Where AI means business

With AI, your data could be
doing more.

We help you turn it into value.revenue.intelligence.products.

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What we help you do

Amplifi is the applied AI partner for ambitious enterprises.

01
Turn proprietary data into licence revenue.

Data monetisation strategy · MCP and direct-to-AI integrations · Partner and channel integrations · Go-to-market for data products · Commercial layer solutions

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02
Powerful intelligence, lower costs, faster delivery.

AI coding with Claude Code, into your enterprise code base · Palantir Foundry and AIP deployments · Data pipelining · Agentic rollouts · Enterprise engineering

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03
Widen the gap your competitors can't close.

Data strategy · Decision intelligence platforms · AI programme design and delivery · Ontology design · Data security and AI governance

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Why Amplifi

The difference between talking about AI and making it work.

A decade of doing this, not talking about it

We've been turning data into commercial revenue for over a decade. That experience means faster outcomes and fewer expensive mistakes.

Official Palantir service partner. Claude Partner Network member. Technology agnostic.

We're one of a small number of Palantir service partners in the UK, with deep expertise in Foundry and AIP. We're also a member of the Anthropic Claude Partner Network, with expertise in Claude and enterprise agentic tooling. We work across the broader data and AI stack. The right platform for your situation, not ours.

Fluent in C-suite. Fluent in codebase.

Every engagement runs from boardroom conversation through to embedded commercial outcome. We don't hand off a document and move on. Every major client has deepened their relationship with us, not concluded it.

IP built from real work, productised.

We have turned internal capability into two products we now sell and deploy: ArchiveX and Matter AI. Both emerged from live client engagements. Both are in production today. You'll meet them properly further down this page.

If you want to know whether a firm delivers, look at how long clients stay. Our average client tenure is over five years.

How We Work

What working with Amplifi is like.

Proof of value, not proof of concept

We measure progress by whether something is changing how your business runs, not by how polished the demo is. Every engagement is structured so value shows up early, in your data, in terms your board recognises. If it doesn't, we change course.

Outcome-led, not platform-led

We start with the problem, not the platform. That might mean Palantir Foundry. It might mean Claude Code. It might mean something else entirely. We don't have a platform agenda. We have a results agenda.

Co-workers, not outsourced

We don't deliver a document and walk away. We work alongside your team, we stay in once something is live, and we find the next opportunity together. That's why our average client has been with us for over five years.

Compounding, not closed out

Every engagement produces something reusable, and we stay in to build on it. 100% of clients who progressed beyond proof of value expanded their engagement. Projects end. The relationship and the value keep compounding.

Products

Products built from real client work.Running in production today.

Every engagement we run produces reusable IP. Two products have emerged from that work. Both are in production today.

In production

Most organisations don't know what their data is actually worth. ArchiveX analyses your data assets, identifies the commercial opportunities inside them, and surfaces the highest-value paths forward. The diagnostic starting point for any data monetisation programme.

In production

Your proprietary data should be powering the AI tools your clients already use. Matter AI connects it there, handles the licensing and access layer, and turns what you already hold into a recurring revenue stream.

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Coming soon
Something new.

We build products from real client problems. The next one is already in development.

From intent to impact.

Your data is already there. The question is what you do with it.

Start with a conversation. See what your data could do.

Let's talk

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