Faculty Science Limited
UnclaimedFaculty 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/frontierAI Services
Comprehensive AI services to support organizations in adopting and implementing AI technologies effectively.
Pricing not published
faculty.ai/en-gb/ai-servicesFaculty Fellowship
Empowers STEM graduates to launch careers in applied AI through training and hands-on experience.
Pricing not published
faculty.ai/en-gb/fellowshipAI Safety & Governance
Ensure safe and reliable AI deployments with expert governance and tailored safety solutions.
Pricing not published
faculty.ai/en-gb/ai-safety-governanceAI Ethics & Safety
Ensures responsible AI adoption through the Four Pillars of Safety and dedicated governance.
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faculty.ai/en-gb/ai-ethics-safetyAI Training and Upskilling
Empower your workforce with tailored AI training to drive innovation and performance.
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faculty.ai/en-gb/ai-training-upskillingMarket segments
Market size by segment
Growth potential (CAGR)
AI governance and risk management
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
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
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
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 ValueConnected insights from Frontier enhance decision-making by ensuring that recommendations are aligned with business goals, leading to sustained value creation.
- Create Coherent Data ViewsIntegration allows teams to observe performance across the business in real-time, enabling deeper insights for informed decision-making.
- Transform Complexity to ActionThis structured methodology streamlines complex decision-making into clear, actionable steps, improving operational efficiency.
- Enable Comprehensive Decision-MakingThe platform facilitates iterative decision-making processes that are responsive to both global strategy and local conditions.
- Integrate Decision StrategiesBy embedding decision strategies within operational workflows, Frontier ensures actions are executed consistently, leading to improved overall performance.
- Facilitate Scalable GovernanceScalability 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 StrategyThrough expert guidance, clients learn to leverage AI innovations purposefully aligned with their strategic goals.
- Develop High-Performing AI SystemsWe focus on building bespoke AI systems that prioritize safety and high performance, tailored to unique client needs.
- Prioritize AI ResilienceOur comprehensive safety measures protect AI systems from potential vulnerabilities, ensuring reliability and trustworthiness.
- Enhance PerformanceWe ensure AI solutions are finely tailored to meet specific user requirements and operational needs, leading to improved user experiences.
- Facilitate Technology AdoptionWe emphasize training and support to help teams seamlessly integrate AI into their workflows, maximizing its benefits.
- Establish Robust FoundationsOur infrastructure services ensure that data handling and storage are optimal for deploying effective AI solutions.
- Ensure Operational ContinuityWe assist in maintaining AI systems post-deployment to ensure they continue to deliver value effectively.
- Informed Strategic DecisionsWe 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 LeadersFellows present their projects to key industry figures, enhancing visibility and networking.
- Gain Hands-On ExperienceFellows work directly with organizations, leading applied AI initiatives that provide practical insights.
- Ensure Career SuccessThe programme boasts a high employment rate, linking training directly to job placements.
- Collaborate With ExpertsFellows receive mentorship while tackling substantial projects affiliated with industry leaders.
- Acquire Practical SkillsParticipants gain essential knowledge to tackle real-life business scenarios using AI.
- Leverage Proven SuccessA 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 RisksCustom safety features are crafted to address unique risks identified in specific AI applications, ensuring robust operational integrity.
- Enhance Model ReliabilityRigorous assessments ensure models are interpretable and resilient, significantly lowering the probability of adverse consequences.
- Manage Deployment RisksEstablishes frameworks for ongoing oversight, ensuring that risks are continuously monitored and managed throughout the AI lifecycle.
- Ensure Safe DeploymentExpert recommendations help organizations navigate the complexities of deploying AI safely, maximizing effectiveness while minimizing potential pitfalls.
- Evaluate AI ModelsThis approach provides deep insights into model behavior under varied conditions, enhancing understanding of risks associated with AI deployments.
- Ensure Compliance with StandardsPartnerships 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 StandardsGuides the design and deployment of AI systems through a structured framework ensuring safety and accountability.
- Integrate Ethics in GovernanceRegular ethical assessments guarantee that AI projects align with ethical standards throughout their lifecycle.
- Protect User Data RightsEnsures that all AI systems adhere to strict data protection regulations, safeguarding user privacy.
- Maximize Ethical ComplianceEnsures 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 GrowthEquip top executives to use AI for transformative growth and performance enhancement.
- Align Governance With AIEnsure board members understand AI's strategic implications and governance requirements.
- Implement Effective AI GovernanceLearn strategies to oversee AI projects and mitigate risks effectively.
- Enhance Leadership With AI InsightsFoster informed decision-making in leadership roles through specialized AI training.
- Accelerate Technical ExecutionDevelop skills for effective implementation of AI technologies and solutions.
- Tailor Learning To Specific NeedsAddress 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).
- The AI-powered learning platform market is estimated to be valued at USD 6.5 billion in 2023.
- The Compound Annual Growth Rate (CAGR) of the AI in HR market is expected to be 27.6% from 2023 to 2030.
- The global AI training dataset market size was valued at USD 2260.27 million in 2023 and is expected to grow at a CAGR of 21.5%.
- Faculty Science Limited
- Faculty Frontier
- AI Services
- Faculty Fellowship
- AI Safety & Governance
- AI Ethics & Safety
- AI Training and Upskilling
- The global Governance Risk and Compliance GRC Platform Market was valued at USD 64.6 Bn in 2025
- Qatar AI Governance Market, valued at USD 560 million
- The global advanced analytics market size was valued at $69 billion in 2025... growing at a CAGR of 18.3% during the forecast period of 2026-2035.
- The Online Decision-making Software Market size is growing at a CAGR of 9.2% during the forecast period (2026 - 2033).
- The AI-powered learning platform market is estimated to be valued at USD 6.5 billion in 2023.
- The global AI training dataset market size was valued at USD 2260.27 million in 2023 and is expected to grow at a CAGR of 21.5%.
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