Introducing Sentieo Relevance Search

Sentieo’s overarching mission is to augment human decision-making through the application of the latest technologies. We are proud to demonstrate this with our most recent improvement to the platform:

Sentieo Continues to Lead In Search Tech with Relevance Search

Clients already love our smart Document Search, which offers:

  • tens of millions of documents, searchable across many dimensions
  • 1000+ synonyms/acronyms
  • extended Boolean operators and proximity
  • in-section/in-table/in-footnote searches
  • saved search alerts
  • extensive document tagging including sell-side report classifications
  • search statistics for quantifying trends
  • seamless integration into notes, and much more.

The newly released Relevance scoring algorithm, custom-built by our global team of data scientists, will surface documents most likely to be relevant to your search based on multiple factors derived from the statistical properties of the documents and the queries. For example, some of the factors considered are density within the document (inclusive of synonym matches), clustering, and recency. Relevance scoring is based on true machine learning and will only improve as Sentieo DocSearch “learns” over time. It gives you, the user, more time to focus on analysis where you add value, rather than on tedious searches.

But we didn’t stop there. Another new sorting option is Sorting by Hits — because we know that sometimes you need the most recent documents at the top, sometimes you need the document with the most hits (mentions), and sometimes you need the one that is the most relevant. You can now toggle between these sorting options in one click, which allows you to compare the results before you dive in. You can also sort by document size and by ticker for your multi/all ticker searches. You are in control of the format that fits your needs.

Users will find relevance searches suitable for broad initial overviews of topics: your search might pick up sector primer reports from the sell side, or a very topical deck from a corporate. Users more familiar with a topic might still prefer the reverse-chronological order of documents for the latest on the topic. And, for people getting specifically into details, we have the specialized searches, such as in-transcript, said-by-the-CEO, or in-table searches that let you find the numbers around your topic within seconds.

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And there is still a lot more to come. The 2019 Document Search product pipeline is better than ever, and you will see additional applications of AI/ML coming soon!

 

Our $19 Million Series A Round: What It Means For Sentieo and the Future of Financial Research Software

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By Alap Shah, CEO @ Sentieo: On behalf of the entire Sentieo team, I’m proud to announce that Sentieo has secured $19 million in Series A funding. We are thrilled to have Centana Growth Partners leading the round, and we couldn’t be more excited to welcome Eric Byunn to our board of directors.

This milestone caps 18 months of accelerating momentum at Sentieo, driving a tripling of our client base to 700, a doubling of our global headcount to 160 and the release of the Sentieo Notebook / RMS (Research Management System) for collaboration. While we’re certainly celebrating today’s milestone, fundraising is merely a means to our ultimate end- accelerating human productivity and collaboration in the financial space.

We’ve come a long way from our earliest days, when my brother Naman and I began building tools to improve my own research productivity in running our family office portfolio. Working with our early engineering team, I remember being struck by the huge and immediate performance boost I experienced when I was delivered search and analytics software that was custom built for my workflow. This new capital will help accelerate our R&D spend and go-to-market strategy to help us deliver this same productivity boost to more financial decision makers globally.

The pace of change continues to accelerate in the financial industry, with increased regulation, continued shifts to passive and quant strategies and shrinking trading commissions / fee pools. In our experience, the most important underlying change is the relentless explosion in data available to inform decisions. Beginning with the internet and accelerating with mobile, cloud and now AI, data is multiplying, together with the opportunity for insight. There is a prevailing narrative across industries including finance that algorithms are best equipped to generate this insight, translating to a growing loss of human jobs.

We see things a bit differently from our unique vantage point. AI and related technologies such as Natural Language Processing (NLP) are best at performing repetitive, trainable processes. In our world we use AI and NLP to help researchers take away the monotonous work of extracting financial data from tables, finding key management commentary in a transcript or alerting a user to changes in a company’s risk factors disclosures. Using our tools, analysts can drastically increase their speed and coverage without sacrificing the depth and accuracy of their work, freeing them up for more meaningful work that only humans can do. Getting out from behind their desks, researchers can visit more management teams, attend more industry conferences and spend time cultivating unique data sources to develop differentiated viewpoints on markets and industries.

Finally, as the stakes go up and the number of data inputs increase, finance continues to become more of a team sport. Our work with increasingly matrixed organizations with diffuse knowledge and skill sets has underscored the unique challenges in bringing an organization’s best thinking to bear in driving decisions. This institutional knowledge management and collaboration function is a uniquely human act that can’t be matched by machines. Sentieo’s Notebook / RMS is custom designed to enable humans and software to work seamlessly, automating knowledge sharing, cataloguing decision points, leaving a clear audit trail and allowing concise measurement of outcomes. The results are clear- better visibility, accountability and performance.

To see how Sentieo can make you Superhuman, simply go to Sentieo.com and sign up for a free trial. If you would like to receive content related to topics of interest in the markets, don’t forget to subscribe to the Sentieo Blog so that we can notify you of new posts by email.

Sentieo Voted “Best Artificial Intelligence Technology Provider” By 2018 Waters Technology Rankings

Last week at The Players social club in Manhattan, Sentieo was presented with the 2018 Waters Rankings Award for Best Artificial Intelligence Technology Provider. Alap Shah, CEO of Sentieo, and Geoffrey Suen, Product Specialist at Sentieo, proudly accepted the award for the team.

“This award means a lot to the Sentieo team because the Waters Rankings are voted on solely by software end-users,” says Alap Shah, the CEO of Sentieo and a former equity investor himself. “We’re happy that users are impressed with our AI-powered transcript sentiment analysis feature.”

These end users, who represent a large swath of the capital markets, cast their votes over a six-week period to determine the award winners.

Shah continued: “We’re honored to receive this award and are excited to continue delivering a comprehensive product for equity investors that includes easy sentiment analysis, document search, alternative data, collaboration, and many other cutting-edge features that they want and need —in order to be efficient and ultimately more successful.”