Letters from the CTO, vol 6

Team offsite, AI, data, and MCP

Team offsite, AI, data, and MCP

Get in touch

Every quarter the whole team meets in a nice location to have deep conversations about our open problems, plan the roadmap for the next few months, and why not, have some fun together. This time it was the turn of Lisbon, hometown of a good chunk of our team. 

For this letter I thought it would be cool if I shared a few highlights about the discussions we’ve been having so you can have a sense of what to expect from us in the coming months.

  • Baselight’s native AI is our main priority in the coming months. Since we released Baselight we’ve identified a common pattern creating friction with many of our users: they need to know SQL to create insights. This is why we decided to implement our MCP server in order to test the hypothesis that Baselight is solving a real problem, but the interaction interface wasn’t the right one. The reception of this feature has been incredible (and we still have it on private beta). This has significantly increased what one can do with Baselight (I have even seen myself using Baselight daily to solve some of my problems since we released this). MCP is just the beginning. We’re building a fully integrated Baselight AI that takes you from idea to insight in minutes and empowers everyone to become a data analyst. No more SQL, no more technical backgrounds.
  • Partners and whitelabel integrations. We’ve been receiving really positive feedback from partners and companies we’ve been chatting with. They love our MCP integration and dashboards, and they have been asking for a way to integrate this seamlessly on their apps, and this is something we can do. So if you want to enable your users to interact with your data using natural language, or you want them to create beautiful insights and dashboards leveraging your data, this is something we can help you with by integrating Baselight seamlessly on your app.
  • On-barding high-quality datasets and improving the performance of our query engine for big datasets. The quality of the insights that can be generated (both by technical users and LLMs) is proportional to the quality of the datasets, and how “analytically friendly” their structure is. This is why we spent some time this week brainstorming ideas on how to improve our datasets and make the query engine more efficient so that searching and creating analysis Baselight’s data catalog works like a charm. These are the kind of changes that may be a bit invisible for users but make a huge difference when using Baselight (hopefully you start experiencing the improvement soon). 

I mentioned above that I was personally starting to use Baselight myself on a daily basis since we released our MCP integration, and here’s an example of how I am using it and why I am so excited with the possibilities of what we are building. But I am not the only one, everyone is the team is also actively using it as you can see from this video recently shared in social media by the Baselight handle:

We are getting close to the open release of our MCP integration, but if you want to become part of the beta testing and get access to it immediately reply to this email and we’ll add you to it.

Finally, let me close this update with a picture of the whole team after our football game. About this game I can only share that there were bets involved, a lot of resentment, and a clear winner after one hour of burning lungs: my team.

A group of eight people posing for a photo on a sports court after a football game, with some wearing yellow vests and holding a soccer ball.

And as always, any feedback, suggestions, or asks, and more than welcome! See you in two weeks.

Alfonso de la Rocha – CTO