Our work

Proof before promises

Each case describes the challenge, what we did and the outcome. We publish only with our clients' permission and never disclose contract amounts.

Challenge
Producers and extension staff in the watershed needed timely agronomic guidance, but in-person technical assistance can't cover every question.
Outcome
An always-available assistance channel, with answers traceable to their sources and an improvement cycle driven by expert review.
Live
Challenge
Managing forest and conservation properties required up-to-date spatial information that was easy to access for planning, follow-up and reporting.
Outcome
Centralized landscape information available for decision-making and for reporting to partners and funders.
Live
Coffee Cloud dashboard with a map of Guatemala and indicators
Challenge
Coffee-farming families were making management decisions without access to climate information or timely technical assistance.
Outcome
An internationally recognized farmer-information model (MIT Technology Review Innovators Under 35, Cracking the Nut 2017).
AI agents and assistants for landscapes
~6,000coffee farmers reached
Challenge
Financial institutions needed to understand their portfolios' exposure to climate hazards to manage risk and access green finance.
Outcome
A climate-exposure diagnostic that supports risk management and conversations with funders.
Geospatial data, GeoAI and climate
Challenge
Tracking good practices relied on paper forms that were hard to consolidate and verify.
Outcome
Structured field data that makes follow-up and reporting easier.
Traceability, MRV/dMRV and verification
Coffee risk map on the Pergamino platform
Challenge
Responding to coffee leaf rust means seeing epidemiological and weather data together, and they are usually kept apart.
Outcome
A single source of information to respond to coffee leaf rust.
Geospatial data, GeoAI and climate
Challenge
Farming families needed to size rainwater-harvesting solutions in the face of climate variability.
Outcome
Better-informed water investment decisions.
Geospatial data, GeoAI and climate
Clima Pesca website with fishing boats
Challenge
Fishing communities needed timely information on sea and weather conditions to work more safely.
Outcome
Relevant information to plan fishing trips and reduce risk.
Geospatial data, GeoAI and climate
Challenge
Livestock producers kept few records, making it hard to improve productivity or demonstrate good practices.
Outcome
Farm records that support management decisions and technical assistance.
AI agents and assistants for landscapes
Challenge
Conservation initiatives needed reliable ways to measure and communicate their biodiversity results.
Outcome
A legacy case that laid the groundwork for our nature MRV work.
Traceability, MRV/dMRV and verification
Climate Proofing project website
Challenge
Development projects face risks from climate variability and change, and those risks need to be identified before investing.
Outcome
An approach built on changes that are economically viable, socially acceptable and in harmony with the environment.
Geospatial data, GeoAI and climate
Project website with a group photo of participants
Challenge
Civil society organizations needed to communicate, protect themselves and manage their work better in a digital environment.
Outcome
Ten civil society organizations trained.
AI strategy and readiness
10organizations trained

Workshops

Capacity that stays with the organization

We also support training and co-creation processes from start to finish.

TASHAROC · Morocco · June 2020

Webinars to improve access to services

Production, strategy, platform and on-demand content in several languages.

600–3,000participants
Together · Thailand · May and June 2020

Digital transformation workshops for the social sector

A workshop series in Bangkok, with trained facilitators and platform manuals.

30social organizations
INVEST · Mexico · April 2020

Co-creation workshop to design and finance tools

Facilitation, group work, multichannel support and an event record.

70participants from at least 10 countries

Next step

What outcome do you need to prove in the next 12 months?

Tell us about your challenge. In a first conversation we'll see whether a diagnostic makes sense for your organization.

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