Case Studies

Client A digital marketing organization delivering SaaS-based solutions to its customers. Challenge The company faced three critical data infrastructure challenges that were impacting their operational efficiency […]

Client One of the premier electrical contractors in the United States utilizes QuickBase applications for core business operations, managing structured data across multiple departments, including employee […]

Client A leading home care services provider specializing in personalized care solutions for clients requiring assistance with daily living activities and medical support services. Challenge The […]

Client A leading payment processing company that provides a complete suite of solutions for Automated Clearing House and Card payments processing, verification, and recovery. The company […]

Client A company transitioning from on-premise deployments to cloud-based solutions on AWS. The client needed to establish a structured, manageable multi-account cloud environment to support new […]

Client A real estate platform provider that connects industry professionals, offering tools and resources for efficient property transactions with a focus on enhancing transparency, trust, and […]

Client A real estate platform provider that connects industry professionals, offering tools and resources for efficient property transactions with a focus on enhancing transparency, trust, and […]

Client A technology company specializing in dash cam solutions and fleet management systems, launching their new dash cam product line. Challenge The client’s existing architecture faced […]

As the workforces are expanding the recruitment industry is going through significant changes. The latest advancements in Generative AI has the potential to transform this industry. […]

Biotech Organization | 50 Employees Machine learning approaches for protein structure prediction, one of the most fundamental problems in bioinformatics and structural biology. Modelling proteins at […]

The client operated their P2R healthcare platform entirely in a private cloud environment with strict security requirements including encrypted data storage, no direct internet access, and HIPAA and SOC compliance controls. They needed to assess and analyze the feasibility of integrating generative AI capabilities while maintaining healthcare compliance standards. The challenge involved understanding current data storage and processing architectures, analyzing requirements for securely transferring huge gigabytes of protected health information (PHI) from private cloud to AWS for training a 70B parameter Large Language Model (LLM), and developing comprehensive recommendations for both temporary training infrastructure and permanent inference capabilities while ensuring continuous HIPAA and SOC compliance.