Training, data quality, connectivity analysis, and full AI capability
Everyone is talking about AI — Relavise helps separate what you can do from what is practical and worthwhile.
Everyone is talking about AI, and for good reason. The challenge as we see it is to separate what you can do from what is practical and worthwhile. Anything is possible — but what will have the biggest impact on your business? Relavise helps uncover the most expensive challenges, best competitive opportunities, and greatest potential for efficiency, so you can make well-informed decisions.
The Mission
The goal should always be to leverage the advantages of AI tools such as Claude, Gemini or ChatGPT without exposing your proprietary data to the universe. You can benefit from the equivalent of hundreds of data analysts and engineers, but the results will only be as good as your source data allows. Data needs to be connected, organized and clean. In addition, teams need to understand what AI means to them and their tasks — what can be used safely and how to use it.
Our Solution
Relavise works with organizations to educate and train, as well as implement VibeFoundry. Everything begins with a knowledge audit that informs training sessions including: Basics of AI (out-of-the-box solutions, confidentiality and limitations, overview of large language models, how to write a prompt); Foundational knowledge and data science insights (building a bespoke AI agent, AI and machine learning, training and testing a platform, ensemble LLMs, RAG apps, measuring success); and a deep dive into your data including reviewing data sources, your ERD and quality.
What Happens Next
Once you know what pains can be addressed, associated costs, and potential paths, companies can focus on key market differentiators that will be worth the time and effort. The first steps are an educated team with the knowledge to utilize AI properly and safely and ensuring clean and organized data — unlocking the power of your data while keeping information out of unauthorized hands.
Ready to build real AI capability?
Let's talk about where your data and your team are today — and what's possible.