided by different manufacturers to measure drug efficacy. Visionet proposed an intelligent sensor data platform that standardized analytical schema, provided an ingestion layer for variety of sensors and an AI framework.  

Challenge

The pharmaceutical company needed to harmonize and join data from multiple sensors to get a bigger picture and measure the impact of a drug on various physical activities.

Fashion’s Cyber Shield: How Visionet Safeguarded an Apparel Empire

Client

The client is a leading global luxury apparel and accessories brand best known for creating elevated yet understated pieces for every day effortless style.

Challenges

In recent years, the client encountered recurring ransomware attacks. They lacked a centralized log management platform and had never subjected their infrastructure to penetration testing. Moreover, due to a shortage of qualified IT personnel, the client couldn’t review security events.

Modernizing its Cloud Data Platform, a Pharmaceutical Company Boosts Data Processing Efficiency by 25%

Client  

The client, headquartered in North America, is a prominent pharmaceutical company.  

Challenges 

The client sought to optimize its pipeline management process and encountered several challenges. These included insufficient data orchestration management, the absence of incident or release management standard operating procedures (SOPs), and a data ecosystem lacking proactive monitoring.  
The client was looking for a partner who could enhance operational governance efficiency and reduce deployment time. 

Transforming Retail Fortunes: How AI-Infused Forecasting Informed Business Strategy for a Retail Chain

Client

The client is a prominent retail player specializing in mattresses and accessories and has over 2,400 stores across the US.

Challenges

The client operated in a highly competitive landscape where accurate forecasting of customer demand, store footfall, and revenue was vital. However, evolving preferences and market trends made accurate predictions challenging, leading to unreliable forecasts. Furthermore, reliance on manual models hindered precision and the implementation of a time-series forecasting model.