The short answer: These are three London-founded data consultancies that PE buyers regularly shortlist together, and they represent three distinct models. QuantSpark is an AI software consultancy serving multiple sectors, strongest when you want custom AI applications delivered quickly. JMAN Group (often written JMan) is the scaled PE data consultancy, 500-plus people across London, New York, and Chennai, strongest on large multi-workstream programmes. Data Vision Services is the senior boutique specialist, strongest when a fund or management team wants commercially curious analysts inside the business and data that holds up at exit. This guide compares all three across services, delivery model, proof, and price so you can match the firm to the job.
This comparison is published by Data Vision Services. It draws on public information as of July 2026 and aims to be factual and fair. Verify details directly with each firm before engaging.
The 2026 comparison table
| QuantSpark | JMAN Group | Data Vision Services | |
|---|---|---|---|
| Model | AI and analytics software consultancy | Scaled PE data consultancy | Senior boutique PE data consultancy |
| Founded | 2016 | 2010 | 2021 |
| PE focus | One vertical among several | Primary focus | Exclusive focus |
| Offices | London | London, New York, Chennai | London |
| Team size | Reported under 100 | States 600+ | Small senior team |
| Delivery | One UK team, strategy to software | Blended global model with Chennai engineering hub | Senior UK consultants on site |
| Signature offer | Rapid AI software; products incl. MeetingIQ, ContractCube | Lifecycle services: DD, value creation, reporting, exit prep; AI Readiness Assessment | Foundational Data, Commercial Analytics, Exit Preparation |
| Ownership | Independent | Baird Capital minority investment (2023) | Independent |
| Published proof | States 50+ PE-backed projects since 2015 | FY25 revenue £30.1m, +35%; FT-recognised six times | £4M+ ARR opportunity from one pricing analysis; ARR loss cut 79%; 3 to 12% NRR improvement |
QuantSpark: the AI software specialist
QuantSpark, founded by Adam Hadley in 2016, positions itself around speed from strategy to working software. One team of strategists, data scientists, and engineers helps clients decide what to buy, integrate, or develop, then ships AI and analytics applications in weeks. It has developed proprietary products including MeetingIQ for dealmakers and ContractCube for contract intelligence, and partnered with Chronograph, the PE portfolio monitoring platform, in 2024.
Private equity is one of several QuantSpark verticals alongside asset management, retail, SaaS, and the public sector; the firm states it has delivered more than 50 projects for PE-backed businesses since 2015. Its centre of gravity in 2026 is general AI software delivery rather than PE-specific analytics.
Strongest when: you know you need a custom AI application or product-style tool, and you want it live quickly.
Watch for: PE context is not the core of the model. If the deliverable must satisfy a fund board or an FDD team, probe the team’s transaction experience.
JMAN Group: the scaled PE specialist
JMAN, founded in 2010 by Anush Newman and Michael Leo Valan, is the largest firm in this comparison. It describes more than 600 people across London, New York, and Chennai, reports FY25 revenue of £30.1m with 35% like-for-like growth, and took minority investment from Baird Capital in 2023. Its services map to the PE lifecycle: due diligence, value creation, core reporting, data and AI advisory, and prep for exit. It states relationships with more than 150 PE funds and 400 portfolio companies, and has been named an FT Leading UK Management Consultancy six times.
JMAN’s blended global delivery model, with a substantial engineering hub in Chennai, is how it achieves scale and competitive blended rates on big programmes.
Strongest when: a fund needs standardised data work rolled out across many portfolio companies at once, or a global footprint matters.
Watch for: rapid scaling means junior-heavy delivery teams, and offshore engineering changes the day-to-day experience for a portco CFO. Public, engagement-level outcome numbers are relatively scarce; ask for quantified case studies at your deal size.
Data Vision Services: the senior boutique
Data Vision Services, founded in 2021, works exclusively with PE funds and their portfolio companies, typically mid-market businesses of £10m to £150m revenue. Three services cover the hold: Foundational Data (connected systems, one source of truth), Commercial Analytics (pricing, churn, retention, revenue quality), and Exit Preparation (bidder-ready data cubes and cleaned SaaS metrics, typically in eight to twelve weeks).
