Analyse Your Business Data With No Code Tool

For businesses of all sizes, the phrase “data-driven decisions” has become a mantra. But there’s a catch — analysing data is hard, especially if you’re not data analyst. Extracting meaningful insights from spreadsheets and databases often requires skills and effort.

Cells AI is a tool designed for small and medium businesses (SMBs), non-technical teams, and domain-specific professionals. It empowers anyone to analyze their data by simply asking questions in natural language, and receiving instant insights and visualisations — no technical expertise required.

Overview of a Project in Cells AI. CSV files uploaded are shown on left, with rich visualisation and answers shown in the chat interface.

How Does Cells AI Work?

Cells AI transforms the way you interact with your data by combining natural language processing, automated SQL generation, and dynamic visualisations:

1. Upload Your Data: Start by uploading your Excel or CSV file — or connect to your database. Cells AI securely processes your data in seconds.
2. Ask a Question: Type questions like, “What were our top-performing products last quarter?” or “What’s the average customer retention rate?”
3. Get Instant Insights: Cells AI processes your query, runs the necessary analysis, and presents accurate results — whether as charts, graphs, or tables.
4. Export or Refine Results: Export insights, tweak queries, or dive deeper into your data as needed.

With this simple workflow, Cells AI eliminates the technical barriers to data analysis, making powerful insights accessible to everyone in your organisation.

Why Traditional Data Analysis Falls Short

Complexity: Most data tools expect users to know SQL or advanced analytics platforms like Tableau or Power BI. But not every team has access to those skills, leaving them dependent on overburdened analysts or IT support.

Time Consuming: Manually creating charts, filtering data, or crafting SQL queries takes time, especially when exploring large datasets. For fast-paced teams, this delay can mean missed opportunities to act on emerging trends, improve performance, or respond to customer needs. With Cells AI, teams can focus on what’s important — getting insights — and not waste time thinking about how to extract them.

Unaccessible: Even for those with technical know-how, juggling between tools like Excel, cloud databases, and visualization platforms can make data analysis frustrating and fragmented.

How Cells AI Solves These Pain Points

1. Natural Language Queries: With Cells AI, you can ask questions about your data just like you would a teammate. For example:

• “What were the top 5 products sold last month?”
• “Show me the trend of customer churn over the past 12 months.”

2. Dynamic Visualizations: Not only do you get tables, Cells AI creates interactive charts, graphs, and dashboards tailored to your needs. With no extra effort, you can spot trends, patterns, and outliers.

Real-World Use Cases

Here are just a few ways businesses are using Cells AI to transform their workflows:

1. E-Commerce

• Challenge: Understanding product performance across seasons.
• Solution: Cells AI provides instant sales breakdowns by category, time frame, and customer segment — no spreadsheets required.

E-Commerce data for a store.

Instead of focusing on deriving your thoughts into code/excel formulae, simply ask the question in your natural language. The explanation and conclusion section tell you how the answer is derived, so you can be sure it is accurate.

Get both, a tabular and chart visualisation to answer your question.

2. Finance

• Challenge: Forecasting revenue and tracking KPIs.
• Solution: Cells AI generates forecasts and visualizations to help finance teams stay proactive.

Dive into the behavioral insights behind investment choices.

Case study: Understanding how gender and age influence investment preferences to create personalised financial products.

Financial data to see what we are working with.

Ask a thought-provoking and generic question. Cells AI will make sensible assumptions with explanations, and lead you to its data driven conclusion.

The resulting query, table, and pie chart show a very insightful answer to the original question — which was generic and not detailed.

3. Customer Success

• Challenge: Identifying reasons behind churn.
• Solution: Cells AI highlights customer trends and potential issues, empowering teams to act before it’s too late.

Discover how customer purchase behavior drives revenue growth.

Case study: Using category-level revenue trends and purchase frequency insights to tailor marketing campaigns.

The data we are working with.

Asking a relative “number-heavy” and complex question containing two sub-questions.

Cells AI does a very good job at understanding and extracting the required analysis for the question.

Why Cells AI Stands Out

Cells AI prioritizes simplicity without sacrificing power.

• No learning curve: Designed for anyone, not just data scientists.
• Customizable insights: Tailored to your industry and needs.
• Future-proof features: With upcoming domain-specific automations and integrations, Cells AI is built to evolve with your business.

Ready to Unlock Your Data?

Cells AI is currently in beta and we’d love to onboard your business for free. This is more than just an early access program — we want to work directly with you to understand your unique challenges and build a solution that truly solves your problems.

Join us in shaping the future of simple, efficient, and powerful data analysis. From SMBs to e-commerce brands and finance teams, we’re redefining how businesses interact with their data — making insights fast, accessible, and actionable for everyone.

Start your journey today and see how Cells AI can empower your team to make smarter decisions, faster.

Cells AI | LinkedIn