Standing out with end-to-end AI and data solutions since 2016

We rewire how organisations work with AI

Starting from first principles: what you are trying to achieve, how decisions get made, where value gets lost. AiRE rolls AI out across the organisation you already have. Labs builds custom AI-powered software when nothing off the shelf will do. We will tell you honestly which you need, including neither.

For PE funds, portfolio companies and mid-market leadership. From a free diagnostic to £150k+ builds, one transparent ladder.

In five weeks, a working agent on your stack, your team building it with us.

Trusted by FTSE 100, Fortune 500 companies and governments

We've partnered with 100+ businesses across sectors

Financial Services

Torch Partners logoIndependent Franchise Partners logoGeneration logo

Retail & Consumer

Argos logoMamas & Papas logoMarks & Spencer logo

Private Equity

Permira logoSVP Global logoCVC logo

Industrial & Aviation

Swissport logoPfleiderer logoKlöckner Pentaplast logo

SaaS & Tech

Mimecast logoSovos logoUnit4 logo

Public Sector

FCDO logoHome Office logoACE logo

01What we do

Two engines. One principle

Everything starts from what you are trying to achieve. Most organisations need AiRE first. Some go straight to Labs. We will tell you which, honestly.

AiRE · AI Rollout Engine

Deploy AI through the organisation you already have

AI working properly inside the stack you already run: Microsoft 365, Google Workspace, your CRM, the systems your teams live in. From AI experiments to AI operations.

Readiness Diagnostic

3 minutes

Free

AiRE Diagnostic

From 2 weeks

£25k

First Agent

5 weeks

From £35k

AiRE Rollout

Ongoing

From £8k/mo
Explore AiRE
QuantSpark Labs

Custom AI-powered software, working in weeks

A working prototype in 4 to 6 weeks. Not a slide deck. Not a roadmap. If it proves value we scale it into your operating model.

Labs Discovery

4 to 6 weeks

£40k

Labs Build

3 to 6 months

From £150k
Explore Labs

The AiRE Diagnostic ends with an honest recommendation: roll out, build, buy, or wait. When the answer is build, Labs takes over.

The work in practice

02Why us

We start from first principles, not from the technology

Your business is an information system. We study how decisions get made, how data flows, where value gets lost. Then we build the systems your teams actually use.

Systems thinking is back

Understand your operating model. Find where data, analytics and AI create advantage, and defend against competitors who are already using them against you.

AI closes the gap between strategy and software

We use AI to build software faster through rapid prototyping. And we build AI into the tools themselves: from understanding large datasets to agentic systems that take action.

Value lives in working systems, not slide decks

Practical tools that improve your operating model, grounded in the critical processes that matter to your organisation. Software that gets used daily, not presented quarterly.

The four steps to turn your data into value

01

Understand how you actually operate

We map your operating model: processes, information flows, decision points, the gaps. A real understanding of how value gets created and where it gets stuck.

02

Find where better data creates value

What data is missing, late, or siloed? We identify the opportunities worth pursuing and ignore the ones that only look good on slides.

03

Design the right solution

Buy, integrate, or build? We design what fits, including telling you when you do not need us; no bias towards custom builds.

04

Build and embed

We build systems that fit into how you actually work, then embed them in your operating model. Working products in weeks.

2016
Founded
100+
Systems delivered
70+
Team members
100%
Value tracked, not assumed

Bigger than a freelancer. Sharper than the Big Three.

You have competitors knocking on both sides. The big consultancies dazzle with analysis but rarely ship software. The flood of solo operators can build, but have no team, track record or accountability behind them.

The big consultancies

McKinsey, Bain, BCG

Genuinely strong at strategy, analysis and persuasion.

  • Hand you a deck, rarely working software
  • Implementation thrown over the wall to IT or a third party
  • Large, often junior teams on high day rates, slow to value
  • Generic playbooks; value projected, not proven

QuantSpark

The challenger consultancy

  • Strategy and working software, from one accountable team
  • Working systems in weeks, not slideware in months
  • More than a decade and 100+ engagements, FTSE 100 to government
  • You own the code and the IP; results tracked, not assumed

Solo operators and freelancers

The barrage of one-person pitches

Cheap, fast and willing to have a go.

