Fabi.ai 2025 Roundup: Building momentum into 2026

​​We started with a simple vision: getting insights from your data should feel as natural as asking a colleague a question. No waiting on engineering tickets. No SQL knowledge required. Just you, your data, and AI that understands what you need.

In 2025, we proved this wasn't just possible, but what teams have been waiting for.

Fabi’s general availability marked the starting line and your feedback shaped every feature we built:

What you told us you needed:

• Control over AI behavior and model selection

• Confidence to experiment without breaking things

• Ways to share insights across teams

• Integration with tools you already use

• Speed without sacrificing accuracy

What we built:

• AI Analyst Agent that learns your business context

• 100+ database and data source connectors

• Features for technical teams: Typeahead, GitHub integration

• Enterprise-grade collaboration features

• MCP server for chat-based data access anywhere

The numbers tell the story: 92% faster analysis at companies like Aisle. Hours of manual work eliminated. Non-technical teams answering their own data questions.

📊 2025 by the numbers

Everything we do is for you, our users. By signing up for Fabi you’ve decided to join thousands of other teams looking for a better way to analyze their data. We wanted to share some fun numbers with you:

That’s a whole lot of insights delivered! As for how much AI you all have used, for Claude alone: 

Ultimately, the best proof that we’re on to something real is what our users have to say:

🤖 AI Analyst Agent: Built for accuracy at scale

We built our AI Analyst Agent from the ground up using an agentic framework with tool calling. The result? Analysis that's 10X more accurate and contextually aware.

Our technological breakthrough:

Business context that sticks: Teach the agent your terminology and data conventions once. Set org-wide context so everyone gets consistent, accurate answers.

Tool calling for precision: The AI queries multiple sources, validates its own work, and handles multi-step analysis without breaking a sweat.

Save and share your work: Ask questions in plain English, refine through dialogue, build dashboards without code. The seamless flow between conversation and execution is unlike anything else.

What our customers love:

Teams using Fabi AI Agent complete analysis in minutes rather than hours. Complex queries that once required multiple back-and-forths now work on the first attempt.

🔁 Deliver insights where your team works

And finally, we also shipped a new way to deliver and collaborate around insights.

What we built: AI data workflows that run on your schedule. Set up analysis once, deliver insights automatically.

Recurring analysis delivered: Workflows enabled teams to generate reports on a regular cadence and send them to their teams via Slack, email, etc. 

Alerts for what matters: Create thresholds for sensitive metrics you care about once and get automatic alerts when they change. 

Executive-ready insights: Auto-generated executive summaries for analysis that cut report-building time and create insightful visualizations.  

Teams went from spending hours on recurring reports to spending minutes setting up automation. An analysis that used to require manual effort every week now runs while you sleep.

🚀 What's Next

We're not slowing down. 2026 will bring deeper integrations, more powerful automation, and AI capabilities we haven't announced yet.

Thank you for building with us this year. Your feedback shaped every feature we shipped and we look forward to more to come in the new year.

Happy holidays,

Marc, Lei and the rest of the Fabi team