Sustainable AI Statement
Our commitment to responsible environmental stewardship in AI development
At Ingenaium, we recognize that artificial intelligence-especially large language models (LLMs)-can have a significant environmental impact. We do not operate our own data centres; we run workloads on public cloud providers and use AI models and services supplied by other organisations, including hyperscalers. We are committed to using those services responsibly, with a clear focus on sustainability. Our goal is to minimise emissions and resource use within our control, choose providers and usage patterns thoughtfully, and ensure that our work supports a healthier planet. We continue to build sustainability into the Ingenaium platform and its AI agents: stronger observability and reporting, and the ability to change behaviour and prioritise options alongside performance, cost, and safety when sustainability should come first. Sustainability is essential to our values, our operations, and the future of AI.
Our principles
- Environmental responsibility - minimizing impact at every stage
- Emissions reduction - monitoring and lowering impact from our cloud and AI usage
- Energy efficiency - right-sizing workloads and model choices against performance and footprint
- Transparency - open communication about efforts, metrics, and challenges
- Continuous improvement - regular review and enhancement of our practices
Questions about sustainability or this statement? Contact us at hello@ingenaium.ai.
Table of contents
- Introduction
- Our principles
- Practical actions
- Governance
- Continuous improvement
- Transparency
- Regulatory compliance
- Contact and feedback
- Review and updates
- Our promise
- About this statement
Introduction
At Ingenaium, we recognize that artificial intelligence-especially large language models (LLMs)-can have a significant environmental impact. We do not own or operate data centres. We deliver our services using infrastructure and platforms from cloud providers (including hyperscalers) and we rely on AI models and APIs from third-party vendors rather than training and hosting large foundation models ourselves.
That means much of the energy use and emissions associated with our AI activity sits with our suppliers. We take sustainability seriously by how we architect solutions, select and contract with providers, configure and monitor usage, and engage with their environmental disclosures and roadmaps. We are committed to transparency about that model, to continuous improvement in our choices, and to keeping sustainability central to how we work with AI.
We also invest in our own product: we continue to embed sustainability in the Ingenaium platform and in the AI agents we ship, so operators get clearer observability and reporting on usage and environmental signals (where providers and integrations make that possible), and so teams can adjust configuration and prioritise more sustainable paths (for example model choice, region, batching, or workflow) when that aligns with customer requirements.
Our principles
Environmental responsibility
We design, develop, and deploy AI systems with a commitment to minimising environmental impact at every stage we influence, including how we use third-party cloud and model services, not only our own code and workflows.
Emissions reduction
We work to understand and reduce the greenhouse gas footprint of our AI activity, focusing on inference, fine-tuning, evaluation, and related compute that we run via cloud providers, and on the upstream impact of the foundation models and APIs we adopt from other organisations.
Energy efficiency
We optimise how we use provider infrastructure and third-party models: efficient prompts and pipelines, appropriate model tiers, caching and batching where suitable, and avoiding unnecessary compute, so we balance performance with energy and emissions across the stack we actually operate.
Transparency
We openly communicate our sustainability efforts, environmental metrics, and the challenges we face.
Continuous improvement
We regularly review and enhance our sustainability practices, learning from new research, stakeholder feedback, and industry developments.
Practical actions
- Track and review our cloud and AI service usage (regions, services, and spend patterns as proxies where granular energy data is not available) to spot waste and over-provisioning.
- Prefer cloud regions and services where providers publish stronger carbon transparency or renewable-energy commitments, where that aligns with security, latency, and client requirements.
- Select and design around third-party models and APIs for fit-for-purpose performance, avoiding oversized models or redundant calls when a smaller or more efficient option meets the need.
- Optimise application and integration design (caching, batching, async processing, right-sized compute) to reduce unnecessary inference and background workloads on shared infrastructure.
- Evaluate vendors (cloud hyperscalers, model providers, and critical SaaS) on their environmental policies, reporting, and roadmaps as part of procurement and ongoing relationship management.
- Conduct environmental impact reviews for major projects, including reliance on supplier disclosures and lifecycle perspectives where we do not control physical infrastructure.