  • One person, no team or infrastructure behind the build
  • No track record, no case studies, no credibility
  • A single point of failure, gone when you need support
  • Can ship a tool, but not the strategy around it

Strategy without software is just advice. Software without strategy is just code. We do both, and have for more than a decade.

Weighing up OpenAI, Anthropic, Palantir or an independent partner? We wrote an honest comparison.

Read: choosing a forward-deployed AI partner

03Proof

Proof, not promises

Systems built. Value delivered

Figures are drawn from completed QuantSpark engagements. Clients are anonymised by agreement; on a call we will walk you through how each number was measured and, where the client has agreed, put you in touch with a reference.

In their words

What clients say

QuantSpark helped us to develop our demand forecasting tool at Acqua & Sapone, enabling the change management needed to move away from a manual ordering process. Their solution gave the buying team clear visibility of model performance and the practical tools to fine-tune predictions — particularly around promotional periods. It was an excellent example of a pragmatic approach to analytics, that will drive real operational value. We are in the process of rolling the tool out more widely.

Paul Archer

Data Science Director, TDR Capital

Demand forecasting at Acqua & Sapone

The thing that surprised us was that the AI made our specialists better, not redundant. They could spot things in 25 minutes that they would have missed at the end of a four-hour read.

Director of Procurement, UK central government department

Read the case study

The prize was sitting in the warehouse the whole time. We just could not see it.

Director of Trading, Big-4 UK supermarket, General Merchandise

Read the case study

We are reading the market the way the market is moving. Not the way it was moving last quarter.

Chief Commercial Officer, Clinical Research Organisation

Read the case study

I have been pitched predictive maintenance by every vendor in the market for ten years. This is the first one that actually changed how we run the plants.

Group Operations Director, UK industrial manufacturer

Read the case study

Award-winning work

British Data AwardsConsultancy of the YearWinner 2026
Retail Systems AwardsData Analytics-Driven Retail AwardWinner 2026

How we work with your data

UK registered company

QuantSpark Limited, incorporated in England and Wales

Your data stays in your systems

Client-side data residency by default

You own the code and the IP

Full ownership of everything we build for you

GDPR-aligned delivery

Data protection built into how we work

AI-powered case study finder

Don't take our word for it. Ask our work.

Every answer comes from a real, documented QuantSpark engagement: nothing invented, nothing embellished. Ask what you are wrestling with and we will show you the proof, right here.

Built with the same applied-AI approach we deliver for clientsOr browse every case study

04Who we are

About QuantSpark

Trusted since 2016

More than a decade of working software for FTSE 100, Fortune 500 and government organisations.

The founder

Adam Hadley CBE

Founder

Adam Hadley CBE founded QuantSpark in 2016. He is driven by a conviction that the real prize of AI is its diffusion across the whole economy: not a handful of frontier labs, but the companies and governments that run the country learning to work in fundamentally better ways. The value of AI lives in working systems, not slide decks, and the right place to start is first principles of what an organisation is trying to achieve, not the technology itself.

That systems-thinking view shapes how QuantSpark works to this day. We treat a business as an information system, understand how it actually operates, and build the tools teams use every day.

The team

Around 70 people: strategists, data scientists, engineers, designers and operators, delivering working software for ambitious organisations.

StrategistsData scientistsEngineersDesignersOperators

05Start

One transparent ladder

Every engagement starts small and earns the next step. Book a discovery call and we will tell you where to start, honestly.

1
Start here

Readiness Diagnostic

3 minutes
Free

Ten questions. A scored readiness band and an honest diagnosis. No follow-up unless you ask.

