Valliance raises £11m to scale value-based AI consultancy for enterprises
This article covers Valliance, an AI-native consultancy, launching with private equity backing from Siguler Guff and Company, LP in an £11m investment round. The firm aims to replace time-based billing with value-based fees to help large enterprises convert AI investment into measurable production value, targeting enterprise clients and consultancy-led AI projects.
Valliance has launched as an AI-native consultancy aiming to change how large companies capture value from artificial intelligence. The founders say the firm will move away from billable hours and towards value-based fees, addressing what they describe as persistent failures in legacy consultancy models that leave enterprises with expensive projects and limited measurable returns.
Why it matters
A survey cited by Valliance of 1,000 senior leaders at large UK enterprises (those with annual tech spend over £20m) suggests most organisations are increasing AI investment while struggling to convert work into business outcomes. The release highlights several headline findings: 90% of respondents are accelerating AI spend, 21% of that investment is paid to external consultancies, and about half of consultancy-led AI projects fall short of expectations.
The survey data is used to sketch a market problem at scale. Respondents reported average AI spends of £39.2m in the last year, with consultant fees representing roughly £8.4m per business. Valliance extrapolates this to 8,335 large UK enterprises and estimates a national AI bill of around £325bn, with more than £65bn spent on consultancies. Only 45% of projects reportedly had metrics set from the outset, leaving many programmes difficult to evaluate.
The company frames these figures as evidence that traditional consultancy practices are driving up AI project costs while delivering limited production-ready value.
Inside the product
Valliance is positioned as "AI native by design". Its stated commercial model replaces time-based billing with value-based fees, where clients pay when value is realised in live systems rather than for billable hours or large advisory engagements. The team emphasises system architecture, data, and product design skills intended to work with existing IT estates and to move pilots into production.
The founding roster includes expertise in digital transformation, data strategy and composable architecture. Valliance says it has assembled a core team of 15 specialists and has already signed three clients, without disclosing their names.
Founder perspective
In the announcement, Tarek Nseir, Co-founder at Valliance, said:
Advice from traditional consultancies is never impartial. You don’t know if the guidance you’re being given is right for your business, or theirs. And they lack the skills and expertise to really understand the AI revolution, you're effectively paying for their transformation while trying to navigate your own. Valliance will always be independent. Our team of experts has a single aim: to help businesses reduce time to AI value. We’re not here to sell licenses, we're here to deliver solutions that work for business, and with the existing IT estate.
In the announcement, Rad Parvin, Co-founder at Valliance, said:
We’re not here to sell customers a dream on paper before skating away. We believe in shared success, and that means shared investment of our time. Customers pay us when we’ve created value in live, no billable hours, no bloated teams. Just a focus on the end goal and how we can implement AI to get our clients there.
In the announcement, Anita Rajdev, Co-founder at Valliance, said:
Enterprises are under increasing pressure to realise measurable returns on their AI investments, and legacy models built around billable hours simply aren’t fit for that purpose. Valliance’s value based approach and technical depth align well with how the market must evolve. We have strong conviction in the team’s ability to scale both organically and through acquisition, establishing Valliance as the platform of choice for AI consulting.
The founders’ prior work is used to signal capability. Tarek Nseir is cited as founder of TH_NK and as having led work for clients including ASOS, Allianz and Aston Martin. Rad Parvin is noted as founder of Just BI with experience building global data strategies for brands such as Nike, Shell, Heineken and Vodafone. Anita Rajdev is described as a commercial leader who shaped deals for EPAM Systems and Gemalto. The team also includes Dom Selvon, associated with the composable architecture movement and the MACH Alliance.
Who’s backing the round
Valliance launched with private equity backing from Siguler Guff and Company, LP. The investment round totals £11,000,000. Shaun Khubchandani and Justin Eskind from Siguler Guff have joined Valliance’s board, and the company says Stephen Treloar, who has held senior roles at Aviva and Allianz, will act as an adviser.
In the announcement, Shaun Khubchandani, Investor at Siguler Guff, said:
Enterprises are under increasing pressure to realise measurable returns on their AI investments, and legacy models built around billable hours simply aren’t fit for that purpose. Valliance’s value based approach and technical depth align well with how the market must evolve. We have strong conviction in the team’s ability to scale both organically and through acquisition, establishing Valliance as the platform of choice for AI consulting.
If you're researching potential backers in this space:
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The bigger picture
Valliance is entering a crowded advisory market at a moment when UK enterprises are expected to rationalise AI spend and push for measurable returns. Its value-based commercial model responds to broader critiques of consultancy economics in AI: long advisory engagements, slow productionisation and a lack of agreed metrics.
The firm’s approach also points to a trend worth watching in the UK and Europe: investors placing private capital behind specialised services businesses that combine technical delivery and commercial alignment rather than purely software plays. Whether Valliance can demonstrate faster time-to-value at scale will be a practical test of whether alternative consultancy models can reduce waste and deliver measurable returns for enterprise AI.
This launch ties into wider ecosystem debates about productivity, procurement and the role of advisory firms in national AI adoption. If the market demand for outcome-aligned services grows, expect more startups and investors to pursue similar value-oriented models.
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