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AI powered data apps that do the hard work 

Ready-to-use data apps to quickly transform Excel files into decisional tools, without writing code or formulas. With built-in advisory to clarify data strategy and planning.
Go live June 2025

Our solution

The cost and time required to build KPI dashboards, perform data quality checks or merge Excel data can be a roadblock for early-stage startups, SMEs and nonprofits.  â€‹

That's why we offer no-code, plug-and-play micro apps with built-in data strategy advisory to empower non-technical users, and quickly turn data into information. ​​

Here's an example of a data visualization app that instantly turns Excel data into a web KPI dashboard

Plug

Easy upload, no technical skills needed 

 

Play

Never write code or a formula. The built-in KPI algorithm generates 50+ key indicator metrics.

Fully modulable layout: create multiple reports, analyze and visualize explore data with ease

Rename charts and dashboards, save and export reports and charts

Empowering change makers


Data driven decision making is the way forward, but can take a lot of time and money.
Our apps 
do the hard work  so you don't have to. If you use Excel, you can simplify your tasks with our solutions.

NONPROFIt organizations

Create data strategies. Easily track and monitor impact. Attract more donors.

SMEs & STARTUPS

Track indicators to align profit with your mission and quickly maximize resource allocation. 

 SUPPORT ORGANIZATIONS

Support startups, nonprofits or small businesses with access to simplified data-driven decision making

AI enabled micro apps to support each step of the data lifecycle

1

Planning: Decide what data to collect and for what purpose

2

Build: decide how to obtain and organize data

3

Collect: Actively collect data and perform data entry

4

Data Preparation: Transform, anonymize or encrypt data

5

Storage: decide on online or offline storage solutions

6

Analysis: explore data, visualize and derive information

7

Decisions: inform decision making, apply changes observed from data analysis

8

Archival: Decide if, how and when to delete confidential data 

On a mission to help changemakers grow their impact with data driven decisions

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