MacrosLM

Financial analysis is not bottlenecked by intelligence — it is bottlenecked by throughput. A diligence process buries a team in thousands of documents, and the work of reading, reconciling and citing them is what stretches a two-week deliverable into six. General-purpose AI assistants help at the margins but break down exactly where financial work is hardest: they lose the thread across large document sets, they hallucinate figures, and they produce prose when what the client needs is a formatted deck or a working model. MacrosLM is built for that gap. It handles up to 1M files, which changes what is realistically in scope for a single engagement — full data rooms, years of filings, entire contract archives — rather than the curated subset a smaller context window forces you to pick. On top of that sits a library of 100+ specialized finance agents available out of the box, each aimed at a specific slice of the work instead of one general assistant asked to do everything. Grounding is the part that makes the output usable in a professional setting. Every deliverable traces back to source material, so a partner reviewing a slide can check the number rather than take it on faith — the difference between a draft an analyst has to re-verify line by line and one that survives review. That is also what separates this from consumer AI tools in regulated, high-liability work where an unsourced figure is worse than no figure. Deliverables come out in the formats the work actually ships in: fully cited slide decks, financial models and audit reports, in multiple output formats, with custom firm formatting so the result already matches house style instead of requiring a manual re-skin. The positioning is deliberately ambitious — the execution power of a Big 4 desk for advisors and consultants who do not have one — and it is aimed squarely at teams whose constraint is capacity rather than capability. For independent financial advisors, boutique consultancies and small deal teams competing against much larger shops, that is the leverage that matters.