Projects that transform research insight into responsible, living AI systems.
Discover the lab’s delivery programmes spanning transparency tooling, civic deployments, multimodal ethics, and evaluation suites. Each initiative blends governance rituals, motion design, and production-ready infrastructure.
Implementation velocity
6 weeks
Average time from research drop to live prototype
Embedded partners
22
Governments, universities, and venture teams in active builds
Operational playbooks
48
Reusable delivery frameworks across AI product lifecycles
Systems architecture
Infrastructure audits, compliance automation, and interpretable model orchestration.
Responsible deployment
Risk modelling, stakeholder briefings, and deployment rehearsals with ethical guardrails.
Motion storytelling
Cinematic visual systems and interactive demos that help teams internalize impact pathways.
Browse the project lab
Filter by programme focus or search for specific capabilities. Each project ships with an atlas of documentation, success metrics, and cinematic interfaces ready for stakeholders.
Studio spotlight
High velocity programmes
Data Infrastructure
Semantic Data Pipelines
Advanced data processing pipelines with semantic understanding, automated quality assessment, and intelligent data transformation.
AI Transparency
Transparent LLMs
Building interpretable and explainable large language models with transparent decision-making processes and comprehensive audit trails.
AI Deployment
Real-World AI Deployments
Case studies and frameworks for deploying AI systems in real-world environments with focus on reliability, scalability, and impact.
Project library
More initiatives from the studio
Hybrid AI
Symbolic AI
Hybrid symbolic-neural AI systems that combine the reasoning capabilities of symbolic AI with the learning power of neural networks.
Digital Rights
Digital Identity & Agency
Exploring digital identity frameworks and human agency in AI-mediated environments with focus on privacy and autonomy.
Evaluation
NLP Evaluation
Comprehensive evaluation framework for natural language processing systems with focus on robustness, fairness, and real-world performance.
AI Ethics
Ethics in Multimodal AI
Ethical frameworks and guidelines for multimodal AI systems, addressing bias, fairness, and responsible deployment across modalities.
Engagement models
Ways to collaborate with the project studio
We combine research, delivery, and cinematic storytelling to help teams adopt responsible intelligence. Programmes flex from rapid explorations to long-term embedded collaborations.
Discovery sprints
3-week intensives aligning research goals with stakeholders, culminating in motion-rich roadmaps.
Embedded pods
Cross-functional teams integrate with your org to deliver accountable AI capabilities end-to-end.
Governance retainers
Ongoing audits, documentation, and training to keep production systems transparent and trusted.
Executive briefings
Cinematic updates and decision frameworks for boards, regulators, and community partners.
Weekly showcases, transparent scorecards, and partner retros ensure every sprint stays accountable and cinematic.
- Dedicated motion libraries bring prototypes and governance actions to life across devices.
- Research instrumentation captures qualitative and quantitative signals for constant iteration.
- Stakeholder workshops translate findings into policies, product briefs, and public communications.
