We help you apply AI to the work that actually matters.
Sustainability research, regenerative-economy strategy, and practical training for teams, backed by a decade of field work.
Previous experience with teams at Enagas · Sonae · Kaizen Institute · Tragsa · SYSTEMIQ
Our work sits at an unusual intersection. We have co-built generative AI products used by 30,000+ monthly users in learning and development. We have designed circular-economy interventions across fishing-net recycling and bamboo-bike supply chains in Spain, Indonesia, and Africa. We have worked alongside researchers, educators, and field practitioners on the location-specific problems that do not fit neat consulting frameworks.
The thread connecting these projects is a belief that purpose-driven work deserves the same caliber of tooling as commercial work. AI, used carefully and skeptically, can make hard sustainability and systems-change research dramatically more tractable.
Current engagements
AI for Sustainability Research
For sustainability and ESG teams, circular-economy practitioners, and regenerative-economy researchers. Move from manual literature reviews and policy analysis to AI-assisted research workflows that compound over time without sacrificing rigor.
AI Research Workflows
For researchers and analysts in any domain integrating AI into their existing research practice. Tool-agnostic implementation: how to use Claude, GPT, NotebookLM, and other tools as research collaborators, what they are good at, what they are not, and how to design workflows that hold up over time.
A decade of field work
Behind every service there are real circular-economy and training projects across Spain, Indonesia, the Seychelles and Africa. AI is the lever; field experience is the foundation.
Read our published work
Our consulting practice is grounded in published research and methodology. The work below is what informs how we engage with client teams.
Claude Code for Circular Economy Research
A practitioner’s workflow for using Claude as a research collaborator on circular economy and sustainability questions. Tools, prompts, and rigor checks.
AI in Education: Anthropic Usage Data
A multi-month analysis of generative AI usage data across educator workflows, informing product strategy on a 30,000-user learning platform.
Shall we talk?
If something here resonates with the work you are trying to do, get in touch. Happy to talk it through.