AI Data Platforms

More data. Less trust. Fix the foundation.

AI Data Platforms

More data. Less trust. Fix the foundation.

AI Data Platforms

More data. Less trust. Fix the foundation.

AI Data Platforms

More data. Less trust. Fix the foundation.

The challenge

Data platforms were built to feed reports. Now they have to feed AI.

Dashboards could live with a few gaps. Models and agents can't. They need data that is joined up, governed and described in the language of the business, and most estates were never built to give it to them.

Nobody agrees on the numbers

The same metric has three definitions, depending on who you ask. Every team has built its own version of the truth, and every AI initiative inherits the argument.

Data AI can't understand

Tables and columns with no business meaning attached. Without a shared definition of what a customer, product or policy actually is, models fill the gaps themselves, and give confident answers that are wrong.

Platforms that never finish

Multi-year data programmes, fragile pipelines and governance bolted on at the end. By the time the platform lands, the AI opportunity it was built for has moved on.

Agentic engineering, built for you.

Building a data platform by hand takes years, and buying one means fitting your data to someone else's model. Godel Factory builds a data platform factory inside your estate on Microsoft Fabric. Agents map, model and build your data foundations; your engineers, ours or both direct the work, and every pipeline is tested and governed as it ships. It's yours to keep, and it grows with every new use case.

Agentic engineering, built for you.

Building a data platform by hand takes years, and buying one means fitting your data to someone else's model. Godel Factory builds a data platform factory inside your estate on Microsoft Fabric. Agents map, model and build your data foundations; your engineers, ours or both direct the work, and every pipeline is tested and governed as it ships. It's yours to keep, and it grows with every new use case.

Factory Platform
Factory Platform

How it works

Move in weeks, not years.

01

Map the data you really have

01

Map the data you really have

Your catalogue describes the estate you planned, not the one you run. We trace every source, pipeline and dependency to show where data comes from, who relies on it, how good it really is and where sensitive data sits. From "we're not sure what we've got" to a clear view of which data is ready for AI and what to fix first, before you've committed to anything.

02

Give your data meaning

02

Give your data meaning

We model your business into a shared semantic layer and ontology, so customers, products and orders mean the same thing to every report, team and agent. Then we prioritise the data products that unlock the most value first. One definition of the truth, owned by the business. Your models stop guessing what your data means.

03

Build once, use everywhere

03

Build once, use everywhere

Your factory builds the platform on Microsoft Fabric: bronze, silver and gold layers, governed data products and the semantic models on top. Agents do the repeatable engineering, your engineers, ours or both direct it, and every pipeline is tested, documented and secured as it ships. Every new data product makes the next AI use case faster. Your platform grows with the business instead of being rebuilt every few years.

Partnered with the leaders in AI

Claude logo
Microsoft Logo
Databricks Logo

48 hours

From a scattered data estate to a scored, sequenced foundation

The same solution-exploration engine that grades a legacy codebase applies just as well to a data estate. Every source, every silo, every gap, scored and sequenced inside two days.

50,000

Hours of R&D. Proven in production, continuously improving

Invested in building and refining AI-powered delivery, not just talking about it.

UK's No. 1

Agentic Engineering specialist

The only UK focussed partner holding both Claude Select and Microsoft Agentic engineering specialist status.

48 hours

From a scattered data estate to a scored, sequenced foundation

The same solution-exploration engine that grades a legacy codebase applies just as well to a data estate. Every source, every silo, every gap, scored and sequenced inside two days.

50,000

Hours of R&D. Proven in production, continuously improving

Invested in building and refining AI-powered delivery, not just talking about it.

UK's No. 1

Agentic Engineering specialist

The only UK focussed partner holding both Claude Select and Microsoft Agentic engineering specialist status.

48 hours

From a scattered data estate to a scored, sequenced foundation

The same solution-exploration engine that grades a legacy codebase applies just as well to a data estate. Every source, every silo, every gap, scored and sequenced inside two days.

50,000

Hours of R&D. Proven in production, continuously improving

Invested in building and refining AI-powered delivery, not just talking about it.

UK's No. 1

Agentic Engineering specialist

The only UK focussed partner holding both Claude Select and Microsoft Agentic engineering specialist status.

"

Awaze has had a very positive experience collaborating with Godel, particularly in delivering considerable improvements to our marketing and SEO platform, built on Contentful and a modern micro-frontend architecture.

Andy MacGilvery
,
Group Director of Engineering
Awaze

"

Awaze has had a very positive experience collaborating with Godel, particularly in delivering considerable improvements to our marketing and SEO platform, built on Contentful and a modern micro-frontend architecture.

Andy MacGilvery
,
Group Director of Engineering
Awaze

"

Awaze has had a very positive experience collaborating with Godel, particularly in delivering considerable improvements to our marketing and SEO platform, built on Contentful and a modern micro-frontend architecture.

Andy MacGilvery
,
Group Director of Engineering
Awaze

"

Awaze has had a very positive experience collaborating with Godel, particularly in delivering considerable improvements to our marketing and SEO platform, built on Contentful and a modern micro-frontend architecture.

Andy MacGilvery
,
Group Director of Engineering
Awaze

AI that finally pays off.