  • Scored readiness band
  • Plain-English diagnosis
  • Recommended next step
Learn more
2
AiRE

AiRE Diagnostic

From 2 weeks
£25k

A short list of AI bets ranked by value, feasibility and risk, a recommended roadmap, and an honest read: roll out, build, buy, or wait.

  • Ranked AI bets
  • Value and feasibility scoring
  • Recommended roadmap
  • Honest build / buy / wait call
Learn more
3
AiRE

First Agent

5 weeks
From £35k

A production-candidate agent, live on your own stack in five weeks, built with your team so you leave owning both the agent and the ability to build the next one.

  • One core workflow mapped (week 1)
  • One production-candidate agent on your stack
  • Your people building alongside us
  • Runbook, eval harness, code and IP, all yours
Learn more
4
AiRE

AiRE Rollout

Ongoing
From £8k/mo

Fractional AI implementation across your existing stack. From AI experiments to AI operations.

  • Tool deployment on your stack
  • Team enablement
  • Governance and guardrails
  • Monthly reviews and Slack support
Learn more
5
Labs

Labs Discovery

4 to 6 weeks
£40k

A working prototype on your data, in your workflow. Not a slide deck. Validated value and a scale roadmap.

  • Process and data mapping
  • Working prototype
  • Validated value case
  • Scale roadmap
Learn more
6
Labs

Labs Build

3 to 6 months
From £150k

An enterprise-grade system embedded in your operating model. You own the code and the IP.

  • Production build
  • Integration and embedding
  • Team handover
  • 12 months support
Learn more

Every project is scoped individually. Book a discovery call and we will provide a detailed proposal within 48 hours.

Frequently asked questions

Everything you need to know about working with QuantSpark

How is QuantSpark different from traditional consulting firms?
Traditional consultancies like McKinsey or BCG excel at strategy but often struggle to build enterprise software. They deliver recommendations; we deliver working systems. Our team includes both business consultants and software engineers, so you get strategic insight AND practical implementation in one engagement.
What does a typical Labs engagement look like?
QuantSpark Labs engagements start with a £40k Discovery that runs 4 to 6 weeks. Week 1-2: We map your processes, interview stakeholders, and identify where software can create value. Week 3-4: We build a working prototype you can actually use. Week 5-6: We validate results, refine the solution, and create a roadmap for a full build (from £150k) if the prototype proves its value.
Do you only work with large enterprises?
We work with organisations of all sizes, but our sweet spot is mid-market to enterprise companies (typically £50M+ revenue) with complex operational challenges. We've delivered for FTSE 100 companies, PE-backed portfolios, government departments and high-growth scale-ups.
What technologies do you use?
We're technology-agnostic and choose the best tools for each problem. That said, we commonly work with Python, TypeScript, React, cloud platforms (AWS, Azure, GCP), modern data stacks, and various AI/ML frameworks. We also integrate with existing enterprise systems like Salesforce, SAP, and Microsoft 365.
How do you measure ROI?
We define success metrics upfront, whether that's time saved, cost reduction, revenue increase, or error reduction. During the Labs phase, we establish baselines and track improvements. Every project includes an ROI dashboard so you can measure impact in real-time, not just in a final report.
What happens after the prototype is built?
If the prototype proves its value, we can scale it into a production-ready system integrated with your operations. If it doesn't work as expected, you've learned something valuable in weeks rather than months, and at a fraction of the cost of a full build. Either way, you own the code and intellectual property.
Do you provide ongoing support?
Yes. After deployment, we offer support packages ranging from bug fixes and maintenance to continuous improvement and feature development. Many clients also use AiRE, our AI Rollout Engine: a £25k two-week diagnostic followed by fractional rollout support from £8k a month.
How quickly can you start?
We typically have capacity for 3-4 new Labs projects per quarter. Current lead time is usually 2-4 weeks from signed agreement to project kickoff. For urgent projects, we can sometimes accommodate faster timelines, just let us know your constraints.

Ready to build something that realises value?

Start with a discovery call. We'll show you how to turn strategic intent into working systems, with measurable outcomes, not assumed ones.

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