Based on your firm’s data and business intelligence, as well as through deep representational learning, a multi-dimensional Natural Language Processor distills and discerns questions to find relevant information and generate next-best topic prediction or best question. We use statistical inference and predictive analytics on large data sets, coupled with conversational memory and a knowledge graph to deliver more accurate and personalized conversational experience.
An interpretation layer enables engagement with the end user through a thin client that delivers synthesized data and insights, and includes a conversational interface that interacts with the synthesis engine.
An insights engine integrates existing analytical models your firm has built. We enrich data by integrating demographics, customer trading history and predictive models to understand and visualize relationships.
An Enterprise Sensory Network provides highly innovative data integration that wraps data from in-house applications into a secure container, processes large volumes of structured and unstructured data and creates a record of activity across all systems.
Our data is enriched with data harvested from neural networks and machine learning algorithms. We process large volumes of structured and unstructured data using NoSQL data lake for ingesting and munging sell-side research, real-time news, asset prices, time series data, and product data for 35,000 companies in 450 markets within equities, commodities, fixed income, foreign exchange and money markets, as well as mutual funds, ETFs, hedge funds and indices.
Peta-byte scale, ultra-fast distributed data store leveraging technologies based on Hbase. Processing billions of data points at terabyte scale in seconds enables ForwardLane to make sense of data fast.
We deliver unique insights into complex inter-relationships across markets, events, clients, portfolios and other factors leveraging knowledge graph representations, visualization and industry leading neural networks.
As members of the Enterprise Data Management Council, we have integrated the Financial Industry Business Ontology (FIBO) standard with our proprietary ontologies, which is peer-reviewed by FINRA-licensed financial experts and encompasses over 8000 financial terms.
Simple, efficient, smart – Proprietary search algorithms bring together both structured and unstructured search results, tapping into concepts and their relationships by traversing knowledge graphs and federated, distributed data stores.
ForwardLane is a member of the Enterprise Data Management Council and contributors to the peer-reviewed Financial Industry Business Ontology. We employ advanced applications of FIBO, in conjunction with our unique flexible dynamic ontologies.
Using logically consistent definitions, we can continuously improve accuracy and be an accurate source trusted by clients.
Pricing, fundamentals on 35,000 companies worldwide
Realtime Machine-readable news – Corporate and Global a specific event news
Market Psych Sentiment Indices quantitatively driven from Twitter and Social Media
Sell-side Embargoed Research
Starmine Analytics – quantitative Analyst Revisions Models which uses NLP, text mining and quantitive scoring to predict bullish and bearish signals
Macroeconomic indicators and data
Morningstar Analyst Ratings – including Morningstar Star Ratings
Daily and Historic Data – Open Ended Funds, Closed Ended Funds, Mutual Funds, ETFs, Commodities
Morningstar Indices – Target date, Country, Allocation, Global Equity, Country (Ex-US)
Holdings level data for funds
Hedge fund pricing data
Department of Labor and Fiduciary standards
Master Reference Data
Global equities pricing for 450 exchanges
Global bond data
FX currency pairs
Demographics, interests, income brackets, post code, house value