We're building the financial analyst's copilot

Financial professionals spend 60-70% of their time reading documents. Not analyzing. Not making decisions. Just reading.

A single 10-K filing can be 200+ pages. An analyst covering 50 companies reads thousands of pages per quarter. Credit agreements bury critical clauses in walls of legal text. Footnotes hide risks that move markets.

The tools that exist are either:

• Too expensive — Bloomberg costs $24K/year. AlphaSense starts at $30K. Kensho won't even give you a price without a sales call.
• Too generic — ChatGPT can summarize a document, but it doesn't know what a material weakness is or why a change in accounting estimate matters.
• Too slow — Most enterprise tools take weeks to implement and require training to use.

We think there's a better way.

Quantistic is AI that actually understands financial documents.

Not just OCR that extracts text. Not just an LLM wrapper that summarizes. We're building models that know what GAAP requires, what covenants mean, and what red flags look like in an MD&A section.

Drop in a 10-K and ask "any material weaknesses?" — you get an answer in seconds, not hours. Upload a credit agreement and ask "what triggers a default?" — you get the actual clauses, cited and explained.

The goal is simple: give every analyst the research capabilities of a top-tier investment bank, at a price anyone can afford.