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Faculty Science Limited

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AI ConsultanciesServicesfaculty.aiLondon, England, United KingdomUpdated

Faculty is a UK-founded applied AI company delivering human-led AI solutions for governments and enterprises, with end-to-end services and governance-focused safety.

Overview

Faculty Science Limited is a UK-founded applied AI company that designs, builds, and deploys advanced AI systems for governments and enterprises. It focuses on helping organizations adopt AI safely and effectively, delivering end-to-end services spanning strategy, design, data and infrastructure preparation, development, deployment, operations, and governance. The company emphasizes four safety pillars—Fair, Robust, Explainable, Private—and applies rigorous governance to every system it builds. Faculty has delivered hundreds of real-world AI projects across health and care, defence, energy, financial services, insurance and public services, and supports capability-building and ethical considerations to maximise impact. Following the acquisition by Accenture announced in 2026, Faculty operates as part of a global technology services group.

Mission statement

To help organizations harness AI safely and effectively to deliver real-world impact.

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What we offer

Faculty Frontier

Accelerate decision-making and improve outcomes with Faculty Frontier's integrated insights.

Pricing not published

faculty.ai/en-gb/frontier

AI Services

Service

Comprehensive AI services to support organizations in adopting and implementing AI technologies effectively.

Pricing not published

faculty.ai/en-gb/ai-services

Faculty Fellowship

Service

Empowers STEM graduates to launch careers in applied AI through training and hands-on experience.

Pricing not published

faculty.ai/en-gb/fellowship

AI Safety & Governance

Service

Ensure safe and reliable AI deployments with expert governance and tailored safety solutions.

Pricing not published

faculty.ai/en-gb/ai-safety-governance

AI Ethics & Safety

Service

Ensures responsible AI adoption through the Four Pillars of Safety and dedicated governance.

Pricing not published

faculty.ai/en-gb/ai-ethics-safety

AI Training and Upskilling

Service

Empower your workforce with tailored AI training to drive innovation and performance.

Pricing not published

faculty.ai/en-gb/ai-training-upskilling

Market segments

Market size by segment

Growth potential (CAGR)

AI governance and risk management

10 Billion USD18% CAGR

Frameworks, policies, technical guardrails, readiness assessments, and training to ensure safe, compliant, and accountable AI deployment.

Products: AI Ethics & Safety, AI Safety & Governance

Decision intelligence platforms

4 Billion USD16% CAGR

Platforms that unify data, analytics, AI, and automation to design, simulate, execute, and continuously learn from enterprise decisions with auditable decision memory and governance.

Products: Faculty Frontier

AI product development and delivery

45 Billion USD25% CAGR

End-to-end professional services that scope, design, build, govern, and deploy production AI systems with defined roadmaps, talent sourcing, and ongoing delivery oversight.

Products: AI Services

AI training and workforce development

6.5 Billion USD27.6% CAGR

Capability-building programmes, fellowships, and customised learning for executives, technical leaders, and early-career researchers to accelerate adoption and responsible use of AI.

Products: AI Training and Upskilling, Faculty Fellowship

More information about our offering

Faculty Frontier

Faculty Frontier is the decision intelligence platform that helps organisations make better, faster decisions. It integrates with existing data sources and technologies to deliver connected insights and actionable recommendations, enabling evidence-driven decisions at scale. Built on the OUDA framework (Observe, Understand, Decide, Act), Frontier supports end-to-end decision loops and can be deployed directly into workflows and operational systems across the enterprise.

Pricing not published

  • Drive Clear Business Value
    Connected insights from Frontier enhance decision-making by ensuring that recommendations are aligned with business goals, leading to sustained value creation.
  • Create Coherent Data Views
    Integration allows teams to observe performance across the business in real-time, enabling deeper insights for informed decision-making.
  • Transform Complexity to Action
    This structured methodology streamlines complex decision-making into clear, actionable steps, improving operational efficiency.
  • Enable Comprehensive Decision-Making
    The platform facilitates iterative decision-making processes that are responsive to both global strategy and local conditions.
  • Integrate Decision Strategies
    By embedding decision strategies within operational workflows, Frontier ensures actions are executed consistently, leading to improved overall performance.
  • Facilitate Scalable Governance
    Scalability enables organizations to implement consistent, repeatable decisions while ensuring compliance with safety and governance standards.

