Your Virtual Agent
Enable RFQ automation with Emmie
Who is Emmie?
Emmie is your virtual agent, available 24/7, dedicated to assisting you in managing customer and user requests in real time.
She intelligently captures and digitizes inbound requests, converting them into standardized FIX or REST messages. This automation streamlines your workflow and enables a seamless, fully automated RFQ process — with no manual effort required.
What Can I Do With Emmie?
As your virtual agent, Emmie helps you process and automate customer and user requests effortlessly. #RFQ automation #Automated RFQ
Integrated into your workflow, Emmie becomes a true virtual teammate. She enables your clients to complete key actions — from submitting RFQs and processing deals to requesting reports — quickly and securely. Whether it’s transforming a simple message into a structured RFQ or handling full transaction cycles, Emmie delivers seamless, real-time RFQ automation.
Beyond client-facing tasks, Emmie supports your internal teams by managing administrative and repetitive operations. She accelerates tasks like internal document handling or post-trade messaging — freeing up valuable time and reducing operational friction.
What Are Emmie ‘s Advantages?
A Huge Time And Money Saver
Emmie is a huge time and money saver. She handles thousand of requests in parallel and prevent human error, which significantly reduces costs.
This allows your team to shift their focus on operations that have greater added value and can increase margins on banking products.
Emmie is trained to answer in realtime. She can automatically present new offers that may interest the customer through RFQ automation and support seamless Automated RFQ processes.
Using Emmie makes moving between transactions seamless, which can increase customer engagement and the number of bank accounts opened.
Emmie is scalable and holds multiple conversations simultaneously. Not to mention that chatbots work 24 hours a day, 7 days a week.
This is a huge benefit because customers and users can get help whenever they need it, which significantly improves the overall experience.
Structuring RFQs intelligently using text mining, natural language processing, and machine learning
RFQs are often unstructured messages sent via email, phone, or messaging systems to brokers.
For intelligent RFQ automation, we integrate text mining, natural language processing (NLP), and machine learning.
Over 2 million RFQ requests were processed to train and test the model. We use N-gram TF-IDF to extract keywords and text analytics to identify key specs like contract, direction, and size. Emmie AI groups sentences and identifies relevant criteria to generate standardized RFQs, making it easier for trading desks to price faster by routing messages to the pricing engine.
The system streamlines trade execution and booking in competitive markets.
Why Emmie Is Named Emmie?
From Wikipedia, the free encyclopedia
Amalie Emmy Noether was a German mathematician who made many important contributions to abstract algebra. She discovered Noether’s theorem, which is fundamental in mathematical physics. She invariably used the name “Emmy Noether” in her life and publications. She was described by Pavel Alexandrov, Albert Einstein, Jean Dieudonné, Hermann Weyl and Norbert Wiener as the most important woman in the history of mathematics.