AlphaSense clients include some of the top financial institutions:
Overview
| Feature | AlphaSense | Rogo |
|---|---|---|
| Advanced AI search that picks up on relevant synonyms and tone/sentiment | ✓ | ✕ |
| Access to expert call library and broker research | ✓ | ✕ |
| Live transcripts that allow users to view past, current, and future event transcripts in a calendar and view event transcripts in real time | ✓ | ✕ |
| Has applications outside financial services | ✓ | ✕ |
| Seamless user interface with intuitive UX design | ✓ | ✓ |
| Ability to upload your own internal content | ✓ | ✓ |
| Integrations | ✓ | ✓ |
| AI search technology can be applied to any integrated or uploaded data for better search | ✓ | ✕ |
| Generative AI chatbot | ✓ | ✓ |
| Generative AI summarization capabilities | ✓ | ✓ |
| Generative grid feature that applies multiple genAI prompts on many documents at the same time and gives answers to research questions at scale, in an easy-to-read table format | ✓ | ✕ |
| Pre-built, ready-to-use financial models that update automatically | ✓ | ✕ |
| Ability to set up monitoring tools (like alerts, reports, and dashboards) | ✓ | ✓ |
| Mobile app with access to all content and AI features from the platform | ✓ | ✕ |
Rogo
Rogo is a relatively new-to-market generative AI platform built specifically for investment banks and private equity investors. This is an enterprise-grade platform with proprietary financial AI that helps financial services firms automate their workflows, uncover insights, and make data-driven decisions.
Rogo searches, analyzes, and cites across millions of documents, including your proprietary internal library and Rogo’s library of content, to save time and unlock insights. However, Rogo’s external content is not proprietary and does not include expert calls or sell-side research, both of which are integral for comprehensive financial research.
Rogo’s AI uses a variety of OpenAI models, but the LLM is built for financial services use cases. However, users report that Rogo’s AI is prone to significant hallucinations, which is a serious issue for investment research.
Rogo’s platform includes the following features:
Analyst Chat
This is Rogo’s LLM-powered chat-based experience, similar to OpenAI’s ChatGPT. According to Rogo, Analyst allows users to “analyze datasets to generate instant, accurate answers, supported by auditable citations.”
Data Integration and Search
Rogo allows users to search across their own internal data, as well as Rogo’s library of over 65 million sources, including market research reports, SEC and international filings, company and event transcripts, live news, and private company information.
Agent Framework
This is Rogo’s workflow automation feature, which incorporates purpose-built agents that are designed for financial workflows and help users automate various repetitive tasks, such as slide creation, meeting prep, document summarization, and more. Users can also use Agent Framework for complex financial analyses, extraction of themes across earnings calls, and identification of market trends across historical data.
Customizable Platform
The Rogo platform allows users to create customizable reports. Technical teams can also use their APIs and SDKs to pair agents together and develop cost-effective scalable AI solutions that are made for internal use cases.
Enterprise Capabilities
Users can upload internal content through Rogo API, third-party connectors, or cloud solutions. They can also integrate their internal data, including slide decks, CIMs, investment memos, models, spreadsheets, structured data, data rooms, meeting notes, etc. for easy reference and searchability.
Rogo prioritizes security, privacy, and compliance — they adhere to all industry best practices and compliance standards, ensuring that user data stays private.
Rogo Pros:
- Facilitates enhanced productivity
- High customizability
- Purpose-built for financial services needs and workflows
- Allows users to integrate their internal data and upload internal content through APIs or third-party connectors
- Offers enterprise-grade security and data privacy
- Easy-to-use interface
Rogo Cons:
- Primarily serves investment banking and private equity users; limited applications outside these roles
- Platform has a cluttered look and feel
- Search results often yield very high-level data that lacks depth and comprehensiveness
- No generative grid capabilities
- No live transcripts
- Relies on partnerships for key datasets
- Lack of proprietary content sets, especially sell-side research and expert calls
- No expert call services
- AI is prone to hallucination
- Low brand recognition and very early stage start-up
- No mobile app
AlphaSense
AlphaSense is a leading enterprise-grade market intelligence and AI search platform built for robust financial and market research. This platform is designed for financial services and corporate professionals looking to implement a comprehensive research strategy powered by automated features and proprietary AI technology.
Consistently ranked as an industry leader by TrustRadius and G2, AlphaSense was also recently named one of Fortune’s Top 50 AI Innovators.
