[SYS // SERVICES]

AI Development for Product Teams

We build the extraction pipelines, data models, and intelligence layers that turn your unstructured data into product features.

Sources

Unstructured text: documents, PDFs, product reviews, emails, transcripts,...

Structure

Databases, knowledge graphs, ML models, and more

Intelligence

Recommendations, predictions, automation, analytics, ...

01

A few of the things we've built, and the kinds of problems AI is good at solving.

02
[A]

Definition

  • Pressure-test your vision with someone technical
  • Figure out what's feasible and what to build first
  • Deliverable: a concrete spec with costs and timelines
  • Works standalone or as phase one of a project
[B]

Project

  • Scoped build, fixed price. You know the cost upfront
  • Have a fixed budget? We'll shape the scope to fit
  • Anything from a standalone service or API to a full MVP
  • Typical delivery: 2–4 weeks
  • Production-ready code, documentation, and a clean handover
[C]

Embedded

  • Ongoing hands-on engineering within your team
  • Day rate, with discounts for block bookings
  • Scale up or step back as your needs change

We've shipped AI to production across multiple industries. We use our own AI-powered tools to deliver faster and at lower cost than traditional consultancies. You own the code and there's zero lock-in. When a project needs UX, design, frontend, or extra engineering capacity, we can bring in trusted specialists to augment the team.

03

We work best with small teams. Founders, early-stage startups, and companies who need to move fast without hiring a full data team.

Private Equity Proprietary recommendation engine that maps hidden relationships across companies, founders, and networks to surface investment opportunities £300k contract won
FemTech Real-time hormone prediction from a smartphone camera using computer vision and ML $6.7m seed raised
Retail Intelligence layer for understanding why customers return products and what to do about it UK's largest female-founded seed
Sports Tech LLM-powered contract analysis that extracts key terms, flags issues, and keeps humans in the loop 100s manhours saved
AdTech Connectors linking data warehouses to ad platforms, enabling audience analysis and activation in one flow £160k ARR won
04
"Laura and the DataFenix team delivered exceptional value on a time-critical project. Laura is that rare combination of strategic thinker and hands-on developer. From autonomous requirements gathering and solution architecture to coding and leading client sign-offs, her ability to move effortlessly between technical depth and executive communication meant she slotted into our team seamlessly. The project delivered on time and exceeded expectations. Highly recommended."
Susie McLaughlin Head of Delivery, Audiences AdTech
"We've partnered with Laura at DataFenix, a specialist AI and data consultancy, to enhance our data science capabilities in an enterprise-grade environment at a large global asset manager with $80bn in assets under management. Her work has directly supported our sourcing and origination efforts. Laura is a highly experienced data scientist who rapidly introduced advanced techniques tailored to our use cases, quickly translating them into viable, production-ready outcomes. She contributed not only at a technical level but also in shaping the underlying business case. A true self-starter, Laura works effectively to clear objectives without requiring close supervision. Most importantly, our users are delighted — we're uncovering genuinely valuable connections and insights that are materially improving how we identify and pursue opportunities."
Investment Director Large Multi-National Asset Manager Private Equity
"We'd talked to a few people about building this and honestly none of it went anywhere. Laura was the first person who delivered what they said they would. It's live in our application now and working great."
Operations Director Sports Tech Company Sports Tech

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