About
A founder-led research technology company
Acadalytics exists to bridge research questions and the specialized data technology they depend on.
We want research teams everywhere to have engineering they can rely on, and to be able to show their work.
Mission
Why Acadalytics exists
Our mission is to help research teams transform complex data into validated datasets, reproducible analysis, and dependable software, so researchers can focus on generating reliable evidence.
Many research teams have strong questions and sound methods, but not the engineering capacity to wrangle documents, build pipelines, or maintain software. The people doing the most important work should not be slowed down by tools they do not have the time or the team to master.
We work as a specialist execution partner for that technical layer. We build it carefully, document it clearly, and hand it over so it keeps working after we leave.
What we believe
Six beliefs that shape the work
They are opinions, and we hold ourselves to them.
Research is only as strong as its data.
The best question and the best method cannot rescue data nobody can trace. We treat data engineering as part of the science, not a chore that happens before it.
Reproducibility is an engineering problem.
Good intentions do not make a result repeatable. Code, tests, pinned environments, and documentation do.
Show the checks, not just the answer.
Trust comes from visible verification. We report what passed, what failed, and what we could not resolve.
Methods belong to researchers.
You own the questions and the methods. We own the engineering, and we say so when a method needs expertise we do not claim.
Say no early.
If a project is not a fit, or a simpler solution exists, we say so at the start. It is better for you and it is how trust is earned.
Plain language wins.
If a nontechnical program manager cannot follow the explanation, the explanation is not finished.
Founder
Aditya Tomar
Founder and data engineer
Aditya Tomar is a data engineer. His work is turning messy, overwhelming information into systems that are clear and useful, and that background shapes how Acadalytics operates.
Acadalytics started from an observation: some of the people doing the most important work, such as researchers, professors, and the leaders of mission-driven organizations, were held back by technology they did not have the time or the team to master. Their analysis sat in spreadsheets, their processes depended on manual steps, and their evidence was harder to defend than it needed to be.
He built Acadalytics to close that gap with engineering that holds up: pipelines that can be re-run, checks that can be read, and software that outlasts the person who wrote it.
He writes explanations the way he builds systems: plainly, with the reasoning shown. That habit carries into client work, including saying so when a simpler solution exists.
How we work
Five operating principles
These describe the way we aim to work.
Scoped ownership
Each engagement has clearly defined deliverables and a named owner for the technical work.
Verifiable data quality
We aim to make quality checkable: explicit checks, reconciliation to sources, and reported limitations.
Reproducible, maintainable deliverables
Versioned code and documentation, so results can be re-run and the work can be handed on.
Researcher-approved definitions
Definitions and methods belong to your research team. We implement them and flag ambiguity.
Contract-defined continuity
Maintenance and support after delivery are agreed in writing, not assumed.
Ambition
Where we are, and where we are going
We are building a research engineering partner with global ambition. Here is the honest version of the path.
Today
A founder-led research engineering practice. Every engagement has a named technical owner, a written scope, and checks you can read.
Next
A growing library of published case studies, original technical guides, and open demonstrations, so you can judge the work before you commit.
The direction
To be the research engineering partner that teams around the world call first when their data work has to stand up to scrutiny.
Work with us
Tell us about the project and the help you need.