Here’s how AlphaSense enables you to extract insights and answers from both high-value internal and external content with the power of artificial intelligence and generative AI — all on a single platform.
Extensive Out-of-the-Box Content Library
AlphaSense allows you to combine valuable internal content with 10,000+ private, public, premium, and proprietary external data sources into one platform.
Our external content sources include trade journals, news, regulatory documents, earnings transcripts, investor presentations and other company documents, and SEC and global filings. AlphaSense users also have access to two premium and proprietary content offerings. These are:
- Wall Street Insights® – A collection of broker research covering global sector themes, industries, and companies from 1,000+ sell-side and independent firms, available within the AlphaSense platform. Research professionals can even preview the contents of a broker report, saving them wasted time and money on potentially fruitless research.
- Expert Transcript Library – 185K+ proprietary one-on-one call transcripts with industry experts, competitors, customers, partners, and former and current executives, with the ability to conduct your own 1:1 expert calls for less.
In July 2024, AlphaSense acquired expert network company Tegus, bringing unparalleled access to even more insights, and covering more industries and companies than ever before. Learn more about the combined offering at AlphaSense and Tegus.
Enterprise Intelligence
In addition to the external content sources listed above, AlphaSense’s Enterprise Intelligence solution allows you to upload and search through your own internal content. That includes:
- Internal research, notes, and presentations
- CIMs and investment memos
- Reports from industry and market intelligence providers
- Emails, newsletters, web pages, and RSS feeds
In this way, AlphaSense centralizes all your knowledge in one place — the internal and external — and allows you to leverage our industry-leading search, summarization, and monitoring tools to enhance and accelerate your research.
Our genAI capabilities deliver instant, accurate, and secure summarizations with the ability to ask follow-up questions across both your proprietary internal content and hundreds of millions of premium external documents.
AI Search & Summarization Technology
AlphaSense has invested 10+ years into the development of our tech stack. Our industry-leading suite of AI tools is purpose-built to deliver business-grade insights:
Our generative AI chat experience transforms how users can extract insights from hundreds of millions of premium content sources. Generative Search is trained to think like an analyst, so it understands the market research intent behind your natural language queries. Whenever you search for information, Generative Search helps you get up to speed on a company or topic by instantly getting you the answers you need. You can dig deeper into topics by asking follow-up questions or choosing a suggested query. Each answer will always provide citations to the exact snippet of text from where the information was sourced.
Our newest generative AI tool, Generative Grid, applies multiple genAI prompts on many documents at the same time to quickly provide organized answers to research questions at scale, in an easy-to-read table format. This enables clients to summarize documents using pre-built criteria to save time when executing repeatable workflows.
Generative Grid pulls data from both premium external documents in the AlphaSense platform and users’ internal content. From there, users can choose preset templates or create their own to automate routine workflows. Each summary provides a direct citation to the source material it was pulled from.
Below is an example of how Gen Grid can be used for fast and easy CIM analysis:
This feature allows you to glean instant earnings insights (reducing time spent on research during earnings season), quickly capture company outlook and bull/bear cases from analyst research, and generate an expert-approved SWOT analysis straight from former competitors, partners, and employees. All Summaries provide you with citations to the exact snippets of text from where the summaries are sourced — combining high accuracy with easy verification.
This unique feature is proprietary to AlphaSense and has the ability to understand both the keyword and search intent behind any of your queries, factoring in search results that include variations in business language. For example, a search for “TAM” will also bring back results on “addressable market” and “market size.”
Relevancy Algorithm
AlphaSense’s advanced algorithm also eliminates noise (i.e., content with matching keywords but ultimately irrelevant to your specific search objective) and surfaces only the most relevant results based on market research workflows. This algorithm saves you precious time and energy, allowing you to get straight to analysis and other high-level tasks.
Sentiment Analysis
Sentiment Analysis, a natural language processing(NLP)-based feature, parses through content and identifies nuances in the tone and subjective meaning of text. It then uses color coding to help readers identify the document’s positive, negative, and neutral sentiments.
This technology assigns each search term a numerical sentiment change score to help users track any slight change in market sentiment over time. Users can take advantage of it to make better-informed investment decisions and improve risk management strategies.
Integration Capabilities
Customers can easily integrate content at enterprise scale through our Ingestion API or enterprise-grade connectors — like Microsoft 365/Sharepoint, Box, Google Drive, S3, and more.
