Data & Analytics
Conversational AI tools that let anyone analyse data, build dashboards, and surface insights without writing code.
Most companies are sitting on more data than they ever examine, because getting answers from it has historically required someone who knows SQL or Python. AI data tools are changing that. Business teams can now ask questions in plain English and get charts and summaries back in seconds, without opening a ticket or waiting on an analyst. The shift is from planning to look at something to actually looking at it.
The tools divide cleanly by who they are built for. Julius AI is aimed at business users who want answers from data but have no interest in learning query languages. Hex and Noteable are aimed at analysts and data scientists who write code but want AI to speed up the tedious parts. Equals is aimed at finance and ops teams who live in spreadsheets and need live data connections. The right tool depends on the user, and mixing up those categories tends to lead to poor adoption.
For data teams specifically, one of the more underrated AI capabilities is explanation. Being able to ask in plain English what a query does, or why a metric is behaving unexpectedly, reduces the time junior analysts spend deciphering legacy code. It also makes it easier for senior analysts to document their work as they go.
The wider benefit is that when business teams can answer their own routine data questions, the data team spends less time on ad hoc requests and more time on analysis that actually requires their expertise. For organisations where simple data questions routinely wait days for a response, giving non-technical teams a tool they can use themselves often delivers faster returns than more infrastructure investment.
4 Tools
Julius AI
Julius AITalk to your data in plain English
Julius AI is a conversational AI data analysis tool that lets you upload a spreadsheet, connect a database, or paste raw data, then ask questions in plain English. It produces charts, statistical summaries, correlations, and forecasts without requiring SQL, Python, or any technical background. The analysis is conversational: you ask a question, Julius produces a result, you ask a follow-up, and the session builds on itself. It also proactively suggests follow-up analyses based on patterns it detects, which is often where the most useful insights surface.
Hex
Hex TechnologiesAI-powered data notebooks and apps
Hex is an AI-powered data notebook platform where Magic AI generates Python and SQL so analysts can focus on the reasoning and interpretation rather than the syntax. You describe what you want — 'calculate 30-day retention for each cohort' or 'join these two tables and show me month-over-month growth' — and Hex's Magic AI writes the code and runs it. Existing code can be explained in plain English, refactored on request, or used as the basis for follow-up queries.
Noteable
NoteableAI-powered collaborative data notebooks
Noteable is a browser-based data notebook with an AI co-pilot that suggests next analysis steps, generates code from plain English descriptions, and flags potential issues before they become errors in your results. The co-pilot understands the context of what you are working on — the data you have loaded, the analyses you have already run — and makes suggestions that are relevant to your specific dataset rather than generic.
Equals
EqualsAI-powered spreadsheets connected to your data
Equals is an AI-powered spreadsheet platform that connects directly to your databases and data warehouse, so every number you look at is live rather than a CSV export from last Tuesday. When the data refreshes, every chart, formula, and calculation updates automatically — there is no manual export step, no question of whether the numbers are current, and no version control problem of multiple people working on different exports of the same data.