past projects
Proven expertise. Real-world impact.
Teaching AI Leadership: Our Partnership with UCL CSRI
UCL Centre for Sustainability & RealTech Innovation (UCL CSRI)
Your portfolio companies need AI-literate leadership, fast. We built the program to deliver it.In partnership with UCL, we designed and delivered executive education that turns AI ambiguity into actionable strategy. Our curriculum covers everything from governance frameworks to regulatory compliance, tailored for leaders who need to move quickly without cutting corners.
Our contribution:
- Curriculum design – Practical frameworks for AI strategy, ethics, and risk
- Program delivery – Masterclasses and workshops for senior executives
- Mentorship – Experienced practitioners supporting founders through implementation
- Thought leadership – Webinars, marketing, and content that translates AI for business
Most founders lack the frameworks to make confident AI decisions. We give them the structured thinking and practical tools they need, without the academic overhead. Same rigour, startup speed.
- Adapt this program for your portfolio companies,
- Deliver targeted masterclasses for your founder community,
- Provide one-on-one executive coaching for portfolio leadership teams.
Ongoing partnership.
Executive Education Course: Responsible AI for Business Leaders.
Global AI Governance Research: UAE Country Assessment
Global Index on Responsible AI
Led UAE research workstream assessing national AI policy, governance frameworks, and adoption patterns against global standards. Engaged government entities, private sector leaders, and civil society organisations to validate findings on AI regulation, marketplace governance, and platform oversight.
Portfolio companies operating in or entering UAE markets need to understand the regulatory landscape, governance expectations, and competitive positioning on responsible AI. This research provides the evidence base for:
- Benchmarking your portfolio's AI maturity against national standards
- Understanding regulatory direction and compliance requirements
- Positioning companies competitively on responsible AI practices
- Identifying gaps before they become regulatory or reputational risks
AI Maturity Benchmarking: Assess your portfolio companies against UAE and global responsible AI standards
Regulatory Intelligence: Provide insights on UAE AI policy direction and compliance requirements
Gap Analysis: Identify governance and risk management gaps before market entry or investment
Strategic Positioning: Help portfolio companies differentiate through responsible AI practices
Stakeholder Engagement: Leverage government and industry networks for validation and partnerships
Completed, pending report publication.
GIRAI 2026 Global Report (forthcoming).
Delivering an End-to-End Technology Procurement Programme
UK Government Department
When your portfolio companies scale into enterprise or regulated sectors, procurement becomes a bottleneck. Most startups lack the frameworks to navigate complex buying processes, demonstrate compliance, or manage vendor relationships at scale.
We've built these systems at government level, where procurement standards are highest and scrutiny is most intense.
For a UK Government agency, we designed and executed the complete technology procurement program from requirements gathering through vendor selection, ensuring alignment with government guidelines and regulatory standards.
What we delivered:
- End-to-end process design – Requirements definition, evaluation criteria, selection methodology
- Compliance frameworks – Ensuring adherence to government procurement guidelines and value-for-money principles
- Stakeholder management – Coordinating across multiple departments and decision-makers
- Vendor evaluation – Structured assessment and selection process for technology systems
When your portfolio companies scale into enterprise or regulated sectors, procurement becomes a critical bottleneck. Most startups lack the frameworks to:
- Navigate complex enterprise buying processes (6-18 month sales cycles)
- Demonstrate compliance with procurement regulations and security standards
- Respond effectively to RFPs, ITTs, and framework agreementsManage multi-stakeholder vendor selection processes
- Position themselves competitively against established players
We've built these systems at government level, where procurement standards are highest, scrutiny is most intense, and buying processes are most rigorous. If your portfolio companies can sell to government, they can sell to any enterprise buyer.
Enterprise Sales Readiness: Prepare portfolio companies to respond to complex procurement processes and RFPs
Compliance Frameworks: Build documentation and processes demonstrating regulatory adherence (GDPR, Cyber Essentials, ISO standards)
Procurement Strategy: Help portfolio companies position themselves in framework agreements and tender processes
Evaluation Criteria Design: Understand how buyers evaluate vendors and structure your offering accordingly
Stakeholder Mapping: Navigate multi-stakeholder decision processes in enterprise and public sector sales
Due Diligence Preparation: Build vendor assessment documentation that satisfies enterprise procurement requirements
Successfully delivered compliant procurement program with reusable governance frameworks.
Successfully delivered technology procurement programme meeting UK government standards.
Developing a Data & AI Maturity Assessment Platform
Data Clan
Proprietary assessment technology for investors and portfolio companies
Most investors assess AI companies on vision and team, but miss the infrastructure underneath. By the time data governance problems surface, they've cost months of runway and credibility.
We built a platform that spots these issues before they become expensive.
The platform:
Our proprietary assessment technology evaluates data and AI maturity across multiple dimensions, infrastructure quality, governance readiness, team capability, regulatory compliance, and scalability. Clients get objective scoring, gap analysis, and prioritised roadmaps in a fraction of the time manual assessments take.
What it measures:
- Data infrastructure – Quality, accessibility, technical debt
- Governance maturity – Policies, compliance readiness, risk management
- Team capability – Skills gaps, process maturityAI readiness – Strategic alignment, ethical frameworks, regulatory preparedness
- Technology scalability – Architecture, security, integration capability
Consistent, objective baselines across all your companies. See which startups are ready to scale and which ones need intervention, before problems compound. Track capability improvements systematically, not anecdotally.
- Due diligence – Assess technical risk before investment decisions
- Portfolio diagnostics – Identify which companies need capability building at scale
- Progress tracking – Measure improvement across cohorts over time
- Resource allocation – Data-driven decisions about where to focus support
Platform deployed with commercial clients
Increased data management maturity.
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