[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.
Unstructured text: documents, PDFs, product reviews, emails, transcripts,...
Databases, knowledge graphs, ML models, and more
Recommendations, predictions, automation, analytics, ...
A few of the things we've built, and the kinds of problems AI is good at solving.
- Recommendations
Show users what they need before they go looking. - Intelligence
Turn raw documents into answers your team can act on. - Analytics
Understand why customers really complain. At scale. - Extraction
Pull key terms from contracts, invoices, and CVs in seconds. - Predictions
Know who's about to churn or which leads will close. - Automation
Let tickets route and prioritise themselves.
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
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
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.
We work best with small teams. Founders, early-stage startups, and companies who need to move fast without hiring a full data team.
"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."
"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."
"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."
Let's Scope It
A focused conversation about what's buildable and what it would take.
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