<?xml version="1.0" encoding="UTF-8"?><ns2:project xmlns:ns1="http://gtr.rcuk.ac.uk/gtr/api" xmlns:ns2="http://gtr.rcuk.ac.uk/gtr/api/project" xmlns:ns3="http://gtr.rcuk.ac.uk/gtr/api/fund" xmlns:ns4="http://gtr.rcuk.ac.uk/gtr/api/person" xmlns:ns5="http://gtr.rcuk.ac.uk/gtr/api/project/outcome" xmlns:ns6="http://gtr.rcuk.ac.uk/gtr/api/organisation" ns1:created="2026-06-22T07:57:45Z" ns1:href="http://gtr.ukri.org/gtr/api/projects/1E2E9F09-52F4-4A2A-AA97-3923F3B5E73A" ns1:id="1E2E9F09-52F4-4A2A-AA97-3923F3B5E73A"><ns1:links><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/persons/6136C606-FD51-454F-B2B5-6F4C14B2DCF8" ns1:rel="PM_PER"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/FAB64B81-4A1D-4F49-8229-9CA3FD33B917" ns1:rel="LEAD_ORG"/><ns1:link ns1:href="http://gtr.ukri.org/gtr/api/organisations/FAB64B81-4A1D-4F49-8229-9CA3FD33B917" ns1:rel="PARTICIPANT_ORG"/><ns1:link ns1:end="2021-09-29T23:00:00Z" ns1:href="http://gtr.ukri.org/gtr/api/funds/67D99CA7-4AC3-461D-BAF8-D8937CCFC70F" ns1:rel="FUND" ns1:start="2020-03-31T23:00:00Z"/></ns1:links><ns2:identifiers><ns2:identifier ns2:type="RCUK">44530</ns2:identifier></ns2:identifiers><ns2:title>Using AI and Natural Language Processing to Enable Instantaneous Transactions of Commodities, Assets and Securities</ns2:title><ns2:status>Closed</ns2:status><ns2:grantCategory>Study</ns2:grantCategory><ns2:leadFunder>Innovate UK</ns2:leadFunder><ns2:abstractText>Unlike trading in listed stocks/shares, transacted through centralised exchanges&amp;amp; for which the buy/sell prices are transparen&amp;amp; changes in price are instantaneously communicated and e concluded in real-time, the global market for trading in illiquid assets such as derivatives, credit products, cryptocurrencies&amp;amp; structured securities (annual\_trading\_volume $24 trillion(2017)) is an Over-the-Counter(OTC) market reliant on a few Inter-Dealer Brokers (IDB) to price an asset the holder wants to buy/sell, and to identify counterparties to complete the trade.

IDBs play a role in trades made through centralised exchanges- when a trader wants to sell large volume, if placed on the market as a single transaction, trading algorithms create a significant drop in the price of the asset, lowering the value realisable. The need to trade through the oligopoly of IDBs creates inefficiencies and costs- IDB fees in 2017=$10billion.

**Solution**

(SeeQ2) Utilising Natural\_Language\_Processing(NLP), cognitive reasoning&amp;amp; Artificial Intelligence(AI) AiX, are developing an integrated SaaS technology delivering the full broker process, removing need for human brokers, greatly speeding transaction processes, removing errors, reducing costs of market-making.

**Impacts:**

1.Enable multiple simultaneous trades to be carried out instantly 2.Reduce trade execution-time from hours-to-minutes

3.Provide complete&amp;amp; current market intelligence to support traders execution decisions

4.Ensure full&amp;amp;timely trade and completion documentation&amp;reg;ulatory filings 5.Provide complete?corruptible audit trails

6.Remove bias&amp;amp; human-error risks

7.Maximise value by greatly scaling number of quotes obtained- human brokers typically only obtain 5-10

Halve brokerage fees</ns2:abstractText></ns2:project>