Attercop

Real AI. Real Results. Real ROI.

From PE firms to portfolio companies, from life sciences to professional services - see how we've delivered production AI systems that drive measurable value.

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PE Firms Served
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Proven Impact Across the Investment Lifecycle

Attercop is a knowledge-first AI consultancy specialising in delivering production-ready AI systems for private equity firms and their portfolio companies. With decades of experience deploying scalable AI solutions, we combine deep technical expertise with a practical understanding of PE timelines and value creation imperatives.

Our approach is rooted in a thesis-based methodology, ensuring every AI project is driven by clear, measurable business outcomes. From strategic AI roadmaps to full-scale engineering implementations, we bridge the gap between cutting-edge AI capabilities and commercial impact.

This document highlights selected examples of our work across three core areas:

  • AI Strategy: Developing actionable roadmaps, accelerating acquisitions, and conducting technology assessments
  • AI Engineering: Building knowledge graphs, enabling AI transformation, and delivering regulatory-compliant systems
  • AI & Data Tech Due Diligence: Rigorous technical assessments to inform investment decisions and de-risk acquisitions

Each engagement demonstrates our ability to deliver real-world results within aggressive timelines, ensuring AI becomes a driver of growth, efficiency, and competitive advantage.

AI Strategy

Strategic roadmaps, acquisition acceleration, and technology assessments that drive investment decisions

AI Strategy

Developing a Strategic AI Roadmap

A PE-backed software-as-a-service (SaaS) company aimed to integrate AI capabilities to drive product innovation and maintain competitive advantage. The challenge was to create a clear, actionable AI strategy aligned with business objectives and identify high-impact opportunities for AI-driven growth.

✓Attercop conducted a comprehensive analysis of the company's existing capabilities and market position
✓Identified three high-impact AI use cases, including predictive analytics, recommendation engines, and automated customer support
✓Developed a phased 18-month AI roadmap, including technical requirements, resource allocation, and go-to-market strategies
✓Built a defensible moat within their target vertical around their data and ML capabilities
✓AI-driven features contributed to a 25% increase in customer retention and opened new revenue streams, adding significant value ahead of a planned exit
AI Strategy

Accelerating the Commercial Integration of an Acquisition

A PE firm acquired a promising AI technology company with strong scientific foundations but slow commercial traction. The portfolio company needed to accelerate market entry and demonstrate value to stakeholders within an aggressive timeline.

✓Attercop worked closely with the leadership team to assess the technology's market fit and refine the commercial strategy
✓Streamlined the product development process, focusing on features with the highest customer impact and revenue potential
✓Enabled the integration of the acquisition's AI capabilities into other portfolio companies, creating cross-portfolio synergies
✓The acquisition achieved commercial milestones six months ahead of schedule, generating immediate value across the portfolio and reinforcing confidence in the investment thesis
AI Strategy

Technology Assessment to Support an Investment Thesis

A PE firm was evaluating the acquisition of a machine learning-powered analytics platform. They required an independent, expert assessment of the target company's technology stack, team capabilities, and scalability to inform their investment decision.

✓Attercop conducted a rigorous technical due diligence, reviewing code quality, data infrastructure, and algorithmic robustness
✓Identified key risks, including reliance on outdated frameworks and gaps in the data science team, along with mitigation strategies
✓Provided a clear assessment of the technology's scalability and long-term viability, enabling the PE firm to negotiate more favourable terms
✓Post-acquisition, Attercop supported the implementation of recommended improvements, ensuring the company met its growth targets

AI Engineering

Production-ready systems delivering measurable impact within 100-day timelines

AI Engineering

Building a Knowledge Graph to Unlock Insights

A PE-backed legal technology company sought to differentiate its platform by enabling more intelligent search and case recommendations. Traditional keyword-based search was insufficient for the complexity of legal data.

✓Attercop designed and implemented a knowledge graph that captured relationships between legal cases, statutes, and entities
✓Integrated the knowledge graph with the company's existing platform, enabling semantic search and context-aware recommendations
✓Enhanced user engagement, with customers reporting a 40% reduction in research time and improved decision-making outcomes
✓The knowledge graph became a key differentiator in a competitive market, contributing to a successful Series B funding round at a higher valuation
AI Engineering

AI Enablement of a Professional Services Firm

A professional services firm within a PE portfolio wanted to embed AI across its operations to improve efficiency and deliver greater value to clients. However, the firm lacked in-house AI expertise and needed a partner to drive the transformation.

✓Attercop worked with the firm to identify high-value AI applications, including document automation, client insights, and predictive analytics
✓Deployed production-ready AI systems within 100 days, integrated seamlessly into the firm's workflows
✓Provided training to upskill the firm's teams, ensuring sustainable adoption and ongoing optimisation
✓AI-driven efficiencies saved an estimated 15% in operational costs annually whilst improving client satisfaction scores, enhancing the firm's competitive position ahead of exit
AI Engineering

Emotion Sensing Technology: Inception to Class IIa Medical Device

A life sciences company aimed to develop an emotion sensing technology for mental health applications, requiring robust AI models, regulatory compliance, and validation for use as a Class IIa medical device.

✓Attercop led the development of machine learning models to analyse physiological and behavioural data for emotion detection
✓Ensured compliance with medical device regulations, including rigorous testing, validation, and documentation
✓Supported clinical trials and produced peer-reviewed publications to establish credibility and support market entry
✓Successfully achieved Class IIa certification, positioning the company as a leader in digital therapeutics and unlocking partnerships with major healthcare providers

AI & Data Technology Due Diligence

Rigorous technical assessments de-risking acquisitions and informing investment theses

Tech Due Diligence

AI and Data Technology Due Diligence on a Radiology Technology Company

Comprehensive technical assessment of an AI-powered radiology platform to inform investment decision and identify value creation opportunities.

✓Rigorous evaluation of AI model architecture, training data quality, and clinical validation
✓Assessment of regulatory compliance pathway and market positioning
✓Clear identification of technical risks and mitigation strategies
✓Detailed post-acquisition roadmap for technology enhancement and market expansion
Tech Due Diligence

AI and Data Technology Due Diligence on a Bioinformatics and Diagnostics Company

Deep technical evaluation of a bioinformatics platform combining next-generation sequencing with machine learning for diagnostic applications.

✓Comprehensive analysis of data pipelines, algorithmic approaches, and computational infrastructure
✓Evaluation of IP portfolio strength and competitive differentiation
✓Assessment of clinical validation status and regulatory pathway
✓Strategic recommendations for technology development and commercial acceleration

Delivering Value Across the Portfolio

100

Days to Production

Rapid deployment timelines that match PE value creation plans

25%+

Efficiency Gains

Measurable operational improvements driving EBITDA growth

3x

Average ROI

AI investments that deliver clear returns and support exit multiples

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