Equity and financial-market analysis from Leeway AI
Each analysis takes on one large question and ends at a concrete portfolio of listed companies in which the AI agents see a structural undervaluation. The topics today range from artificial intelligence and robotics to human basics and state-mandated inspection, and more are added on an ongoing basis.
This is how every analysis is built before it is published. Jump to the method
All themes
Artificial intelligenceInfrastructure13 assets across 6 building blocks
Software creation is becoming cheaper. The analysis examines why durable returns may sit with small-business operating platforms, payment authorisation, compliance records and electricity rather than with generated applications.
The historical performance series for this portfolio is currently unavailable.
AI electricity demand remains high. This analysis examines why returns may accrue more to regulated networks, service revenue, specialist project delivery and contracted energy than to the most visible equipment.
The historical performance series for this portfolio is currently unavailable.
This analysis examines whether certified human hours, carbon tariff walls and restricted assets offer a less crowded way to study industrial returns in the late 2020s.
Cheap intelligence deflates informational moats, while permits, qualified capacity, route density and customer relationships remain scarce. The analysis separates scale grocers and qualified physical capacity from the businesses to avoid.
New laws require proof of compliance for the use of artificial intelligence. The analysis shows which companies issue that proof, sell it, or have to pay for it.
Warehouse robots, defence drones and humanoid machines are moving into series production. The analysis shows which listed companies capture the return and which only carry the valuation.
The assessment is produced in several steps. Independent model families answer the same question separately and then attack the results. What you read here has survived several rounds.
Two independent first theses. The same opening question goes to several model families that cannot see one another. Disagreements are kept, not averaged away.
Dated evidence. Every claim that depends on facts is broken into individual search questions and answered with dated, sourced web research. Question, answer, sources and timestamp are logged and remain traceable.
Adversarial review. Several review roles attack the thesis from different angles: one hunts for the strongest refutation, one for the awkward edge cases, one tests whether a path from thesis to share price exists at all, one checks the timeline for contradictions. Each role raises its own questions, which are again answered with evidence.
Merge, then the next round. The surviving theses are merged into one and attacked again. The counter-position and the unresolved tension on this page come out of that step. They were not bolted on afterwards to look balanced.
Back to the start. The process runs again until there is a clear result and a list of tradable companies with structural advantages.
Any analysis can be wrong. That is why the falsification criteria and the counter-position sit on the same page as the thesis, not in the small print.
Frequently asked questions about Leeway Research
What is Leeway Research?
Each page takes on one large market question and ends at a concrete portfolio of listed companies. The process that produces the assessment sits further up this page.
How are the named companies chosen?
The process runs in rounds until there is a clear result and a list of tradable companies with structural advantages. The AI agents see a structural undervaluation in that portfolio.
How do the Leeway ratings relate to the thesis?
Business Rating, Market-Fit Rating and Cycle Rating come from Leeway's general stock analysis and are independent of any given thesis. They assess the company, not the probability that the thesis is correct.
How much research sits behind an analysis?
In the course of an analysis the models write roughly 300 A4 pages of research and discussion before they reach a conclusion.
Which models work on an analysis?
Several leading models are connected and run in a chain, so that the examination is broader and more reliable.
How are the facts checked?
While research and analysis are under way, Perplexity continuously checks the facts and corrects errors.
General
The information is intended to support you in your independent decision-making in implementing investment strategies and serves purely informational purposes. Past performance is not a reliable indication of future performance. No warranty can be given for the completeness, correctness and accuracy of the listed content. The information does not constitute specific investment recommendations. We neither know you nor your financial situation and do not provide investment advice. Only licensed investment advisors with knowledge of your personal circumstances may do this. PWP Leeway UG (limited liability) is not an investment advisor and does not collect any personal data for the purpose of investment optimization. PWP Leeway UG (limited liability) is a provider of investment recommendations and investment strategy recommendations. As such, it is registered with and supervised by the Federal Financial Supervisory Authority (BaFin). The legal notices on the use of the website and the General Terms and Conditions of PWP Leeway UG (limited liability) also apply.
All price data are closing prices of the respective stock exchanges. Price information and master data are provided by an external service provider. Furthermore, public trading data, such as provided by Finra.org, is used to analyze market behavior. No warranty can be given for the completeness, correctness and accuracy of the listed content.