White Papers
Evals in Production
Drawing on agentic AI deployments across financial services, life sciences, investment management, and technology sectors.
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This white paper explores the enhancement of microservices quality through the integration of Shift-Left Testing for Microservices with Contract Testing and Service Virtualization. It highlights the importance of early and regular testing within the microservices architecture to address its inherent complexity and dynamic nature effectively.
The paper aims to provide in-depth insights into Shift-Left testing strategies and offer practical guidance for their implementation. The goal is to boost the development of resilient, high-quality microservices, promoting enhanced software reliability and quicker time-to-market.
By embracing these methodologies, organizations can substantially enhance their software quality assurance practices, resulting in improved business outcomes within a competitive digital landscape.
Drawing on agentic AI deployments across financial services, life sciences, investment management, and technology sectors.
Building a Trusted, Conversational Data Layer for Financial Services Financial services companies rely on data to operate. Things like credit ratings are based on data and market intelligence is built using data. The systems that support these things need to be easy to see, secure and well managed. But the information needed to manage all […]
AI Practitioner’s Guide to Building Production-Ready LLM Applicationss Most enterprise LLM projects stall between pilot and production. The difference is rarely the model, it is the architecture. This guide synthesizes what we have learned across 35+ enterprise implementations, organized into seven application patterns we have repeatedly delivered. The focus is on the decisions that determined […]
