Analytics without a data engineering team

Answers for your business.
Not another data project.

Your business runs across a dozen systems. Understanding it shouldn’t mean building a data department.

Mapal is building an AI analytics layer that brings product, finance, support and marketing data together—so you can focus on the question, not the infrastructure.

A clearer picture of the business
ProductWhat customers do
FinanceWhat becomes revenue
SupportWhere customers need help
MarketingWhere demand starts
One business.
One connected picture.
The whole picture, not another silo.

What we’re building

From scattered systems
to a shared answer.

Bring the work together.

One place for your business data, without assembling and maintaining a separate stack of data tools.

Make the meaning clear.

“Customer.” “Revenue.” “Churn.” The definition belongs in the answer, not in somebody’s head.

See what’s behind it.

The sources, definitions and freshness behind a number—not just a confident-sounding response.

For the person who owns the question

You know the business.
You shouldn’t have to run the data stack.

We’re starting with growing companies without a dedicated data engineering team. Whether you’re an operator doing the analysis yourself or an analyst supporting the team, the goal is the same: less time preparing data, more time understanding what to do next.