SaaS & Technology
AI that protects revenue and compounds growth
Churn you can see coming, conversion you can lift, and a data platform the board can actually read. Built for SaaS and technology businesses, including regulated and life-sciences software.
Free diagnostic, three minutes. No follow-up unless you ask.
Built around the metrics that decide a software business
The four places SaaS and technology companies ask us to start, each drawn from work we have already delivered.
Churn prediction and retention
Machine-learning models that focus retention effort on the accounts most likely to leave. One predictive renewals programme is projected to add up to $30m a year in retained revenue; another identified likely churners four times more accurately than random selection, supporting an estimated £1m-plus in EBITDA.
Segmentation and conversion
Behavioural segmentation and lead prioritisation that lift the odds of converting a user to a paying customer. A bespoke segmentation suite raised conversion probability by 30 per cent for an online marketplace.
Data platforms and self-service BI
Data cubes, lakehouses and BI that give the board a single view of subscriptions, usage and marketing. We have automated manual reporting to save 1.5 full-time equivalents and consolidated siloed sources for fast-growing platforms.
AI strategy and roadmaps
Short, governance-aware discovery that sequences where AI pays back first. We delivered a four-week roadmap to defend a data moat against generative-AI commoditisation, and a ranked AI opportunity map for a regulated research business.
Sub-vertical
Clinical research and life sciences
Research organisations and healthcare software carry heavy regulatory and manual overhead, and reward AI that respects both. Our work here spans commercial growth, unified reporting and governance-aware AI adoption.
- $120M+
Incremental revenue projected for a clinical research organisation, after a generative-AI lead-scoring system cut outreach from weeks to minutes.
- 4 weeks
A ranked, governance-aware AI roadmap for a global specialist contract research organisation carrying heavy manual overhead.
- Unified BI
Performance visibility across the portfolio for a global healthcare SaaS provider, so decisions run on one shared set of numbers.
Work in SaaS and technology
Specific engagements, specific results. Anonymised by agreement where the client asked for it.
Generative AI-Enabled Lead Scoring Drives $120M+ Revenue for Clinical Research Organisation
Clinical Research Organisation
QuantSpark modernised a Clinical Research Organisation's deal origination with a GenAI-augmented lead scoring system, reducing outreach time from weeks to minutes and projecting over $120M in increme…
Customer segmentation analytics suite lifts conversion probability by 30%
An online marketplace platform
How a bespoke customer-segmentation and analytics suite gave an online marketplace the insight to lift its probability of converting users to paying customers by 30%.
Global Healthcare SaaS Provider Achieves Unified BI for Strategic Growth
Global Healthcare SaaS Provider
QuantSpark's Business Intelligence solution transformed a global healthcare SaaS provider's performance visibility, enabling data-driven decisions and unlocking growth potential across its portfolio.
Data engineering diagnostic and roadmap for a B2B switching service
A B2B switching service for energy, telecoms and insurance
A fast-growing B2B switching service needed an objective assessment of its data engineering stack to reduce key-person risk and support a shift to real-time, personalised customer experiences.
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.
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.
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.
Predicting renewals and reducing churn at scale
Enterprise cyber security software provider
A large cyber security software provider had seen churn creep up to nearly 8%, well above the SaaS benchmark. QuantSpark's predictive renewals approach is projected to add up to $30m a year by lifting gross retention.
An AI roadmap to defend a data moat against generative AI commoditisation
A leading data-centre market-intelligence provider
A leading provider of data-centre market intelligence faced the erosion of its proprietary data moat as generative AI commoditises data synthesis. QuantSpark delivered a four-week AI strategy and roadmap sequencing the shift from data provider to decision platform.
Building data cubes across subscriptions, usage and marketing for a SaaS business
A private-equity-backed SaaS business
A private-equity-backed SaaS business gained a single view of subscriptions, product usage and marketing through three purpose-built data cubes and self-service dashboards.
Predictive churn model drives over £1m in EBITDA
Private equity-backed accounting and HR software provider
A software provider wanted to focus retention effort on its highest-risk customers. QuantSpark's machine-learning model identified likely churners four times more accurately than random selection, supporting an estimated £1m-plus in EBITDA.
Proof, not promises
Incremental revenue projected for a clinical research organisation, through generative-AI lead scoring
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.
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.
Readiness Diagnostic
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
AiRE Diagnostic
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
First Agent
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
AiRE Rollout
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
Labs Discovery
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
Labs Build
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
Every project is scoped individually. Book a discovery call and we will provide a detailed proposal within 48 hours.
Start with the honest read
Three minutes, ten questions, no follow-up unless you ask. Or talk to a human first.