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ilumadata

Confidently ship analytics code faster with fewer errors

We’re retool for data pipelines. We allow less-technical people to edit data pipelines, with easy to use tools.

ilumadata
Founded:2022
Team Size:2
Location:London, United Kingdom
Group Partner:Michael Seibel

Former Founders

Luke Singham

Formerly, Data Platform Engineer and data lead at Monzo, previously at Palantir working across the commercial and government sectors. Over 10 years in the data industry.

Luke Singham
Luke Singham
ilumadata

Matt Sutton

Co-founder at ilumadata. Previously, as an Engineering Lead at Quantium, he built the team and platform behind their international expansion in retail data.

Matt Sutton
Matt Sutton
ilumadata

Company Launches

Hey YC,

We’re Luke Singham and Matt Sutton, co-founders of ilumadata.

ilumadata helps data teams make changes faster, with confidence. Catch mistakes before shipping. And when debugging, pinpoint the source of failures–fast.

🤓 Who is it for?

Data teams in large organisations feeling the pain of scaling data teams: struggling with broken pipelines, or taking too long to make changes.

❓The ask + can I try it?

If you fit this 👆category or know someone who does, we’d love to talk to you!

Email us at founders@ilumadata.io or request a demo at ilumadata.io

😩 The problem - why we built ilumadata

At Monzo, I experienced a growing number of pains as we scaled the data team:

  • Onboarding new team members took days to weeks
  • Debugging broken pipelines took hours to fix because information was hard to piece together
  • It was hard to know the impacts downstream of changes you made
  • Difficult to know who owns the data, who uses it or if it is even used at all

✅ The solution

ilumadata is a single workspace for the modern data stack, enabling data teams to ship 3x more analytics code with less errors:

  • Onboard new team members in under 60 seconds with a cloud hosted environment.

  • Learn, manage, version control, validate and test your pipeline in one workspace.

  • Mock out pipeline architecture like you would in a flow chart tool, with code you can use!

  • Debug, optimise and resolve your pipelines issues, fast.