RelatedMVP · in development
EIA and ESIA Reporting Automation
Document and workflow automation for EIA and project introduction reports.
Area · 06
R&D
We answer technical questions that could become products with measurable experiments, and record failed attempts as results learned.
What we do
- Today
Research projects
RIS and the Quantitative Portfolio Engine.
- Planned
Experiment cards and a benchmarking method
- Planned
Document verification experiments
- Goal
Our own AI models
Small models focused on a specific field first.
Whose problems we solve
- Product teams and client projects
- Unresolved technical uncertainty delays product decisions.
How we work
Problem
Experiment design
Measurement
Continue or stop
What we do not promise
The Quantitative Portfolio Engine is not an investment advice tool; it makes no live-data or performance claims. Our own models are a goal today, not a product.
Related projects and example uses
- Quantitative Portfolio EngineFinanceIn development
- RISEnergy and infrastructureIn development
Connected areas
Today, next, goal
- Today
Research projects: RIS and the Quantitative Portfolio Engine.
- Planned
Experiment cards, a benchmarking method and document verification experiments.
- Goal
Our own AI models focused on specific fields.
Frequently asked questions
Does the Quantitative Portfolio Engine give investment advice?
No. It is not an investment advice tool; it makes no live-data or performance claims.
Do you have your own AI models?
Not yet. Our long-term goal is to start with small models focused on a specific field.
How do you work in R&D?
We define the problem, design the experiment, measure the result and decide to continue or stop based on that measurement.
Do you have a need in this area?
We start by clarifying the scope, the users and your priorities together.