- Continue to build sustainability into the Ingenaium platform and its AI agents: improve observability and reporting on AI and cloud usage (and carbon or energy proxies where available), and evolve controls so teams can change defaults and prioritise more sustainable options when policy and client needs allow.
- Minimise waste and promote recycling in our offices; we have no company-operated data halls or server rooms.
- Encourage remote work and digital collaboration to reduce travel-related emissions.
- Support research into sustainable AI and share learnings with clients and the wider community where appropriate.
Governance
Sustainability sits alongside our wider responsible AI work. Our AI Ethics Committee helps coordinate reviews and goals, with input from across the business and from external advisers when a topic needs it. The Committee:
- Reviews high-impact projects for environmental risks and opportunities.
- Sets sustainability goals and monitors progress.
- Reports regularly to our Board of Directors on sustainability performance.
- Commissions or sources independent assurance for high-impact initiatives where appropriate, including supply chain and vendor risk alongside our own applications.
- Ensures accountability and transparency throughout our organization.
Each AI system has a designated owner responsible for its environmental impact. We maintain records for regulatory compliance and continuous improvement.
Continuous improvement
- Regularly train teams on sustainable AI practices and emerging environmental standards.
- Extend the platform and agent roadmap so sustainability is easier to observe, report on, and act on over time, in lockstep with customer feedback and supplier capabilities.
- Conduct post-deployment reviews to identify lessons learned and areas for improvement.
- Solicit and act on feedback from employees, users, and stakeholders.
- Engage with academic research, industry initiatives, and civil society organizations focused on sustainability.
- Monitor and adapt to regulatory changes and best practices in environmental responsibility.
We understand that sustainability is an evolving field. We are committed to learning, adapting, and leading by example.
Transparency
Because we use shared cloud and third-party models, detailed energy and emissions figures for our workloads often depend on provider tools and published methodologies. We are open about that dependency and about the limits of what we can measure directly.
We publish or share information on our sustainability practices, including where feasible:
- How we use AI (including categories of third-party models and cloud services)
- Approaches to usage optimisation and vendor selection linked to environmental criteria
- Metrics we can obtain from providers or infer from usage (and honest caveats where we cannot)
- Governance structure and oversight activities
- Periodic summaries of progress and challenges (for example in an annual sustainability update)
Confidential information, such as proprietary implementation details and personal data, is protected. We balance transparency with the need to safeguard sensitive information and contractual obligations with suppliers.
Regulatory compliance
Ingenaium complies with all relevant environmental laws and standards. We monitor developments in AI and sustainability regulation, adapting our practices to meet or exceed requirements. We participate in consultations and work with regulators to promote effective environmental governance in the AI sector.
Contact and feedback
We welcome questions, feedback, and reports of environmental concerns. Please contact us at hello@ingenaium.ai. We acknowledge all reports within 2 working days and strive to resolve issues promptly and transparently.
Review and updates
This sustainability policy is reviewed annually and updated as needed to reflect new knowledge, technology, and regulatory requirements. We are committed to the ongoing improvement of our sustainability practices and to keeping our stakeholders informed.
Our promise
We commit to:
- Put environmental responsibility at the heart of our AI development and operations
- Monitor and minimise emissions and energy use from our cloud and third-party AI usage, including LLMs accessed via APIs and hyperscaler platforms
- Keep embedding sustainability in the Ingenaium platform and its AI agents through observability, reporting, and prioritisation levers our customers can use
- Be transparent about our progress and limitations
- Listen to feedback and act on it
- Continuously improve our sustainability practices
- Lead by example in responsible, sustainable AI
This policy reflects our commitment to sustainable AI and responsible business practices. Questions or feedback? Contact us at hello@ingenaium.ai.
About this statement
Published: 12 April 2026 · Last updated: 12 April 2026 · Next review: 12 April 2027 · Version: 1.0
This statement reflects our current approach to sustainable AI. We review and update it regularly to reflect our evolving practices, lessons learned, and changes in the regulatory landscape.
Ingenaium Ltd
Registered in England and Wales
Company number: 16578914
Registered office: Leigh House, 28 St Paul's Street, Leeds, LS1 2JT