Enterprise Client | 2026 โ Present Key Technologies: AI Engineering, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Document Intelligence, Prompt Engineering, .NET, C#, React, Microsoft Azure, Azure Logic Apps, Azure Cosmos DB Overview: Keyhole Software partnered with an enterprise client to develop an AI-powered document intelligence and regulatory compliance platform for organizations operating in highly regulated industries. Built using .NET, …
Client Industry: Cloud Computing & Managed Hosting Engagement Type: Cloud Platform Integration, Serverless Architecture Technologies: AWS (Lambda, Step Functions), Azure, Python, Node.js, AngularJS, Serverless Framework A Keyhole consultant supported a cloud computing and managed hosting provider as part of a small, agile delivery team responsible for integrating internal services with a multi-cloud management platform. The platform abstracted multiple cloud providersโincluding …
Keyhole Software’s expert software consultants played a crucial role in enhancing a sophisticated security scanning system for mobile applications, aiming to boost performance and stability for seamless developer interactions. The system, designed for both Android and iPhone apps, conducted synchronous and asynchronous security scanning through distributed Node.js services orchestrated by a Java Spring backend. The project involved intricate integrations with …
Client: Leading mobile security company that publishes mobile app and device security software that is recognized by IDC, Gartner, Deloitte Fast 500, and TAG Cyber and based in Chicago. Project Overview Keyhole Software Consultants embedded as key software development team members enhancing a complex system that performed security scanning for mobile applications. The overall project goal was to improve performance …
A solo Senior Keyhole Consultant was brought on to assist the client in updating and streamlining their suite of Kubernetes applications. Overall, the clientโs goal was to update their current processes and flows to make releasing their applications to Kubernetes easier and more efficient.