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Deep Learning meets
Capital Markets

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Real-time analytics and automation of communications data

Accurate, effectively and timely communication is critical in the capital markets. Re:infer automates the interpretation of communications, enabling real-time, scalable, efficient service, fulfilment and risk management.

The context

In the capital markets information is your edge. Firms typically generate tens or hundreds of millions of messages every year. Employees spend over half their day reading, writing, deleting and forwarding messages.

In the pre-trade space the firm doesn’t have the capacity to intelligently listen to clients across all the conversational touchpoints, weakening the capacity to prospect, onboard, drive engagement, sales and efficient execution.

In the post-trade space, every message is an exception to Straight-Through Processing (STP) and introduces operational risk. Without understanding, measuring and monitoring the flow of fulfilment in these currently opaque channels we cannot increase STP rates, drive self-service, automation and reduce cost base.

The solution

Re:infer’s Deep Learning platform unlocks the value in your communications.

Re:infer converts unstructured communications (emails, calls, chats, notes) into structured data in real-time allowing for analytics and automation.

Re:infer creates opportunities for growth

Automatic capture of management information

Machine-driven discovery of client and operations behaviour in real-time across millions of interactions.

Client-centric services

Data-driven relationships that revolutionise the client experience.

Minimising the sources of latency

Speed up understanding and processing from days to minutes.

Automation of manual processes

Address the high and inefficient cost of human capital with straight through processing of repetitive manual tasks.

Pre-Trade Communications Analytics

  • Monitor client sentiment: real-time analytics on clients wants and needs
  • Identify client demand: detect the drivers of value and failure demand
  • Discover and act on product, pricing or research feedback
  • Track and monitor your clients' view of the competition

Sales Optimisation

  • Discover and quantify the most effective up-sell and cross-sell drivers
  • Recognise, share and reward attributes of high performing relationship managers
  • Join conversational events across different touchpoints to monitor and improve the client journey

Post-Trade Communications Analytics

  • Discover and quantify all manual processes
  • Uncover root-cause drivers for people, process, data and system failure
  • Identify digital transformation and automation opportunities with greatest ROI
  • Real-time monitoring of quality of service with counterparties

Compliance and Risk

  • Early detection and alerting to operational risk events
  • Monitor adherence to regulatory requirements from KYC to AML & GDPR
  • Alerts to low frequency high risk events
  • Perform surveillance at scale

Automation

  • Make all communications data structured and actionable in the wider IT real-estate (RPA, CRM, CMS, SCV, ERP)
  • Deliver straight through processing of requests
  • Cognitive + RPA: amplify existing robotics installations with a cognitive front-end that can trigger processes