IRONBAY DATA / COMPANY

The intelligence behind your AI systems.

IronBay Data designs data and knowledge products for enterprises that need AI to work with a deeper understanding of their business. We connect specialist sources, internal knowledge and external signals around a defined workflow and the decisions it supports.

ChatGPT’s public launch in 2022 opened a new chapter for enterprise AI. Our ambition is to give these systems a deeper understanding of the environments they operate in, through relevant data, connected knowledge and a clear view of what is changing.

SOURCE → DECISION
SOURCESCONTEXTVALIDATIONDECISIONS
Architecture illustrationIRONBAY / INTELLIGENCE SYSTEMS

OUR OFFERING

From information to useful intelligence.

Custom data products

Data designed around the decisions your systems support. We bring specialised information into a consistent, documented structure, from product specifications to research findings and operational records.

Defined scope · Consistent structure · Source evidence

Connected knowledge

Give information its meaning. Connect facts, documents and relationships so your teams and AI systems can understand requirements, dependencies and the context behind an answer.

Shared meaning · Relationships · Traceable context

Intelligence feeds

Follow the changes that matter to your business, from product availability and technical updates to market developments. Define the signals, refresh cadence and delivery around your workflow.

Relevant signals · Change history · Agreed updates

Every engagement defines coverage, source evidence, access and delivery. Start with a prepared dataset and report; ongoing feeds are scoped around agreed sources, update frequency and service requirements.

OUR VISION

As intelligence becomes abundant, context becomes decisive.

Built around a real task

Begin with one decision or workflow. Assess quality by whether the result helps your team or system complete the task it was designed for.

Context you can inspect

We document field meanings, sources, time context, and limitations so information can be interpreted correctly.

Depth of understanding

Bring specialist sources and enterprise knowledge together. Relationships, shared definitions and context help systems interpret individual records correctly.

Continuity by agreement

A data product can begin with one prepared deliverable. Extend coverage, updates and integrations around its value in the workflow and agreed service requirements.

Discuss your data needs ↗