Datary Technologies
DATARY TECHNOLOGIES

Technology for
problems that matter.

Problems worth solving. Ideas worth exploring.
We build technology around the things worth improving.

↗IT STARTS WITH A QUESTIONWhat could work better?
A PRODUCT TAKING SHAPEBloom In development
Look closer. Every useful product starts somewhere.
INDEPENDENT TECHNOLOGY COMPANYRESEARCH / PRODUCTS / EXPERIMENTS

Not every problem needs technology.The right ones do.

Some problems are obvious. Others hide inside everyday routines, wasted time, unfinished ideas, and systems that were never designed around the people using them.

Datary looks for those gaps.

Sometimes the starting point is a problem. Sometimes it is an idea that could become something useful. The path changes. The principle doesn’t.

Understand deeply.
Build deliberately. Make it useful.

Different beginnings.
The same question.

A product can begin with a need or with an idea. What matters is what it can make better.

FROM POSSIBILITY TO PRODUCTDATARY / EXPLORER

Something takes too long.
Something could work better.

THE STARTING POINT
BUILD DELIBERATELY

Understand
the real need.

Investigate the problem. Explore what technology can change. Build when the opportunity is real.

The starting point changes. The standard doesn’t.

More than
a model.

The technology behind a product is only part of what makes it useful. Datary products are built around their own logic, context, workflows, and systems.

Where it matters, that can mean combining models, designing proprietary systems, developing new technology, or creating the infrastructure a product needs.

Intelligence, in context

Different needs.
Different products.

Datary is not built around a single category. Each product begins with its own purpose, its own users, and its own way of working.

They don’t need to be alike. They need to be useful.

BloomINTERACTIVE CONCEPT
A little more room for you.
YOUR DAY, YOUR WAY

Make space for
what matters.

What would feel useful today?

A SMALL STARTOne thing. Your full attention.

Choose something that matters to you. Give it ten quiet minutes.

Built around your circumstances ↵
Different day.
Different approach.
A concept illustrating our approach. Bloom is in development.
Currently in development

Your life isn’t
a template.

Personal development should adapt to the person, not the other way around.

Most productivity and self-improvement systems begin with a predefined method. Bloom takes a different approach.

It is being developed to understand how a person thinks, their personality, circumstances, goals, habits, and changing needs — then shape a personal system around them.

Explore Bloom

Built around the individual.

Not everyone responds to the same routine. Your system should make room for you.

Adaptive by nature.

What works today may not work tomorrow. Growth needs room to change.

Designed for real life.

Plans need to account for circumstances, not just goals.

Useful intelligence
is contextual.

Who is this for?

A useful system starts with the individual: how they think, what matters to them, and the circumstances they live in.

An illustration of our thinking, not a live product demo.

Some ideas need time
before they need a name.

Questions→Experiments→Systems→Products

Not everything begins as a product. Some ideas start as questions. Some become experiments. Some disappear. Some become systems. And a few become products.

Datary keeps space for that process. We explore new technologies, different ways of building, and ideas that may eventually become something useful.

See what we’re exploring

Curiosity is part
of the process.

Technology changes quickly. The harder part is knowing where it actually matters.

We question assumptions. We investigate before committing. We experiment before scaling. We build before making promises.

Research informs the product.
The product tests the research.

How can a system adapt to a person?

Bloom gives this question a concrete direction: exploring how personality, circumstances, goals and changing needs can inform a personal development system. The work is in development; the question remains open.

What belongs around the model?

We explore how context, product logic, workflows and infrastructure work together. The goal is not to add AI to something. The goal is to make something better because intelligence is part of how it works.

When does an idea deserve to become a product?

We investigate the need, test the value and leave room for the answer to change. An experiment can teach us something useful without becoming a product.

Datary wasn’t
always Datary.

A survey platformNew questionsDifferent experimentsDatary Technologies ↗
THE IDEA EVOLVED. THE CURIOSITY STAYED.

Datary began differently.

The first version was built around a different idea — a survey platform designed to help businesses understand their customers.

It didn’t become what it was supposed to become. Instead of ending there, the work continued.

Different ideas emerged. Different technologies were explored. New products began taking shape. Eventually, a larger pattern became clear.

The company didn’t need to be built around one product. It could become the place where different ideas are explored, developed, and turned into products.

That became Datary Technologies.

The person behind Datary

Built from curiosity.
Driven by usefulness.

Technology has been part of Shapur Akbari’s journey from an early age. He started programming with Python at nine, driven by a simple curiosity: understanding how things work and discovering what could be built with technology.

Over time, that curiosity grew beyond programming — into AI, systems, research, and the possibilities created when technology is applied to the right problems.

The first version of Datary was a survey platform.

It didn’t work.

The experience revealed something more important than the failure itself: building something is not enough. A real need has to exist. The market has to be understood. And technology — including AI — should have a meaningful reason to be there.

That became part of the foundation of Datary.

Today, ideas are explored through questions:

  1. Does the need exist?
  2. Can it be solved better?
  3. Does AI actually improve the solution?
  4. Is there a real market for it?
  5. And is it worth building?

The ambition is to build an ecosystem of useful products — not a collection of things simply labelled “AI-powered.”

Products that make difficult things easier, reduce wasted time, increase productivity, and create capabilities that were previously harder to achieve.

Because technology has more value when it expands what people can accomplish.

One company.
Many directions.

New ideas can become new products. Products can develop their own identities. And successful products can grow into something much larger.

Some may grow into independent companies. Some may remain focused products. Some may lead somewhere entirely unexpected.

The common thread isn’t what they do.
It’s who builds them.

The next useful thing
could start anywhere.

A question. An observation. A new technology. Or a completely unexpected idea.

There is more to build. Datary is being built to keep exploring, keep creating, and keep finding places where technology can make a meaningful difference.

Have something
worth building?

A problem. An idea. A possibility.
Some things are worth exploring.

Start a conversation