Neurealm

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Overview

$10,000+

Min Project Size

1000 - 9999

Employees

1998

Year Founded

ABOUT NEUREALM

AI-First Technology Services Partner

Neurealm (previously known as GS Lab | GAVS) serves as the ideal partner for Engineering, Modernization, and RunOps, effectively combining human intelligence with cutting-edge technology to assist businesses in various sectors, including Healthcare and Technology, in making informed advancements. Our services encompass Digital Platform Engineering, Data, AI, Cybersecurity, and Technology Operations, with delivery centers located in India and the US, supporting over 250 global enterprises. Fueled by an engineering-driven approach and supported by Neurealm Labs—our hub for innovation—we turn concepts into tangible outcomes through modern offerings, solutions, frameworks, and accelerators. Our robust technology collaborations and academic partnerships enhance the future-ready ecosystems we create for our clients. Upholding our core values of Respect, Integrity, Trust, and Empathy (RITE), along with a strong dedication to ESG initiatives, we firmly believe that achieving success and making a positive impact go hand in hand.

Languages Spoken

English

HIGHLIGHTS

$10,000+

Min Project Size

1000 - 9999

Employees

1998

Year Founded

Services

Focus

Industries

Clients

Services Provided

27% Custom Web Application Development

7% Legacy System Modernization

13% Generative AI

5% Robotic Process Automation (RPA)

10% AI Strategy & Roadmap Consulting

5% AI-Powered Document Processing

20% Managed IT Services

13% Cybersecurity Assessments & Hardening

About the Team

OUR STORY

Glenn spearheads our global partnerships and advisory initiatives while leading the emerging AI ecosystem to establish a scalable partner growth engine. An entrepreneur with a history of successful startups, Glenn continues to code and design innovative products. He founded and exited Kudu.co, an enterprise AI sales enablement SaaS partnered with Salesforce, and also established VestaLabs and VMC Consulting. With extensive leadership experience, Glenn has driven growth at companies like Capgemini, HCL Tech, and Amazon, serving in key roles including President at Capgemini and Microsoft Executive Client Partner at HCL. He has cultivated strategic partnerships generating over $3 billion in deals with major tech firms such as Microsoft, AWS, and OpenAI. Glenn holds dual degrees from Carnegie Mellon and pursued graduate

Portfolio

AI/ML Based Analysis for Cancer Patients at Home

**Overview** A healthcare company transforms traditional testing methods to enhance convenience, speed, and efficiency. **About the Client** Our client is a digital healthcare startup focused on the diagnosis and management of chronic diseases. **Challenge** Cancer patients who have undergone chemotherapy must regularly monitor their health through multiple urine tests. These patients or their relatives must submit urine samples to local laboratories for analysis. Our client aimed to create a solution that would eliminate the need for frequent laboratory visits and facilitate a simpler and more efficient urine sample analysis system. The main challenges in developing this solution were: **Solution** We created a system that allows cancer patients to take a photo of the urine test strip and upload it. Utilizing machine learning, the urine analyzer processes key diagnostic parameters and generates an instant report. These reports can be securely shared with the oncologist. We developed the complete product from the ground up, ensuring it is compatible with basic mobile devices to enhance accessibility. Download the case study to learn how we implemented a data science-based approach to urine analysis. [Case Study Link](https://neurealm.com/case-studies/remote-urine-analysis-for-cancer-patients-at-home-using-machine-learning/)

Modernizing a product for better UX

A software company revitalizes its marketing product and enhances scalability by transitioning from an on-premises platform to the cloud. About the Client – Our client develops solutions for Consumer Packaged Goods (CPG) companies, empowering them to increase sales through data-driven insights. Their marketing product enables manufacturers and retailers to leverage historical campaign data to forecast future sales. Challenge – Shopper marketers typically navigate numerous Excel spreadsheets to manage budgets, plan campaigns, analyze results, and refine strategies. Our client aimed to modernize their product to streamline this process and make it more efficient and intelligent. Solution – Using a traditional outside-in approach, UX engineers crafted user stories and outlined the experience for all stakeholders. We developed a customer journey that guided our design and development decisions. Download this case study - https://neurealm.com/case-studies/modernizing-a-shopper-marketing-product-for-better-user-experience-performance/

Harnessing Voice Samples to Diagnose Health Issues

Overview: A pioneering healthcare technology company creates a platform for disease screening and monitoring through voice analysis. About the client: Our client is a prominent start-up in the healthcare technology sector, seeking to leverage a data-driven approach to understand human health. Challenge: Recent advancements in technology have introduced innovative diagnostic methods that utilize biological markers to identify various health issues. The client aimed to create a platform that would assess both mental and physical health using voice samples from patients. Solution: We designed a cutting-edge, data-driven solution that identifies medical conditions through voice as a biomarker. This platform allows users to record brief voice samples, converting them into analytical data. This data trains machine learning models to gain a deeper insight into diseases and health conditions. By developing this comprehensive platform, the client has offered a fresh perspective on screening and early detection methods. Download the case study to learn how we created a data-driven solution for diagnosing health issues. https://neurealm.com/case-studies/harnessing-voice-samples-to-diagnose-health-issues-using-data-science/

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