broad.ai — an AI & data engineering studio

AI systems that make the decision obvious.

We build the data pipelines, dashboards and AI tooling that turn a messy real-world question into an answer you can act on — designed, built and shipped end to end.

Start a conversation What we do

01 — What we do

From raw source to a decision you can defend.

Data extraction at scale

Scrapers and ingestion pipelines that watch entire markets — thousands of sources, kept current automatically, with every value traceable to where it came from.

Decision dashboards

Not chart dumps. Analytics built around the question actually being asked, so the answer is legible in seconds to the person who has to make the call.

AI where it earns its keep

Language models applied to real bottlenecks: extracting structure from messy documents, generating research briefs, mining sentiment at volume. A component, never the pitch.

Products, end to end

Web platforms and mobile apps taken from idea to shipped — architecture, build, test coverage and deployment, with the polish of a product team.

Automation & monitoring

Morning digests, verified alerts, scheduled enrichment jobs. Systems that run unattended and speak up only when something genuinely needs attention.

02 — How we work

Small team, short feedback loops.

Step 01

Start with the decision

Before any code: what decision are you trying to make, how often, and what would change your mind? Everything else follows from that.

Step 02

Prove the data exists

A fast, honest feasibility pass. If the data can't support the question, you hear it in week one — not after a six-month build.

Step 03

Ship something usable early

A working system in front of you quickly, then iterated. Every number shows its source, its freshness, and its uncertainty.

03 — Contact

Got a question only data can answer? Let's build the system.

jamie@broadhurst.com

Tell us the decision you're trying to make and where the data lives (or doesn't, yet). You'll get a straight answer on whether it's buildable, and what it would take.

Data in, decision out.