Research and AI advisory for better business decisions.
Lexora Labs helps organizations evaluate market opportunities and make AI useful in everyday work. We combine market research, information-science expertise, and practical analysis to help you decide where to invest, what to change, and how to assess results.
Meet Charles Costa, MLIS
Lexora Labs is led by Charles Costa, a content strategist, information professional, and published researcher. Clients work directly with Charles to connect research with the realities of day-to-day work.
At eBay, Charles’s experience spans customer service technology, content strategy, and complex cross-functional initiatives. His work has included regulatory content programs, knowledge architecture, analytics, and AI tools that help content teams apply standards consistently. On the Payments Product Marketing team, he contributed content strategy and execution to the migration of more than 18 million sellers to managed payments.
Charles holds a master’s degree in library and information science from San José State University. He co-authored “Empowering customer service with generative AI: enhancing agent performance while navigating challenges,” published in Information Research in 2025.
Evidence you can put to work
Good research starts with the decision you need to make. We examine relevant market, competitor, customer, and industry evidence, assess the quality of the sources, and explain what the findings mean for your options. We make assumptions, uncertainties, and research limitations clear.
Our AI advisory applies the same approach to how your organization works. We assess use cases, knowledge sources, workflows, and review responsibilities to identify where AI can help and where human judgment remains essential. Recommendations connect practical changes with ways to assess progress.
Start with a focused question
An engagement might explore a new market, compare competitors, investigate customer needs, or assess an AI use case. Our market research and AI advisory services turn a defined question into documented findings and practical recommendations.
For teams already using AI, a focused workflow review can identify causes of inconsistent answers, excessive checking, and rework. Further support can include knowledge and workflow design or team training. Each engagement starts with an agreed scope and a clear definition of what you will receive.
