lyrical financial
Unstructured data transformation for ESG and portfolio optimization
lyrical financial™ is an industry-leading unstructured data transformation engine and semantic intelligence platform. lyrical’s core technology can be used to deploy a variety of custom AI solutions for asset managers, asset owners, risk and compliance, quantitative experts, and institutional investors across all asset classes.
lyrical powers new and innovative AI investment products for a variety of use cases by automatically finding signal in thousands of proprietary and public data sources to enable asset managers to make optimal decisions in real-time. The result is an adaptive, audit-capable, and agnostic knowledge discovery tool for prediction, pattern recognition, and insights automation.
portfolio analysis AND CONSTRUCTION
Analyze and predict portfolio performance across a variety of ESG factors to parse significant attributes to isolated holdings and assets to derive true insights on the optimal drivers of ESG performance.
company and industry sector research
Use public news sources and proprietary close captioning TV data to reveal predictive factors of influence for any asset management decision. Quickly identify emerging trends before they become viral headlines that impact portfolios.
manager selection
Perform more comprehensive due diligence when selecting asset managers for performance, competence and insight into ESG risks so you can choose the right manager for every project. Get immediate notifications on company and overall portfolio performance across material ESG factors to better understand the drivers of performance.
risk management
Integrate a variety of public and proprietary factors as well as ESG attributes into your risk management strategy. Monitor portfolios and entities with timely, transparent risk data. Pull from any public or private API for a custom real-time feed at both macro and micro investment levels.
DUE DILIGeNCE AND PRIVATE COMPANY ANALYSIS
Find risks and opportunities in your specific space, combine data through a variety of indices. Identify underlying patterns around material factors affecting your portfolio for further analysis. Understand the behavioral characteristics of markets. Our lyrical Catalyst AI™ engine can aggregate millions of multi-language sources to find key information on public and private companies for real-time investment optimization.
alternative integrated data sets
Having access to alternative data and the means to harness both structured and unstructured attributes is now the most significant competitive advantage for investment managers seeking superior market returns. Leveraging unique data sets from public sources like social media, news sites, blogs, and public APIs will provide the means for predictive intelligence.
AI for ESG insights
Sustainability factors such as climate change, diversity, privacy and corporate governance have significant financial impact on a company’s cost of capital and operating health. Increasingly, investors are seeking reliable, high quality data on ESG profiles of companies around the world. lyrical can find hidden dimensions and ESG factors that drive alpha for every unique portfolio strategy.
custom alpha scoring for custom ai products
Understand a variety of factors to create a custom modeling framework for any company’s alpha score. Map company and portfolio characteristics to investor personas for growth and material ESG insights. Use AI to create new investment products and solutions.
Build New AI-Powered Investment Products
lyrical’s products and services can transform your firm into a completely AI-powered organization. Build new AI financial products for managing risk and uncovering opportunities to outperform. The vast majority of data available on companies is unstructured. By bringing flexibility, structure, and numerical value to just a small fraction of that data through our proprietary semantic engine, deploy an AI solution of your choice that can deliver precise and unique investment insights:
Incorporate a new breed of ESG data that is uncorrelated and additive to common quant strategies
Monitor macro and micro events that could impact portfolio value
Better understand the opportunity or risk related to each event for deeper predictive insight
Discover alpha through vast swaths of public data, parsed through supervised and unsupervised machine learning processes
Easily assess a company’s risk exposure and identify issues to determine future value
lyrical Catalyst works on existing big data infrastructure, on bare metal or on top of existing Hadoop or Spark clusters. It can ingest both structured and unstructured data directly from HDFS, Spark, S3, Azure Data Lake or any other data source into it’s in-memory distributed key value store.
Distributed, In-Memory Machine Learning
lyrical Catalyst takes advantage of the computing power of distributed systems and in-memory computing to accelerate machine learning using it’s industry parallelized algorithms which take advantage of fine grained in-memory map reduce.
Seamless Deployment
Quickly and easily deploy models into production with Java (POJO) and binary formats (MOJO). In addition, lyrical models can be production-ready in a host of different workflows and frameworks custom to your enterprise architecture.
