INVESTMENT THESIS
Conviction-Driven Investing.
Real Impact.
Zero Hype.
Guided by the Triple Bottom Line (Profit, People and Planet), we support entrepreneurs developing technologies that solve big problems in Education, Healthcare and Sustainability (what we like to refer to as ‘Quality-of-Life’ stack).
These sectors represent high-growth markets with immense potential for technological innovation and disruption, addressing critical global challenges while offering significant opportunities for financial returns through scalable, technology-driven solutions.
Our ‘Quality-of-Life’ stack explained
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What we believe to be true
AI is not eliminating work; it is continuously reshaping it. In an AI-first world, the limiting factor is no longer access to information, but the ability of people and organisations to adapt fast enough. Learning becomes a permanent infrastructure layer—not a one-off phase of life.What this means for investing
We back platforms that make learning:Continuous, not episodic
Embedded into workflows, not bolted on
Measurable in outcomes, not inputs
This naturally pulls us toward:
Workforce reskilling and upskilling
Enterprise and B2B learning platforms with budget and urgency
Adaptive, AI-driven learning systems that personalise at scale
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What we believe to be true
The signalling power of traditional degrees is eroding. Employers increasingly care about what people can actually do, not where they studied or how long they sat in a classroom. At the same time, learners want faster, cheaper, and more flexible paths to progress.What this means for investing
We invest where skills can be:Clearly defined
Reliably verified
Directly linked to employability or productivity
This leads us to:
Credentialing and micro-certification platforms
Compliance and regulated-sector training with verifiable outcomes
Sector-specific, industry-backed learning pathways
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What we believe to be true
As machines get better at technical tasks, human advantage shifts to skills that are harder to automate: communication, judgement, leadership, adaptability, empathy, and financial decision-making. These skills are economically valuable, but historically under-taught.What this means for investing
We back learning models that develop:Soft skills and workforce readiness
Vocational and practical capabilities
Financial and digital literacy as foundational life skills
This expands our lens beyond “tech skills” to:
Life-long employability
Productivity and retention inside organisations
Inclusion and access for underserved or non-traditional learners
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What we believe to be true
Healthcare systems globally are financially unsustainable. 70%+ of spend goes to chronic conditions. Most care is delivered too late.
The future of healthcare is:
Earlier detection
Continuous monitoring
Behaviour change support
Risk prediction before crisis
Prevention is not a moral argument anymore. It is an economic inevitability.
What this means for investing
We back models that:
Intervene upstream
Reduce long-term claims and system costs
Show measurable outcome improvements
This naturally pulls us toward:
Preventive digital health platforms
Remote diagnostics & home-based screening
Chronic condition management
Employer- and insurer-backed prevention models
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What we believe to be true
One-size-fits-all medicine is inefficient and outdated.
Individuals increasingly expect:
Tailored treatment pathways
Ownership of their health data
Control over who accesses it and when
Simultaneously, AI is making real-time personalisation viable at scale.
Healthcare will become:
Data-driven
Context-aware
Individualised
The patient becomes the centre of the system, not the institution.
What this means for investing
We back platforms that:
Use data (EHR, wearables, labs) to personalise care
Improve patient navigation and engagement
Enable interoperability and intelligent data use
Integrate into real workflows (providers, payers, employers)
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What we believe to be true
Healthcare providers are overwhelmed:
Administrative burden is excessive
Workforce shortages are worsening
Burnout is systemic
Costs are rising faster than GDP
Software and AI (not more buildings) will fix this.
Automation, AI-assisted workflows, and interoperable data systems will:
Reduce friction
Increase capacity
Lower cost per patient
Improve clinical decision-making
What this means for investing
We back:
AI-powered administrative automation
Workflow-embedded tools for providers
Data interoperability & analytics platforms
B2B enterprise models with clear ROI
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What we believe to be true
Climate change is real, accelerating, and increasingly priced into policy, regulation, insurance, and capital markets.
Energy transition and industrial decarbonisation are not optional. They are systemic shifts driven by:
Regulation
Investor pressure
Corporate net-zero commitments
Energy security concerns
Decarbonisation is no longer “impact investing.” It is industrial transformation.
What this means for investing
We back solutions that:
Reduce emissions at scale
Improve energy efficiency
Enable electrification and grid flexibility
Decarbonise heavy industry
This naturally pulls us toward:
Energy efficiency & optimisation
Industrial heat recovery
Storage & grid innovation
Carbon capture with real commercial pathways
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What we believe to be true
The linear model (take, make, waste) is economically unsustainable.
Raw material volatility, supply chain fragility, and regulatory pressure are forcing companies to:
Reduce waste
Reuse inputs
Redesign materials
Track Scope 3 emissions
The circular economy is not just environmentally sound, it is margin-enhancing.
Efficiency compounds. Waste destroys value.
What this means for investing
We back:
Circular economy models
Waste-to-value platforms
Alternative materials with drop-in adoption
Supply chain transparency & traceability
We prioritise:
Solutions that integrate into existing systems
Clear B2B demand
Demonstrable ROI
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What we believe to be true
The era of ESG as reporting is fading. The era of ESG as operational performance is here.
Companies do not need more dashboards. They need:
Actionable optimisation
Automation
Cost reduction tied to sustainability
Measurable impact embedded into workflows
The winning models will not sell “virtue.” They will sell performance.
What this means for investing
We back:
AI-powered optimisation platforms
Energy intelligence software
Operational decarbonisation tools
Real-time supply chain transparency
Investment Criteria
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Technology ‘golden thread’, with disruptive potential…
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…and a clear and defensible moat
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Strong and innovative founding teams, looking for value-add investors
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Business traction (why will this succeed now)

