AI workflows for energy and geoscience

Earth intelligence.
Practical AI.
Better decisions.

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.

Geoscience expertise · Spatial data · Human review

R.E.L.A.I.Screening tool · Beta
R.E.L.A.I. live interface with renewable pathway selection, a guided workflow, and a map.
Start with a location.
Find the questions worth investigating.
Built on domain experience20+ years in energy & geoscienceQGIS & spatial analysisAI output evaluation

Two ways to work together

Make complex information
useful to your team.

Start with a specific decision or a recurring task. Build from the evidence you have.

01 / SITE INTELLIGENCE

See your site's
next steps more clearly.

Explore solar, wind, and geothermal pathways with R.E.L.A.I., then discuss expert support to interpret evidence and plan further investigation.

  • Preliminary renewable energy screening
  • Spatial context and information gaps
  • Expert-supported assessment and next steps
Explore site intelligence →For renewable developers and technical advisers
02 / APPLIED AI WORKFLOWS

Move recurring work
from manual to repeatable.

Scope a practical AI pilot around technical research, documents, geospatial analysis, or reporting—with people reviewing the outputs.

  • Workflow discovery and pilot design
  • Evidence retrieval and draft reporting
  • QGIS workflows and output evaluation
Explore AI workflows →For energy, environmental, and technical teams

Evidence into action

See where the pieces connect.

01 INPUTSite boundary + energy ambition
02 WORKFLOWSpatial evidence + screening
03 OUTPUTConstraints + next investigations

From a location to better questions.

Explore a location with R.E.L.A.I., then identify the evidence and expert review needed for your next decision.

Explore site intelligence

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.

  1. 01

    Define the task

    Agree on the decision, useful output, and how to judge the result.

  2. 02

    Connect the evidence

    Identify relevant documents, data, spatial layers, and information gaps.

  3. 03

    Build and test

    Develop a focused workflow and check it against representative examples.

  4. 04

    Review and hand over

    Inspect the outputs together, document limitations, and agree on the next step.

Angello Pagano van Amersfoort, founder of Geotechnic Solutions

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.

More about Angello and the work →

Why this work matters

Technology with a purpose
beyond the workflow.

We want to help people make better use of Earth's resources. Our focus is practical: support the energy transition, make environmental evidence easier to use, and build AI tools that strengthen human judgement.

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.

Let’s talk about your project