The view from the office.

Harry Glorikian met me for coffee at the Starbucks in Waltham, Mass. to demo the AI risk analysis featured in his new fintech startup, Consilience AI.

I was in the area taking my son to visit colleges and I wanted to see the progress he’d made building the product, brand named AlphaIQ.

The company first built a specialized large language model to assess medical research. They pivoted to apply the results to financial documents, such as conference call transcripts and SEC filings.

The goal was to leverage AI to “read” unstructured financial documents and deliver summaries as well as quantitative scores for more than five dozen pre-set risk factors, such as audits, accounting and bankruptcy.

AlphaIQ also grades language used by companies for qualities such as evasiveness, reliability and insincerity. The software includes as much as two decades of pre-loaded data so you can detect fluctuations over time and compare scores with competitors.

AlphaIQ is designed to be used by hedge funds and other financial professionals who want to screen for opportunities or detect risks that aren’t visible in fundamental data.

Consilience ai is one of scores of startups trying to leverage AI as part of a profound shift in investment analysis.

For decades, Wall Street analysts have relied on data announced by companies or compiled by the government. Increasingly, they will look for insights in previously inaccessible, unstructured information.

Harry is reachable via LinkedIn or DM me for an introduction.