As interest rates rise and valuations tighten, the traditional private equity playbook is reaching its limit. In this article for Fintech Weekly, Chris Culbert, Principal at JMAN Group, explores the rise of small, adaptive data science teams that embed directly into portfolio operations to bring value at transactional depth to the surface. These are the teams that Chris dubs “AI hyenas”, and they play a key role in how the industry is evolving. The article deep-dives into how these teams move beyond simple analytics to fundamentally redistribute agency and authority within the firm.

In this article you will learn:

• Why precision inside the portfolio now matters more than capital structure alone.
• How embedded, adaptive “AI hyena” teams detect variance and pricing power that traditional reviews overlook.
• Why the future of private equity lies in allocating decision rights between human judgement and system-generated signals.

Click below to read the full article.

The private equity landscape is shifting from backward-looking financial modeling to real-time, predictive intelligence. A recent article in Forbes features Christian Davis (Partner at JMAN Group) as an expert witness on the strategic necessity of embedding AI across the entire investment lifecycle. From deal sourcing to exit planning, the integration of machine learning and natural language processing is cemented as a competitive requirement for the next generation of industry leadership.

In this article you will:

• Discover how predictive analytics models thousands of real-world variables to uncover patterns invisible to traditional analysis.
• Learn how live risk dashboards allow investors to dynamically assess exposure as macroeconomic and geopolitical conditions evolve.
• Understand why data integrity and ethical frameworks are the essential foundations for trusting AI-driven outputs.

Click below to read the full Forbes article.

The era of manual processes in private equity is over. In an exclusive feature for FinAI News, Molly Buxton, Principal at JMAN Group, joins other industry leaders to discuss the transformative power of AI in the sector. From automating manufacturing operations to accelerating due diligence, the deployment of specialized AI teams is the new standard for driving bottom-line growth.

Over recent months, the strategic use of partnerships and internal data teams has created a massive divide between those who embrace automation and those who remain tethered to traditional 100-day plans.

In this article, you will:

• Learn how AI experts are uncovering efficiencies in portfolio company pricing, supply chains and customer churn.
• Gain insights into using AI for deal sourcing and scanning for regulatory “red flags” during diligence.
• Find out why structured analytical and drafting tasks are seeing productivity boosts of 10% to 40%.

To read the full article, click below.

Driven by the rapidly-growing presence of JMAN Group in the US, industry publication Megabuyte caught up with Anush Newman and Richard Cowen, CEO and CFO respectively of JMAN Group, for an inside look at a landmark year.

In this exclusive update, the author ​​Jonty Lagden explores how the business has achieved a string of successes. Hitting a £30.1m revenue milestone, JMAN Group sits in the top quartiles for Organic Growth, Revenue CAGR, and EBITDA margin, reporting a Megabuyte Scorecard rating of 61, against an IT Consulting peer group average of 47.

As Anush and Richard told Megabuyte, the growth is thanks to JMAN Group’s unique blended delivery model and deep-rooted partnerships within the Private Equity sector. This has enabled the company to meet the continued demand for data engineering, analytics and AI delivery across PE-backed portfolio companies. 

With a global team now at more than 600 experts across London, New York and Chennai, plus investment from Baird Capital, JMAN is outperforming peer group averages and setting a high bar for data engineering and machine learning consultancy.

The article also covers: 

• How a vendor-agnostic approach to data and AI is driving 35% like-for-like revenue growth.
• Insights into how JMAN Group maintains top-quartile margins while expanding its international footprint.
• Why long-term engagements with portfolio companies are the engine behind a projected £40m+ turnover for FY26.

To read the full article, click the link below.

In the world of data and AI, legal can’t be an after-the-fact function. As JMAN scales at the intersection of private capital and technical innovation, General Counsel, Sara Mackie is transforming legal from a fragmented effort into a robust architectural discipline.

In a Corporate Counsel Business Journal blog, Sara explains how she has built a legal function designed for velocity, accountability and durability, from managing cross-border data responsibilities to navigating the evolving landscape of AI regulation.

In this blog, you will learn:

• Legal as Architecture, Not Just Policy: In high-growth, tech-driven environments, the legal function must be “built” to scale alongside engineering and consulting teams.
• Velocity through Governance: Creating clear internal frameworks for legal means firms move faster with durable processes.
• AI Pragmatism: Human judgment and robust governance must keep pace with technical innovation to ensure accountability.

