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About Sentieo

Sentieo is a research software platform from AlphaSense that helps users search millions of research documents to find company data and market insights quickly. It combines financial data, enterprise intelligence, and expert insights so users can make informed decisions. Users can explore features, tools, and workflows designed for effective market research. Additionally, Sentieo provides access to trusted content and partners, which power crucial insights for various business needs. Key capabilities: financial data enterprise intelligence content & partners Tegus expert insights research document search Best for: financial analysts and market researchers that need quick access to comprehensive market and company information.

Sentieo Details

Vendor
AlphaSense
Year Launched
2011
Location
24 Union Square East, 5th Floor
New York, NY 10003
Deployment
cloud
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English
Users
Equity research analysts, portfolio managers, corporate strategists, buy-side analysts, hedge funds, and institutional investment teams.
Industries Served
Investment management, corporate strategy, financial services, private equity, credit research, ESG investing.
Tags
Financial Intelligence, Research Platform, Alternative Data, ESG Research, Equity Modeling, Document Search, Investment Research, AI‑Powered Analytics

Sentieo's In-App Market Place

Does Sentieo have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

Usd ($), Gbp (£), Eur (€), Jpy (¥), Cny (¥), Cad ($), Aud ($)

Pros & Cons

  • Consolidates multiple research tools into one platform, improving efficiency for investors and analysts.
  • AI-powered search and summarization save significant time when processing dense financial documents.
  • Deep data coverage, including both public and private companies, gives a more complete picture of the market.
  • Alternative data integrations (e.g., consumer transaction data) provide unique insights that traditional tools may miss.
  • Strong collaboration tools make it easy for teams to work together, annotate, and share research
  • Full feature set can be expensive, potentially limiting accessibility for smaller firms or individual users.
  • Some users may face a learning curve to fully leverage advanced features like Table Explorer and custom dashboards.
  • Overwhelming volume of data and reports may be difficult to manage without disciplined research workflows.
  • Performance of AI-driven tools depends on the quality of the underlying data; noisy or low-quality content may reduce usefulness.
  • Because it’s cloud-based, it requires a stable internet connection for optimal performance.

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