Proof of Value

See it work.
Decide on results.

Pick one use case your business is waiting for. DataSQRL builds it, verifies it on your data and runs it, with your team approving every change. You see results in weeks and decide on them, measured against criteria agreed before we start.

Proof of Value · your use case
30 minutes
Use case definition
60 minutes
Design workshop
30 minutes
Proof of Value walkthrough
6 weeks
Deploy with your team
Ends in a go/no-go decision on criteria you set.

01 / The engagement

Structured, time-bound, led by a principal engineer.

  1. 01

    Use case definition

    30 minutes

    Pick one use case your business is waiting for and agree what success looks like.

  2. 02

    Design workshop

    60 minutes

    Map the sources, systems and stakeholders with a principal engineer.

  3. 03

    Proof of Value walkthrough

    30 minutes

    Walk through a working version of the use case, within one week.

  4. 04

    Deploy with your team

    6 weeks

    Take it to production with your data, with your engineers approving every change.

02 / What you get

  • A working use case

    Built from one readable SQL specification, deployed and monitored.

  • Its evidence

    Test and simulation results, lineage and policy checks for every change.

  • A clear decision

    A go/no-go recommendation measured against the success criteria agreed in the workshop.

03 / Who it is for

For an enterprise with a defined data or AI use case, held back by data engineering capacity.

For regulated or mission-critical use cases where the result has to be verified. Your team stays in control.
Start with one of these.

  • Customer 360
  • Transaction monitoring
  • Regulatory and risk reporting
  • Per-customer data delivery
  • Clinical and operational data
  • Data for AI agents

04 / Talk to an engineer

Tell us what you would build first.

Choose an executive briefing or a technical deep dive, led by a principal engineer, or ask for case studies and supporting material.

What would help most?

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