Welcome to Bayeslab
Last updated
Last updated
Welcome to Bayeslab, an AI-first data workbench designed for everyone—whether you're a solo entrepreneur, a business analyst, or just someone looking to work smarter with data. Bayeslab is here to empower you to analyze, visualize, and harness the power of your data without needing a full-fledged data team.
Start here:
Data has become the backbone of decision-making, but the tools we use haven’t always kept up. For many, working with data often means wrestling with spreadsheets, jumping between tools, or waiting for data engineers to clean and prepare datasets.
Bayeslab changes the way.
Whether you’re an analyst, manager or operations, Bayeslab helps you go further, faster—without needing a Ph.D. in data science.
See the video below to get a quick start:
Natural language based
Use natural language to describe what you'd like to do, and explain the results
Special context reference to help AI accurately understand
AI will help to do what you describe, such as run/analyze/interpret
Block based
And it's specialized for data analysis scenarios, meaning:
Handle various kind of data natively
Schema definition built-in and automatically provide to Gen-AI as context
Including cleaning, analysis/chart ideas, result interpretation, report generation...etc
Latest Generative-AI model with well-designed context for data analysis
Smart identification of result variable for use in later editing
Enable self-editing at every step to get better results
Full editing experience for underline python/sql/data/chart to suite your own needs
Unified SQL to join/process all data sources
In modern data stack(though lots of different versions), it's hard to see where Bayeslab is landed exactly:
This also says for itself the complex situation that real data analysis scenarios resides in.
We design Bayeslab firstly towards the end user side which has tabular data, need to get results quickly that doesn't fit in excel, and without hard-core data team always ready for disposal.
Bayeslab works best with tabular data. It can be exported from any business system or by email, or can be from any database/data lake.
Currently we don't plan to support processing of raw data that requires hand-tweaked deep learning models or videos.
Excel has many good ways such as flexible cells/pivot table/format/formulas. It's the most popular "data analysis" tool and will continues to be so in quite some time.
While we all know it's limitations:
Limited Data Size
Bayeslab can handle hundreds of millions of rows, GB level data with ease.
Cross join with other data source
Bayeslab unifies different data source under single SQL and unified schema.
Professional Charts
Advanced Modeling
Formular/VBA
Bayeslab uses natural language to describe logic, while still editable for finer detail
AI Help
Strangely Excel has not come with a good copilot for now.
When excel has done it's first couple of operations and more serious analysis is required, Bayeslab is what you need.
To analyze data efficiently and with correct result, often we need quite a lot of skills, or helps from others that have that skill.
The skills include but not limit to:
Programming
Python
SQL
Statistics/Math
Domain knowledge
Library
Plotly/sklearn/numpy/scipy/pandas....etc
With Bayeslab, you can complete analysis without any , some even all of the skills above. Bayeslab with AI can fill in any skill as necessary , acting as a good intern/analyst/engineer.
At the same time you can still use your own skill to produce maximum results, since all underline details are available to you and customizable.
What does it mean to be an AI-first product? It’s about embracing the strengths of AI to augment human capabilities, not just automate tasks. At Bayeslab, we focus on:
Context Is Everything: AI hallucinations (or errors) often stem from missing context. By grounding our platform in your real-world data and workflows, we ensure accurate, trustworthy insights.
Autonomy Where It Matters: Bayeslab acts as an agent, tackling technical details(python/sql/pandas/sklearn/plotly…etc) so you can focus on what and why. Think of it as the perfect partner: tireless, thorough, and always scanning for solutions you might have missed.
Empowering 10x Employees: With Bayeslab, you don’t need a dedicated data team to achieve data-driven success. It’s about making individuals 10x more efficient—freeing your data engineers to work on data quality and infra, and empowering you to act as your own analyst.
Handling sensitive data comes with responsibility. Bayeslab is built with security as a priority, ensuring your data is safe, private, and handled with care. Whether you're managing customer data or internal reports, you can trust Bayeslab to keep your information secure.
We’re in the early days of AI-first products. Just as early graphical user interfaces shaped how we interact with computers, AI-first tools are shaping how we interact with data.
It’s not just about getting the best result in a single task—it’s about making data analysis accessible, reliable, and intuitive for everyone.
Welcome to Bayeslab—your AI-first data workbench. Let’s get to work.
Bayeslab is a notebook style editor which follows principles. Meaning it's:
For more details of how to write prompt with content reference, see
The notebook is organized into a sequence of blocks representing step by step exploration nature of data analysis. (If you've used before, this should be almost identical)
Import or connect to .
Provide fine-tuned AI help across
For a more detailed feature explanation please view .
Bayeslab can process non-structured data like image/pdf/pure text using OCR + Generative-AI, into data table for analysis later. See .
Bayeslab provides professional , customizable.
Bayeslab provides so simple, you just need to say a few words
Bayeslab provide specific copilot for.
