Turn scattered data into a platform you can actually use
The numbers are in five systems and nobody trusts the report. Agentas builds the ingestion, storage and dashboards that bring your data into one place — cleaned, current, and ready to act on.
What you gain
One source of truth
Data pulled from every system into one place, reconciled, so the report says the same thing no matter who runs it.
Current, not last month's
Automated ingestion on a schedule means the dashboard reflects today, without anyone exporting and pasting by hand.
Answers you can see
Dashboards built around the questions you actually ask — not a generic BI tool you have to fight to configure.
Discrepancies surfaced, not hidden
When the numbers do not add up, the platform shows you where — because a report you cannot trust is worse than no report.
How we build it
We build the pipeline first: reliable ingestion that pulls from your systems, normalizes the data into clean relational storage, and runs on a schedule with monitoring so it stays current. On top sits a web frontend built around your questions. Where the data needs interpreting, an LLM can classify and summarize — but every derived number is validated against the raw source, and discrepancies are surfaced explicitly rather than smoothed over.
Agentas builds and operates exactly this for itself: a multi-tenant analytics platform with a worker-thread ingestion pipeline and normalized storage, running across isolated containers behind a shared proxy, and a Go simulator with a continuous evaluation harness that compares output against real observed data. Production data engineering, not a dashboard demo.
Read how we work →What you can count on
- Built for high-throughput ingestion and operated in production, not left as a proof of concept.
- You own the data and the platform; we document the schema and can hand it over.
- For data that cannot leave the building, the whole platform can run privately on your own hardware.
A multi-tenant analytics platform, live
A public analytics platform with a server-side, worker-thread ingestion pipeline, normalized relational storage and a modern web frontend — built and operated single-handedly across isolated containers. See it in the AI & Innovation section.
See the work →What businesses search for
Some of what Norwegian businesses type into Google when they need this — shown here as plain content, not hidden keywords.
Questions
Our data is a mess. Can you still work with it?
That is the normal starting point. Cleaning and reconciling messy data across systems is most of the work — we do it once, in the pipeline, so you stop redoing it by hand every month.
Do we need a new BI tool for this?
Not necessarily. We can build dashboards directly, or feed a tool you already use. The value is in the pipeline underneath — reliable, current, trustworthy data — which most BI tools assume you already have.
How do we know the numbers are right?
Every derived figure is traceable to its raw source, and the platform surfaces discrepancies instead of hiding them. We would rather show you an honest gap than a confident wrong number.
Can it handle a lot of data?
Yes — the analytics platform we run ourselves uses a worker-thread ingestion pipeline built for throughput. We design for the volume you actually have, with room to grow.
Have a project in mind?
Tell us what you are trying to do — you get an honest read on feasibility, and a fast one.
Get in touch