TradeFlow uses AI to automate stock trade settlement for financial firms.

About Us

Taryn and Liam met at Cornell University 7 years ago. After graduating, Taryn worked at Goldman Sachs in global markets, and Liam worked at Meta as a software engineer.

The Problem

During her time in financial services, Taryn saw firsthand how inefficient and costly it is to settle trades. Trade settlement requires extensive coordination across firms, yet the current financial infrastructure is extremely fragmented. The industry acknowledges the inefficiency, but it’s been difficult to improve because workflows are heavily reliant on manual emails, disparate systems, and inconsistently structured data.

To make matters worse, the US just shortened the settlement timeline from 2 days to only 1, forcing operations professionals to perform the same workload in half the time.

The Solution

The advent of powerful AI technology can unlock greater efficiencies than ever before. Leveraging LLMs, TradeFlow digests and centralizes data from all key sources and automates action items, like booking trades and writing emails. Instead of completing time-intensive tasks by hand, operations professionals can offload them to TradeFlow and simply review the work at the end.

We empower back offices to do more with less, so trades can settle faster with a fraction of the human effort.

Our Ask

• Let us know at sales@tradeflowai.com if you have any financial services leaders in your network (brokers, banks, institutional investment firms)! Here is a blurb that you can share with others:

  “An ex-Goldman sales trader and an ex-Meta engineer created TradeFlow, an AI-powered software to automate post-trade operations. Reach out to the team at sales@tradeflowai.com to learn more & schedule a demo.”

• Follow us on LinkedIn!