We help mid-to-large companies understand and act on upstream climate exposure, Scope 3 leverage, regulatory pressure and disclosure risk — at a cost and speed traditional consulting cannot match.
Most companies still attack these as four disconnected pieces. We treat them as one.
For sustainability leads, CFOs and COOs at mid-to-large corporates carrying climate exposure their function is under-resourced to assess.
European and US rooted expertise, applied globally.
Models that read a fragmented supplier estate, geospatial and hazard data, a decade of disclosures and a shifting rulebook in days, work that used to take a team a quarter.
Climate and nature impact measurement, natural-capital dependencies, supply chain operations, disclosure and the investor view — the disciplines climate resilience actually depends on. People who have run the work, not analysts learning on your budget.
No pyramid, no standing bench, no six-month discovery. You pay for the expertise the question needs, for as long as it needs it.
Climate strategy, carbon reporting & decarbonisation
Fifteen years building the systems companies use to measure, report and reduce climate impact. Former CSO of Moncler Group and the executive who led the first Group-wide Environmental Profit & Loss rollout at Kering (and its 2015 open-sourcing). Former CEO of Pebble.ai.
Data, energy & circularity
Two decades at the intersection of sustainability, energy and industrial data: nearly eight years at Siemens, then senior sustainability consulting at AWS on carbon accounting, ESG reporting, traceability and IoT energy optimisation. Now a Partner at E2 Management Consulting in Zürich, and active as a founder and advisor in utility-scale battery storage, circularity and risk analytics.
Capital markets & investor view
More than twenty years in sustainable investment, most recently Head of Equities at GIB Asset Management. Former Liontrust partner and SRI fund manager; UN PRI listed equity steering committee member. Brings the allocator's perspective on how disclosure and transition plans actually land with investors.
Frontier AI engineering & agentic systems
Leads the build-out of a production AI-agent platform at a financial-services firm. Former Member of Technical Staff at Anthropic; built Amazon CodeWhisperer’s Chat integration for JetBrains and an Oracle platform used by 60,000+ employees. Makes frontier AI trustworthy on messy enterprise data.
Two sessions: diagnostic, then a demonstration and a prioritised 90-day plan.
A ranked findings register on your disclosure before a hostile reader writes it.
Named senior specialists assembled per problem, disclosed before work starts.
Problem statements first, public and synthetic inputs, IT in the room from session one.
Keynotes and events, plus in-house workshops and online courses on AI and supply chain resilience.
Describe the question. You'll see the method on public, synthetic, or aggregate inputs first, and decide from there whether and where to run it on real data.