AI Services

End-to-end support for your AI journey, including AI strategy, design, infrastructure, development, operations, and change, plus specialist services in AI due diligence and AI safety.

Pricing not published

  • Accelerate Your Business Strategy
    Through expert guidance, clients learn to leverage AI innovations purposefully aligned with their strategic goals.
  • Develop High-Performing AI Systems
    We focus on building bespoke AI systems that prioritize safety and high performance, tailored to unique client needs.
  • Prioritize AI Resilience
    Our comprehensive safety measures protect AI systems from potential vulnerabilities, ensuring reliability and trustworthiness.
  • Enhance Performance
    We ensure AI solutions are finely tailored to meet specific user requirements and operational needs, leading to improved user experiences.
  • Facilitate Technology Adoption
    We emphasize training and support to help teams seamlessly integrate AI into their workflows, maximizing its benefits.
  • Establish Robust Foundations
    Our infrastructure services ensure that data handling and storage are optimal for deploying effective AI solutions.
  • Ensure Operational Continuity
    We assist in maintaining AI systems post-deployment to ensure they continue to deliver value effectively.
  • Informed Strategic Decisions
    We provide assessments that enhance decision-making regarding AI investments based on readiness and potential.

Faculty Fellowship

The Faculty Fellowship is a UK-leading programme for exceptional STEM and PhD graduates and researchers who want to pursue careers at the frontier of applied AI. The programme combines two weeks of intensive training, an eight-week paid placement, and a Demo Day finale, with Fellows solving real work problems for host organisations.

Pricing not published

  • Showcase Work To Leaders
    Fellows present their projects to key industry figures, enhancing visibility and networking.
  • Gain Hands-On Experience
    Fellows work directly with organizations, leading applied AI initiatives that provide practical insights.
  • Ensure Career Success
    The programme boasts a high employment rate, linking training directly to job placements.
  • Collaborate With Experts
    Fellows receive mentorship while tackling substantial projects affiliated with industry leaders.
  • Acquire Practical Skills
    Participants gain essential knowledge to tackle real-life business scenarios using AI.
  • Leverage Proven Success
    A demonstrated history of impactful projects underscores the programme's effectiveness.

AI Safety & Governance

AI Safety & Governance provides end-to-end safety and governance services to ensure AI deployments are safe, robust and explainable, with risk mitigation built into the development lifecycle.

Pricing not published

  • Mitigate Specific Risks
    Custom safety features are crafted to address unique risks identified in specific AI applications, ensuring robust operational integrity.
  • Enhance Model Reliability
    Rigorous assessments ensure models are interpretable and resilient, significantly lowering the probability of adverse consequences.
  • Manage Deployment Risks
    Establishes frameworks for ongoing oversight, ensuring that risks are continuously monitored and managed throughout the AI lifecycle.
  • Ensure Safe Deployment
    Expert recommendations help organizations navigate the complexities of deploying AI safely, maximizing effectiveness while minimizing potential pitfalls.
  • Evaluate AI Models
    This approach provides deep insights into model behavior under varied conditions, enhancing understanding of risks associated with AI deployments.
  • Ensure Compliance with Standards
    Partnerships with prestigious labs help reinforce the safety and efficacy of AI models in real-world applications.

AI Ethics & Safety

AI Ethics & Safety focuses on the Four Pillars of AI Safety—Fair, Robust, Explainable, Private—and includes governance processes and an Ethics Panel to ensure responsible AI practice.

