Unchained Technologies Contact

Data you can decide with.

We make company data clean, connected and ready to use for decisions.

We work on

  • AWS
  • Google Cloud
  • Azure
  • Oracle
  • Databricks
  • Snowflake
  • dbt
  • MongoDB
  • DuckDB
  • Splunk
  • Power BI
  • Apache Spark
  • Apache Airflow
  • Fabric

From scattered data to numbers you can use.

Three services. Take one, or take them in order.

  1. Data preparation

    Raked gravel: a rough, scattered surface above, combed into even parallel lines below.

  2. Data modelling and pipelines

    Rail lines in morning fog, branching and converging across a wide track bed.

  3. Analysis and dashboards

    A person in a blue jumper standing at a tall window, looking out over a city.

See what each service includes

Audit first. Then build.

  1. 01

    Audit

    We map your data sources, how reports are made today and where the numbers disagree.

    You get: a written audit with problems ranked and a proposed scope.

  2. 02

    Model

    We agree the definitions that matter and design the data model around them.

    You get: a model and metric definitions you approve before we build.

  3. 03

    Build

    We prepare the data, build the pipelines and dashboards, and check them against the numbers you already trust.

    You get: working pipelines and dashboards.

  4. 04

    Hand over

    We document everything and train the people who will run it.

    You get: the documentation and a walkthrough with your team.

A long concrete wall on open ground with one doorway looking through to the sea.

Fewer sources. One version of the numbers.

Two colleagues at a wooden table, one sketching on a sheet of paper while the other watches closely.

What we measure.

Every engagement starts with a baseline, so the change is measured, not claimed.

  • Hours saved

    Time your team spends each month on recurring reports and manual data work, before we start and after hand over.

  • Reporting time cut

    Time from the end of a period, or a request, to a finished report, before and after.

  • Sources unified

    How many data sources feed your reports, and how many now load into one model.

Frequently Asked Questions

How long does a project take?

It depends on scope, so we do not guess on a first call. The proposal gives a date for every milestone, and during the build you see working pipelines and dashboards every week, so a slip is visible in days.

How is pricing set?

Fixed scope, fixed quote. The proposal states what is included and the price, and nothing starts until you approve it. If the scope changes, the change is priced before any work on it begins.

Can you work with our existing systems and team?

Yes. We start by reading your data sources and constraints, then agree how we will work alongside your team.

Can we buy the audit on its own?

Yes. The audit is fixed-scope work with a written result. You can stop there, or take the proposed scope forward into a build.

What happens after hand over?

Hand over includes the documentation, a walkthrough with your team and 30 days of support. If you want support to continue, we agree a monthly plan and its price before it starts.

Do you also build AI tools?

Yes, once the data is ready: automations, workflows and integrations.

Tell us where it breaks.

Bring the report nobody trusts. Forty-five minutes with someone who will work on it, and you leave with a proposed scope or a straight answer that we are not the right fit.

Book a call about your data Email instead