Engineering & Data
Self-service Analytics that works for Everyone.
Empower teams with instant, controlled access to data, without compromising security or overloading engineering.


Already trusted by companies with big growth rate












It's time to give business teams Superpowers!
They need to make fast decisions with up-to-date data.
Don't be a bottleneck for data access.
Setup in less than 3 minutes
No SQL skills required
Enhanced security for your data

Features that let all teams turn data into action.
Create your single source of truth.
Connect all your data sources in 1 click.
No more hacky fixes on Google Sheets everywhere. No more export data floating around.

Let our AI data assistant respond to ad-hoc requests.
"What has been this customer's activity over the last 3 months?"
"What is the trend in the number of signups in a given country?"
"Which sales perform best in the quarter?"
All these questions are legitimate and necessary, but they distract you from your roadmap. Delegate them to our AI.
80% of our users do not have any SQL background. Yes we really do self-service anaytics!
Monitor and Relax!
We're flexible enough to support you as you grow.
We've processed hundreds of data infrastructure: from startup mvp to complex legacy data.

Ready to give business teams Superpowers?

Frequently asked questions
Relationchips is a data management solution designed to empower teams with instant, controlled access to data.
For CTOs, it simplifies data integration from multiple sources, reduces dependency on engineering resources, and ensures data security.
It allows business teams to autonomously access and analyze data, freeing up the technical team to focus on core development tasks.
Relationchips prioritizes data security by implementing robust encryption and access control measures. We are committed to obtaining certifications like ISO 27001 and SOC 2 to ensure your data is handled with the highest security standards.
Our AI data assistant uses advanced natural language processing to understand and respond to data queries in plain language.
It generates SQL queries behind the scenes, allowing users to interact with data without needing to know SQL.
You can also review and refine the AI's reasoning by providing context specific to your business or architecture.