From unstructured market conversations to a fine-grained understanding of liquidity in OTC capital markets.
Actionable Intelligence
Our natural language models understand the complex jargon used in capital markets enabling extraction of information from across the life cycle of a trade.
A view of what clients are saying rather than what they’ve executed gives you a view of trades that haven’t yet happened, maximizing available liquidity.
Isolate important workflows
We turn trading desks into modern data-driven franchises with state-of-the-art natural language processing that gets to the heart of complex conversations.
Machine Learning
NLP for Capital Markets
Critical to our approach is the use of advanced language modelling techniques that go beyond ‘scraping’ technology. Language modelling has improved dramatically in recent years, but to make them useful in capital markets Sense Street has developed a proprietary pipeline that conditions these models on the domain.
Data Curation
Data scientists, linguists, traders collaborate to create uniquely annotated datasets focused on OTC conversational flow.
Model Tuning
Engineers and NLP researchers fine-tune Sense Street’s suite of models, using our proprietary curated datasets.
Structured Output
Our models extract counterparty intentions even when expressed across multiple unstructured conversations.
Scaleable Tech
Enterprise Architecture
Sense Street’s processes and systems have been carefully constructed to pass information security concerns typical within the industry, which means pilots can be executed in as little as 3 months.
Scalable AI
Our models are trained in a federated manner from industry wide datasets guranteeing high generalization.
Flexible Deployments
In production our solutions can be deployed on premise or as a service depending on integration requirements.
Secure Pilots
Pilots are executed on ISO27001/SOC 2 certified networks that pass easily stringent impact assessments.