Lumira AI: Turning a Spreadsheet Into a Finished Report
Services
AI System Architecture, Multi-Agent Development, Full-Stack Development, Data Visualization
Category
AI Data & Reporting Automation Tool
Client
Brainfog Agency LLP
Analysis: Many Agents Working at Once, Not One Slow Chatbot
Writing a full report with one AI model working step by step would be slow, since each section would have to wait for the last one to finish. The system was built so multiple agents can work on different parts of the report at the same time instead.
Performance
SEO- Parallel Report Writing: Seven separate AI agents each write one section of the report at the same time, alongside another agent writing the conclusion, instead of generating everything one step after another.
- Automatic Chart Selection: For each section, an agent looks at the actual data and decides which type of chart, like a bar chart, line chart, or heatmap, best represents it, then generates that chart for real.
- Fast Inference for Speed: The system uses Groq, a provider built for very fast AI response times, so a full multi-section report with charts is typically ready in under a minute.
Responsiveness
The frontend is a fast, responsive React application, so uploading a file and watching the report come together feels smooth on both desktop and mobile.
Problem: Turning Raw Data Into a Real Report Takes Time
Anyone who works with spreadsheets knows the real work isn't the data itself, it's making sense of it, building the right charts, and writing it all up clearly for someone else to read. Doing that by hand for every new dataset is slow and repetitive.
The Need for an Automatic Analyst
SEOBrainfog Agency LLP needed a way to turn a raw CSV file into a clear, well organized report without someone manually analyzing the data and writing it up every single time, while still producing something that reads like it was written by a real analyst, not a wall of disconnected AI text.
Solution: A Team of AI Agents Building the Report Together
Lumira AI was built around a multi-agent pipeline. One agent studies the data and plans out the report's structure, seven agents each write and chart their own section in parallel, and a final agent writes the conclusion at the same time.
An Editor Agent Keeps It All Coherent
EMAILSince the sections are all written independently and at the same time, a dedicated editor agent reviews the finished draft afterward to remove repeated points and keep the writing consistent, before the final report is exported as both a polished PDF and a Markdown file.
Your Questions,
Answered.
Quick answers to the questions that come up most. If anything else is on your mind, feel free to reach out directly.
Anything from a simple business website to a full AI powered platform. If you run a local business without a website, or you have an idea for a tool or automation that could save you time, that's exactly the kind of project we're looking for.
It's simple. First, a quick discovery call to understand what you need and map out the build. Then development, in focused sprints with regular updates along the way. Finally, launch, where we deploy the project and stick around to make sure everything runs smoothly.
You'll be working directly with the person actually building your project. No account managers, no middlemen, just direct communication and fast answers.
A simple, static website can often be built and launched in a day or two. Larger, full-stack or AI-driven projects usually take a few weeks depending on scope. Either way, you'll know the timeline upfront.
Yes. Every project includes a short support window after launch to handle any bugs. Ongoing maintenance, updates, and new features can always be arranged afterward if you need them.
Yes, that's not a problem at all. Whether it's adding a chatbot to your current site, building a new frontend for an existing backend, or fixing up one specific part of your app, happy to help.