Pricing not published

  • Implement Safety Standards
    Guides the design and deployment of AI systems through a structured framework ensuring safety and accountability.
  • Integrate Ethics in Governance
    Regular ethical assessments guarantee that AI projects align with ethical standards throughout their lifecycle.
  • Protect User Data Rights
    Ensures that all AI systems adhere to strict data protection regulations, safeguarding user privacy.
  • Maximize Ethical Compliance
    Ensures that ethical considerations are systematically evaluated in project decisions.

AI Training and Upskilling

Capability-building programs to upskill leaders, technical experts, and decision-makers with customised learning, including executive workshops for the C-suite and boards, senior leaders, and tech leaders.

Pricing not published

  • Shape AI Strategy For Growth
    Equip top executives to use AI for transformative growth and performance enhancement.
  • Align Governance With AI
    Ensure board members understand AI's strategic implications and governance requirements.
  • Implement Effective AI Governance
    Learn strategies to oversee AI projects and mitigate risks effectively.
  • Enhance Leadership With AI Insights
    Foster informed decision-making in leadership roles through specialized AI training.
  • Accelerate Technical Execution
    Develop skills for effective implementation of AI technologies and solutions.
  • Tailor Learning To Specific Needs
    Address unique challenges and opportunities in AI across different sectors.

Sources

Methodology and sourcing behind the figures and links shown above.

AI governance and risk management

Estimates use the global GRC platform market (CMI) as an upper-bound proxy and a published country-level AI governance estimate to validate scale. CMI reports the global Governance, Risk & Compliance (GRC) platform market at USD 64.6B in 2025 with a 13.2% CAGR; AI governance/risk management is a focused subset (frameworks, technical guardrails, assessments, training) so I assume ~15% share of GRC in 2025 → ~USD 9.7B (rounded to USD 10.0B). Given heightened regulatory attention, rapid enterprise AI adoption, and professional services demand, AI-governance is expected to grow materially faster than broader GRC; I apply an uplift versus the CMI GRC CAGR (13.2%) to arrive at an estimated CAGR of ~18% for this segment.

Decision intelligence platforms

Estimate based on the decision-intelligence segment as a niche subset of the broader advanced analytics and online decision-making software markets found in the search results. Acumen reports the global advanced analytics market at $69B (2025) with an 18.3% CAGR (2026–2035); online decision-making software is forecast at a 9.2% CAGR (2026–2033). Treating decision intelligence platforms as roughly 5–7% of the advanced analytics market (prescriptive/decisioning portion and related tooling) yields an estimated market size near $3.5–4.8B, so a rounded estimate of $4.0B is used. Growth potential is positioned between the cited software CAGR and advanced-analytics CAGR given DI’s strong AI tailwinds and narrower base; an estimated CAGR of ~16% reflects faster adoption than generic decision software but slightly below full advanced-analytics expansion.

AI product development and delivery

Search results provided no explicit market-size or CAGR data for "AI product development and delivery." Using internal market hierarchy knowledge: total enterprise AI spending (software, hardware, services) in the mid‑2020s is in the low hundreds of billions USD; implementation and professional services typically represent a meaningful share of that spend. Estimating that end‑to‑end AI product development and delivery (scoping, design, build, governance, deployment, talent & delivery oversight) comprises a subset of AI professional services (~20–30% of total AI services/implementation spend) yields an approximate market size of ~$40–50B today (rounded to $45B). Growth potential is high given continued enterprise AI adoption, cloud/MLOps expansion, and rising demand for productionization and governance; a mid‑range CAGR estimate of ~25% reflects rapid but sustainable professional‑services uptake.

AI training and workforce development

Estimate uses AI-powered learning-platform and AI-in-HR figures as the closest proxies for AI training and workforce-development services. Statista/aggregated data cite the AI-powered learning platform at USD 6.5B (2023). Grand View/AI-in-HR projections show a 27.6% CAGR to 2030; an adjacent AI training-dataset market is ~USD 2.26B (2023) with ~21.5% CAGR. These sources indicate current market scale ~USD 6–7B and high growth potential (~25–28% CAGR).

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