Click below to read the full blog.

In the latest feature for PitchBook News, experts across private equity argue that 2026 is the year of “necessity and survival” for artificial intelligence in the industry.

While many firms remain in the early stages of exploration, Anush Newman, CEO and founder at JMAN Group, highlights the urgent need for GPs to move beyond concept and into consistent, value-driven execution. From supporting portfolio companies to securing future reinvestments from LPs, this article outlines the essential roadmap for the year ahead.

Key learning outcomes:

• Portfolio foundations: Why GPs must be more insistent and consistent in helping portfolio companies lay the groundwork for data and AI.
• The cost of inaction: Understanding why delaying AI investment will erode firm value much faster than the upfront cost of experimentation.
• LP expectations: How transparency, speed and accuracy in data reporting are becoming as critical as financial returns for modern allocators.

To read the full article, click below.

The “triple-whammy” of high debt, energy costs and wage inflation is ending the era of low-productivity “zombie” firms. Featured in The Times, Anush Newman, co-founder and chief executive officer of JMAN Group, explains why data is now the ultimate tool for “creative destruction” and sustainable growth.

Whether you are navigating a new acquisition, seeking operational efficiency, or preparing for a high-stakes exit, this article outlines the roadmap for commercial success in a tougher landscape.

Key learning outcomes:

• Bridging the data gap: Why many firms struggle to replicate “shiny” investment figures post-acquisition and how to fix it.
• Driving organic growth: Using AI and data signals to acquire the right customers and reduce churn.
• Mastering the exit: How to use data-led storytelling to prove your success was deliberate to skeptical buyers.

Click below to read the full article.

After two years of difficult market conditions, PE exit activity is recovering, but the era of selling based purely on headline growth is over. Today, data underpins every credible value story, yet according to a recent study by EY, 72% of respondents cited access to comprehensive data and KPIs as their biggest exit challenge. 

In a must-read article for Funds Europe, Anush Newman, CEO and Co-founder of JMAN Group, outlines the cultural and infrastructure shift required to treat data as a strategic management asset, proving the long-term viability that turns cautious buyers into confident investors. 

In this article, you will learn: 

• Which granular metrics (such as CAC:LTV and support resolution times) are necessary to bring operational efficiency to life. 
• How to prove sustainable growth potential through customer cohort performance and cost-to-serve ratios. 
• Why building a robust data foundation is essential for integrating AI and securing a higher valuation post-acquisition. 

Artificial Intelligence (AI) is actively reshaping the culture of investment and redefining the art of the possible. In a Private Equity landscape of rising asset prices and fierce competition, the traditional reliance on intuition and experience is becoming increasingly risky. 

Writing for Crunchbase, Christian Davis, Associate Partner at JMAN Group, explores how AI is becoming a transformative force in investment management. He details the shift from instinct-based decisions to a new standard of factual, data-driven analysis that is critical for success. 

In this article, you will learn: 

• Why the most successful firms are moving beyond traditional methods and shifting their culture to where high-resolution, data-backed analysis underpins every decision.
• How AI enables firms to harness data through the business lifecycle to craft compelling equity narratives, accelerate performance, monitor portfolio companies and secure stronger exit valuations.
• How AI is democratizing access to advanced analytics, creating a new divide between the “haves” and “have-nots” and offering a significant competitive advantage for innovators. 

To gain a deeper understanding of this new frontier, click below to read the full article.

Today’s private equity landscape is dealing with the challenges of geopolitical uncertainty, economic caution and longer holding periods. Simply showcasing impressive top-line growth is no longer sufficient: the most critical asset for businesses seeking a successful and lucrative exit is data. 

In an exclusive article for WealthBriefing, Anush Newman, CEO and co-founder at JMAN Group, outlines how investors are scrutinizing a much wider range of metrics to build a holistic picture of a company’s performance, from customer loyalty to operational efficiency. This shift requires a cultural change within businesses, where data is viewed as a strategic priority, not just an IT or finance function. 

In this article, you will discover: 

• Why the traditional “data cube” has evolved into a scalable “data asset” that works long after acquisition. 
• The three key pillars a firm must demonstrate through data to build a compelling value story: operational efficiency, scalability, and long-term viability. 
• How businesses can leverage their existing data to not only secure a successful exit but also to capitalize on the value that AI can bring. 

Click below to read the full article and transform your approach to data.