A finance and intelligence studio for the agentic economy.
Seydlers studies the financial logic of AI agents — how agentic businesses are built, funded, priced, measured, and managed, and how companies adopting agents should understand cost, ROI, performance, and workforce impact.
From software that assists to software that acts.
That shift changes the economics around software, services, labor, and operations — and it creates new questions about cost, pricing, margin, risk, governance, adoption, and market structure.
Traditional frameworks do not always map cleanly onto this transition. Agentic systems introduce execution costs, dependency on model providers, workflow-level economics, human oversight, and new forms of operational leverage.
Seydlers exists to make those changes legible.
Models, memos, intelligence, and practical tools.
The first studio focus is financial modelling for API-based agentic AI startups. Future work will expand into buyer-side agent workforce finance, market briefs, research publications, and strategic frameworks.
Both sides of the agentic market.
Companies building agents
The economics of companies building agentic AI services, workflow automation, and AI labor infrastructure.
Companies adopting agents
How adopters should evaluate cost, ROI, performance, cost-center allocation, and workforce impact.
Does agentic AI create scalable value, or hidden operating cost?
Seydlers is built for the period when agentic AI is moving faster than the financial, operational, and market frameworks used to understand it.