Instantaneously visualize sentiment changes by topic and importance on a company-by-company basis. Quantify and visualize shifts from quarter-to-quarter and year-to-year. Construct intelligent micro-to-macro trend views to reveal the complete picture.
Search S&P 500 company earnings call transcripts going back 10 years. Run advanced queries that can understand the contextual meaning of industry-specific language. Return relevant results that unveil valuable insights for better-informed decision making.
Individual snippets for any earnings call can be color-coded, removed, and re-categorized to preferred categories. Users can annotate the text with comments, and save everything in a secure company repository.
Enables analysts and associates to focus their attention on ideation, hypothesis testing, and analysis while Topic Deltas prepares the call notes. Replicates the notes that an analyst would take on an earnings call by filtering, extracting and organizing all relevant snippets in intuitive categorizations built for investment analysts.
Conduct research in a granular bottom-up way across all financial documents. Boost research workflows with human-like accuracy scoring sentiment and classifying language into financial topics. Identify key themes, surface valuable insights and reveal hidden patterns into company fundamentals.
Conduct a side-by-side comparison of snippets on a specific topic across multiple companies or multiple transcripts for the same company. Finding opportunities and validating the supporting information impacting markets is faster and more objective.
With live audio transcription, there is no need to wait for earnings call transcripts. Immediately begin your analysis while earnings calls are in progress. Get ahead of the competition and be the first to surface valuable and actionable intelligence.
Using a hybrid of deep learning models comprising of sequential and feed-forward neural networks Topic Deltas can consistently classify sentiment with 96% accuracy.
Accrete technology has the unique ability to adapt dynamically. The system is continuously learning and improving as it incorporates new information and contexts. Developing a richer understanding and delivering differentiated outputs yielding predictive value.
By adaptively understanding industry context, the machine accurately computes sentiment with a high-level of semantic accuracy. It can understand granular concepts and weigh the importance of topics relative to their value within each industry.
Quickly digest and distill thousands of financial documents. Compile hundred’s of hours of tedious analysis into minutes with super-human accuracy.
Topic Deltas assigns a numerical value to the semantic details of language, considering both context and nuance. Users can manipulate graphical representations to find previously indiscernible patterns.
Re-train and extend the system to understand a domain of expertise relevant to your business. Financial institutions are using Accrete’s unique abilities to add value within specific company verticals such as ESG, fixed income, internal analyst notes, etc.
Topic Deltas implements a classification scheme that utilizes hierarchical, industry-agnostic categorizations. Developed by industry experts to maximize algorithmic performance and sync up with the method in which discussions are ingested into financial models - replicating how fundamental analysts would build a model.
The Accrete architecture is purposely designed to enable the rapid development of robust enterprise AI solutions. We have developed core ‘knowledge functions’ that can be interconnected to automate analytical tasks with human-like accuracy. Working closely with our clients, Accrete builds applications that are continuously learning and adapting to dynamic environments. By scaling human expertise and adapting to dynamic information, we can provide accurate predictions needed for important decision making. Learn More