Results we can put a number on
Every engagement here is documented: the problem, what we built, and what changed. Filter by industry, engine or outcome to find work like yours.
- £135m+
- Value identified across our documented work
- $130m+
- Across US engagements
- 100+
- Engagements delivered
- 6
- Industries
- Since 2015
- Building AI systems that ship
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Showing 23 of 56 engagements
Marketing budget allocation tool cut cost per acquisition by 10%
A high-street womenswear retailer
A high-street womenswear retailer wanted to allocate digital marketing spend across channels and geographies to maximise return. A bespoke decision-support tool cut cost per acquisition by 10 per cent while the business kept growing.
Streamlining Excel-based workflows with Python automation
An investment management firm
How QuantSpark modernised an investment management firm's Excel-based reporting with Python automation, cutting manual effort and improving data quality without replacing familiar tools.
Automating a global asset manager's data pipeline to streamline decisions
A global ESG-focused asset manager
Replacing a sprawling legacy spreadsheet with an automated data pipeline cut refresh times from hours to minutes and freed analysts to focus on investment advice.
A rapid AI prototype to auto-file email attachments at a private equity firm
A private equity firm
A private equity firm built internal AI momentum with a lightweight prototype that automatically files inbound email attachments into its document management system.
Deploying advanced data engineering to accelerate investment data processing
An asset management firm
How QuantSpark cut an asset manager's end-to-end investment-data processing time by 70%, giving portfolio managers faster access to the data behind their decisions.
Automating an ESG asset manager's annual portfolio investment review
An ESG-focused asset manager
An ESG-focused asset manager cut its annual portfolio investment review from 40 days to one through an automated data pipeline and interactive dashboards.
A cloud data lakehouse for an online vehicle-trading platform
An online automobile-trading platform
A cloud-based data lakehouse consolidated siloed sources into a single relational store, enabling business intelligence and analytics across a fast-growing vehicle-trading platform.
Rebuilding macro space planning on a modern analytics platform
A leading UK supermarket group
QuantSpark replaced slow, hard-to-maintain Excel space-planning models with a bespoke Python analytics platform that is now the backbone of macro space decisions across the estate.
Machine learning improves a medical-device supplier's sales forecasting
A private-equity-backed orthopaedics and medical-device supplier
A seasonality-based machine-learning model cut sales-forecast error by around a third and extended forecasting to 18 months, optimising stock across international markets.
Automating business intelligence to prioritise sales leads in real time
A high-growth cloud software (SaaS) provider
QuantSpark converted a manual, Excel-based reporting process into automated SQL pipelines feeding a business intelligence tool, saving 1.5 full-time equivalents and enabling sales leads to be prioritised in real time.
Real-time dashboards to evaluate a churn prediction model
Private equity-backed cyber security software provider
A cyber security software provider needed to know whether its churn and downsell prediction model was working in production. QuantSpark built a dashboard suite that replaced slow, ad-hoc analysis with real-time visibility for the board.
Accelerating data-driven decision-making with embedded analytics consultants
An ESG-focused investment manager
How embedded, secondment-style analytics consultants helped an ESG-focused investment manager deploy advanced analytics fast, without the cost or commitment of permanent hires.
Automating performance fee calculations for accuracy and efficiency
An asset management firm
How automating performance-fee calculations helped an asset manager cut calculation time and discrepancies while improving revenue forecasting.
Embedding a seconded data team on an equities investment desk
A global equities investment team
A global equities investment team gained advanced analytics capability through a seconded QuantSpark data team, delivering proofs of concept and automating its yearly portfolio review.
Sourcing a senior data analyst to restart a retailer's analytics programme
A leading UK retailer
QuantSpark Talent sourced and onboarded a senior data analyst for a UK retailer whose analytics programme had stalled, restoring capability across pricing, marketing, personalisation and strategy.
Standardising revenue policies for a buy-and-build exit
A private-equity-backed professional services group
Standardised revenue-recognition, work-in-progress and fee policies unified a multi-entity professional services group's reporting, simplifying integration and preparing it for exit.
A structured roadmap for AI in a regulated contract research organisation
A global specialist contract research organisation
A global specialist contract research organisation carried heavy manual overhead across finance, proposals and reporting, with no structured way to identify where AI could help. QuantSpark delivered a four-week discovery that produced a ranked, governance-aware roadmap of prioritised AI opportunities.
A minimum viable range: cutting SKUs without losing revenue
A private-equity-backed UK pet superstore chain
A private-equity-backed UK pet superstore chain carried a dog food range that had ballooned to around 1,930 SKUs, yet most of its sales came from a few hundred. QuantSpark’s fixed-fee, 10-week range review cut core SKUs by 46% while retaining 95% of revenue.
Automating order entry from inbox to ERP
A private-equity-backed European manufacturer of engineered wood products
A private-equity-backed European manufacturer of engineered wood products relied on a dedicated team to interpret and rekey emailed PDF orders into SAP by hand. QuantSpark built a generative AI pipeline that automates half of customer orders end to end.
Generative AI that turns days of government research into minutes
A UK government department
QuantSpark built a generative-AI research application for a UK government department, letting staff search, generate and summarise large volumes of international documents, resolutions and records. Work that once took up to 10 hours per query was reduced to minutes.
DataControl Platform: intelligent private equity data management
A mid-market private equity firm
DataControl Platform is QuantSpark's web application for PE firms: one place to collect, validate, visualise and sign-off portfolio data. One platform, one source of truth, fewer spreadsheets.
Building a private equity value-creation data stack with Chronograph
Chronograph
Returns now come from inside the portfolio company, not from cheap leverage. QuantSpark and Chronograph built a three-stage data stack that compresses portfolio monitoring from days to minutes and gives deal teams one live source of truth for every KPI.
Government department: 80% faster contract review with AI
UK central government department
A central government department was reviewing thousands of contracts manually for compliance with new procurement rules. We deployed ContractCube and reduced review time from weeks to hours.