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Bring us one question

Your own data platform, built for you and handed over

Get your reports to agree.

Titiqaqa connects the data behind your spreadsheets and dashboards, so your teams can reuse agreed figures instead of exporting, combining and checking the same records every week.

Bring us one questionProblems we solve

Problems we solve

Familiar work. Avoidable repetition.

If these problems sound familiar, there is a specific place for Titiqaqa in your business.

Sales and finance report different numbers.

Two reports call a figure revenue, but count different dates, refunds or customers, so the meeting starts with a debate about which one is right.

With Titiqaqa

Agree the definition once, then use that metric across reports, dashboards and alerts, with its period, scope and calculation made explicit.

Discuss what changed in the business, with the same definition in front of everyone.

Every weekly report starts with another export.

Someone downloads files from several systems, joins them in a spreadsheet and repeats the same clean-up when next week's data arrives.

With Titiqaqa

Connect the sources on a schedule and put the agreed transformations into reusable models, so reports refresh from the same prepared data.

Review the exceptions instead of rebuilding the reporting process each week.

The customer story is split across systems.

Sales knows the orders, billing knows the invoices and support knows the issues, but answering one question means looking in all three.

With Titiqaqa

Connect those records through an agreed business model, so you can follow a customer across orders, invoices and support history.

Answer questions about the whole relationship, not just one system's records.

A dashboard looks current, but nobody can explain the number.

A figure changes and the team cannot tell whether the business changed, a feed is late or records were rejected along the way.

With Titiqaqa

Show source freshness and processing exceptions, and trace a result through its definition and transformations to the source records.

Investigate the cause before acting on an incomplete picture.

See a customer-reporting example

An example

How many paying customers do we actually have?

Contacts, accounts and paying customers are different counts, so start by agreeing which customers qualify, then connect their records across your systems.

CRM2,410 contactsBilling1,284 payingSupport1,302 accountsPartner feed318 referredPaying customers1,284Illustrative data · not a sum of the source counts

Why it’s different

Numbers your whole business can stand behind.

  1. One definition, everywhere.

    A metric means the same thing in every report, dashboard and alert, because it is defined once and everything reads through it.

  2. Every answer traces to its source.

    Any figure can be followed back through the model to the records it came from.

  3. Your definitions live in your repository.

    What your entities are and what each metric means is written down where your own people can read it and change it.

  4. Running it comes with it.

    Job health, exceptions, lineage, access and alerts are pages in the same app, not a second system.

Nothing hidden

See exactly what you would be running.

Every part, how they connect, and what happens when you ask a question. The full map is one press away.

  1. Experience
  2. Serving
  3. Semantic layer
  4. Models
  5. Raw storage
  6. Ingestion + scheduler
  7. Sources

01You open a dashboard and ask for a figure.

  1. 01You open a dashboard and ask for a figure.
  2. 02It checks who you are and what you are allowed to see.
  3. 03One definition is applied, the same one every report uses.
  4. 04The answer is assembled from your data, the way your business defined it.
  5. 05Which came from your own systems, every row accounted for.
  6. 06The figure comes back, with the trail behind it.

What you get

It runs in your cloud account, not ours.

A deployment stands on the building blocks your cloud already provides, inside an account you own, under your own organisation policy and your own audit boundary. We build the part that does not exist yet: the governance, the checks and the meaning.

  • A deployment in your own cloud account
  • Your sources read, with every row accounted for
  • Your entities and metrics, declared once
  • Access applied as the question is asked
  • How to run it, written down and rehearsed
Your cloud account
  • Containers
  • Analytical store
  • Operational store
  • Object storage
  • Secrets
  • Identity
  • Telemetry
  • Ingress and WAF
  • Static web
  • Email
  • Key management
  • Time synchronisation

Every store, secret, key and pipeline, inside a boundary you own.

For your engineers

The whole architecture is published.

Every decision with what it replaced, every rule it checks itself against, every threat and the test that proves it. It all starts from the map.

How it starts

Three steps, and it's yours.

  1. 01

    Agree the first question.

    One thing your business needs to know, and the systems that hold the answer.

  2. 02

    Stand it up in your account.

    Your deployment, your sources read, your definitions declared.

  3. 03

    Take the keys.

    The answer with the evidence behind it, and a deployment you run from then on.

Then

Bring one question your business can't answer today.

We'll show you how it would get answered, in your own cloud account, with the evidence behind it.

Send the question

or write to brian@rockybeach.ai