We build AI-assisted tools and workflows for renewable energy and technical teams—from screening potential sites to turning complex evidence into clear, reviewable reports.
Connect screening APIs, structured JSON and draft reporting—or scope an enterprise workflow around your documents and systems, with people reviewing the outputs.
API integration and structured data handovers
Automated report drafting with evidence references
Illustrative pathways · Scope and outputs agreed for each engagement
From question to usable output
A focused way to build.
Agree on what matters, test against real work, and keep human judgement in the loop.
01
Define the task
Agree on the decision, useful output, and how to judge the result.
02
Connect the evidence
Identify relevant documents, data, spatial layers, and information gaps.
03
Build and test
Develop a focused workflow and check it against representative examples.
04
Review and hand over
Inspect the outputs together, document limitations, and agree on the next step.
Meet the founder
Domain experience. A builder's mindset.
I'm Angello Pagano van Amersfoort, a geoscientist and AI builder with more than 20 years across energy, spatial analysis, and technical decision-making.
Today, I bring that experience to renewable energy screening, AI workflow development, and the evaluation of geospatial AI outputs.
We want to use AI for the good of humanity: helping people make informed decisions, supporting the energy transition and protecting the living systems we depend on. Our ambition is to contribute to the UN Sustainable Development Goals while respecting planetary boundaries.
In practice, that means making environmental evidence easier to use, considering land, water and biodiversity alongside energy potential, and keeping people accountable for decisions. The planetary boundaries framework informs that ambition.
Start with one useful question
A site to assess. A workflow to improve.
Tell us what you are trying to decide, what information you have, and where the work gets stuck.