Accern accelerates AI workflows for enterprises with a no-code development platform.
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Accern accelerates AI workflows for enterprises with a no-code development platform. The best data teams from the world’s leading organizations, such as Allianz, IBM, and Jefferies, are using Accern to build and deploy AI solutions powered by our adaptive NLP and forecasting features. Headquartered in New York, NY, Accern is a Forbes 30 Under 30 company and venture-backed by Fusion Fund, Allianz Life Ventures, and many others. For more information on how we can accelerate AI adoption for your organization, visit accern.com.
- United States of America
Data OfferingWeb Scraping DataAlternative DataCryptocurrency DataESG DataStock Market DataResearch DataNews DataSocial Media DataNatural Language Processing (NLP) Data
Subscription based pricing on all data.
*Pricing is dependent on frequency, history, analytics & asset class coverage
**Custom solutions are available. Please inquire for more information and trial details. **
Hedge Funds, Investment Banks, Asset Managers, Brokers, Insurance, Research Firms
Data Sources & Collection
Public News & Blogs: The Public News & Blogs dataset utilizes data harvested from over a billion websites scraped in real-time to derive 60+ metrics per signal extracted. Accern scrapes public news/blog websites that produces actionable and accurate financial news information and incorporates very strict noise cancellation algorithms. The metrics derived include sentiment, impact, reliability scores, etc. Accern’s Public News & Blogs datasets include 5 years of historical data for backtesting. Streaming data is available via resftul API and is available intraday, daily, weekly, etc. based on the clients preferred method.
Dow Jones Newswires: Accern’s Dow Jones dataset utilizes data harvested directly from the Dow Jones Global Newswire in real-time to derive 30+ metrics per signal extracted. The metrics derived include but are not limited to sentiment, impact, reliability scores, etc. Accern’s Dow Jones dataset includes 14 years of historical data for backtesting. Streaming data is available via restful API and is available intraday, daily, weekly, etc. based on the client’s preferred method.
EDGAR SEC Filings: Accern’s SEC 10K dataset extracts theme-based signals for all US companies from the past 15 years of SEC 10K filings. These signals are the only commercially available dataset constructed using natural language processing techniques, powered by Accern’s TITAN Engine, which is benchmarked as providing industry leading precision. The generated signals can be used as part of a quantitative investment strategy or on a discretionary basis to identify a company’s exposure to themes such as ESG, Corporate Actions and M&A, Company Financials, Product Developments, Legal Actions and Credit Events.