The model is senior and on the ground. Consultants with backgrounds at IBM, OC&C, Deloitte, KPMG, Strategy&, and Monitor Deloitte work in the client’s systems, alongside the client’s team. That proximity is why the firm keeps finding value nobody asked it to find: 1.5% of ARR leaking through unmapped invoicing gaps at an HR business; churn miscounting that was distorting a healthcare company’s exit narrative; a £4M+ ARR opportunity from a single pricing analysis. Published results include monthly ARR loss cut by 79%, board reporting compressed from five days to one hour, and a 3 to 4% NRR and GRR uplift on a pre-exit metrics clean-up.
Strongest when: you want senior specialists who get to know one business inside out, with every deliverable designed to survive FDD and strengthen the exit multiple.
Watch for: a deliberately small team means Data Vision Services suits focused, high-value engagements rather than hundred-person programme rollouts.
Head-to-head: the criteria that decide it
PE specialism. Data Vision Services is exclusive to PE. JMAN is primarily PE. QuantSpark serves PE as one vertical. If the work is judged by a fund board, specialism reduces translation cost and risk.
Seniority of delivery. Data Vision Services staffs senior by design. JMAN and QuantSpark both use larger, younger delivery teams, JMAN’s partly offshore.
Speed. QuantSpark markets software in weeks. Data Vision Services runs three-week diagnostics and eight-to-twelve week exit preparation. JMAN’s larger programmes run on longer arcs.
Proof. Data Vision Services publishes engagement-level numbers. JMAN’s proof is awards and firm growth. QuantSpark’s public case studies are largely anonymised.
Price. None of the three publishes rates. As a rule of thumb: offshore-blended models lower the day rate, senior boutiques lower the total hours and management burden, and custom software is priced to scope. Compare total cost against the valuation impact of the outcome.
How to run a three-firm shortlist
If all three make your longlist, run the comparison on evidence rather than chemistry. Give each firm the same one-page brief: the business, the data landscape, the commercial questions, and the timeline. Then ask each for three things.
First, a named team. The gap between the pitch team and the delivery team is the single most common source of consulting disappointment, and it widens with firm size. Second, a comparable engagement with a quantified outcome at your revenue scale: not a logo slide, an actual number. Third, a first-milestone commitment: what will you know after three weeks that you do not know now?
The answers tend to sort the firms quickly. Software firms anchor on features and sprint velocity. Scaled firms anchor on methodology and team structure. Specialists anchor on the commercial questions themselves, because they have answered them before at businesses like yours. Match the anchor to what your board will ask about in six months.
Which should you choose?
- Choose QuantSpark for custom AI software and productised tools, delivered fast, where deep PE context is secondary.
- Choose JMAN for scale: multi-portco rollouts, global delivery, and a large bench.
- Choose Data Vision Services for senior, commercially curious data work inside a PE-backed business, from foundational reporting through pricing and churn analytics to exit preparation that survives FDD.
Frequently asked questions
Are QuantSpark, JMAN, and Data Vision Services direct competitors? They overlap most on analytics for PE-backed businesses. QuantSpark competes from the AI software side, JMAN from the scaled services side, and Data Vision Services from the senior specialist side.
Which is best for exit preparation? Exit preparation is a named service at JMAN and a core specialism at Data Vision Services, which typically delivers bidder-ready data cubes and cleaned metrics in eight to twelve weeks. QuantSpark does not position exit preparation as a distinct offer.
Which is best for a fund-wide AI readiness push? JMAN publishes an AI Readiness Assessment and has the scale for portfolio-wide rollouts. Data Vision Services approaches AI readiness from the foundations: structured, deterministic, trustworthy data first, because AI on top of messy data compounds the mess.
What do they cost? None publishes pricing. Ask each for a scoped proposal against the same brief and compare total cost, team seniority, and the concrete outcome offered.
The bottom line
All three firms are credible; they are shaped for different jobs. Match the shape to the task: software from QuantSpark, scale from JMAN, and senior commercial specialists from Data Vision Services. For PE owners and management teams, one test cuts through: which partner’s work will be worth the most when the bidders open the data room? Everything Data Vision Services does is designed for that test. That is what drives your valuation at exit.