Automated data cleaning, in minutes, not hours or days.
Fast and accurate AI data cleaning for engineers and analysts. Sliq auto-fixes formats, missing values, and schema issues. Get analysis-ready data, in minutes — not hours or days.
If you work with data, you know the painful reality: Data Analysts and Scientists often spend 70-80% of their time just cleaning data.
Instead of training models, testing hypotheses, or uncovering the narrative hidden in the numbers, we are stuck fixing date formats, hunting down typos, and patching missing values.
It’s the "janitor work" of data science - it kills our momentum, and everyone hates it.
The Solution: Data cleaning that understands context
Sliq is an AI-powered tool that automates this process.
Unlike standard cleaning scripts that just apply rigid rules, Sliq understands the context and the domain of your data.
When you upload a dataset, Sliq analyzes the semantic context (whether it's financial records, e-commerce logs, or medical data) to understand what the data should look like.
It diagnoses the specific quality issues and builds a tailor-made cleaning plan specifically for your dataset.
Why Sliq?
Context-Aware: It detects errors based on the context and the domain of the data, not just rigid rules.
Tailored Pipelines: No generic fixes. It builds a cleaning plan tailored for your specific dataset.
Speed: Go from messy raw CSV to analysis-ready data in minutes, not hours or days.
We are in Beta!
We are launching the website in Public Beta today, and it is completely FREE to try right now. More advanced features and higher cleaning limits are coming in the full version soon.
Hi Product Hunt! 👋
I’m Daniel, the founder of Sliq!
What if Your Data Cleaned Itself?
This is the question we asked.
Our answer: Sliq.
The Problem: The "Janitor Work" of Data Science
If you work with data, you know the painful reality: Data Analysts and Scientists often spend 70-80% of their time just cleaning data.
Instead of training models, testing hypotheses, or uncovering the narrative hidden in the numbers, we are stuck fixing date formats, hunting down typos, and patching missing values.
It’s the "janitor work" of data science - it kills our momentum, and everyone hates it.
The Solution: Data cleaning that understands context
Sliq is an AI-powered tool that automates this process.
Unlike standard cleaning scripts that just apply rigid rules, Sliq understands the context and the domain of your data.
When you upload a dataset, Sliq analyzes the semantic context (whether it's financial records, e-commerce logs, or medical data) to understand what the data should look like.
It diagnoses the specific quality issues and builds a tailor-made cleaning plan specifically for your dataset.
Why Sliq?
Context-Aware: It detects errors based on the context and the domain of the data, not just rigid rules.
Tailored Pipelines: No generic fixes. It builds a cleaning plan tailored for your specific dataset.
Speed: Go from messy raw CSV to analysis-ready data in minutes, not hours or days.
We are in Beta!
We are launching the website in Public Beta today, and it is completely FREE to try right now. More advanced features and higher cleaning limits are coming in the full version soon.
I’d love for you to try it at https://sliqdata.com.
We need your feedback to make the AI even smarter!
I’ll be here all day answering questions.
Cheers, Daniel