Our integration capabilities allow for more streamlined collaboration with members across your organization and improve overall team productivity. Our proprietary AI technology allows you to search across all internal and external company content to find crucial insights, catching what other platforms miss in a secure and automated way.
AlphaSense also offers content processing and content management. Content processing allows company recognition within user documents, while content management features support custom tags, metadata and folder structures to better search through internal content.
Monitoring, Analysis, and Collaboration Tools
AlphaSense is designed to help users find insights faster. In order to do that, we offer a number of tools that extend beyond search and summarization to help users accelerate research tasks.
- Customizable dashboards create a centralized information hub for monitoring key companies and themes, while tailored alerts provide real-time updates.
- Powerful collaboration tools like Notebook+ and commenting featureshelp teams manage and share insights more effectively.
- Table Toolsallow you to move faster with spreadsheet-style visualizationsdirectly from company filings, so you can chain together, edit, and optimize tables for analysis.
- Image Searchallows you to discover insights buried in charts to quickly capture data without reading through pages of documents.
- Snippet Explorerallows you to effortlessly look at any topic or theme and all its historical mentions in a single view.
- Our Black-liningfeature allows you to automatically identify any QoQ changes in SEC filings.
- Automated Monitoringallows you to set up real-time alertsthat send instant updates on any relevant market movements, news, emerging trends, and competitor activities. We also generate snapshots of companies and topics regularly that keep you ahead of the curve with actionable insights.
AlphaSense Strengths
- Extensive content database that spans key market perspectives, including broker research, expert calls, company documents, news & regulatory sites
- 10+ years of investment in AI
- Incorporates AI search technology, machine learning, and sentiment analysis
- Generative AI features like Generative Search, Smart Summaries, and Generative Grid for enhanced and streamlined workflow
- AI and genAI tools can be applied to integrated internal content
- 4,000+ pre-built financial models that update automatically
- Live transcripts that allow users to view past, present, and future event transcripts in a calendar and view event transcripts in real time
- Automated and customizable alerts
- All-in-one research platform
- Mobile app that includes all platform content and AI search capabilities
- User-friendly interface
- Internal note-taking, sharing and collaboration features
- Support for APIs and integrations
- Supports enterprise-level organizations and teams
- Enterprise-grade data production complying with global security standards: SOC2, ISO270001, FIPS 140-2, SAML 2.0
- Excellent customer support team, including 24/5 chat with product specialists, a Live Help button on the website, and regular live AlphaSense Education webinars
AlphaSense Weaknesses
- Visualization tools are limited at this time
- Collaboration tools are limited to users with AlphaSense licenses
AlphaSense is trusted by the world's leading firms:
95%
of the top consultancies
80%
of the top asset management firms
20
largest pharmaceutical companies
88%
of the S&P 100
Frequently Asked Questions
Generative AI is one of the top ways financial firms can increase efficiency, reduce manual effort, and ultimately, get the competitive edge. With genAI, you can spend less time conducting manual searches or searching for a needle in the haystack because the technology does all the heavy lifting for you.
Here are some key investment research use cases that genAI can serve:
- Get more out of equity research– GenAI optimizes the consumption of equity research by surfacing specific and relevant data points, insights, and themes that are of most interest to the user. Rather than manually parsing through countless documents, you can get intelligence in a fraction of the time, along with exact citations to document snippets.
- Financial analysis– GenAI parses through financial data like 10K filings, earnings transcripts, and IR presentations in seconds, instantly extracting key insights from the quantitative data and helping you discover patterns that would otherwise be impossible to see.
- Due diligence– GenAI quickly processes financial statements, contracts, transaction histories, and other critical documents, identifying anomalies, trends, or risks that might be missed in a manual review. This both speeds up the due diligence process and improves accuracy.
- Deal sourcing– In the PE space, genAI streamlines the deal sourcing process by automating the discovery and analysis of potential investment opportunities. By screening through vast amounts of data from various sources, genAI can help identify high-potential deals that align with specific investment criteria — all in less time and with less risk of missed opportunities.
- Knowledge sharing– GenAI can scour huge volumes of external and internal data, accurately summarize the content in a digestible format, answer any of your questions about the content, and accelerate the speed to insight.
- Market research– GenAI transforms market research by speeding up time to insight and maximizing the value extracted from each content source. It enables investment teams to spend less time on manually searching for information and more time on analysis and strategy — ultimately resulting in greater efficiency, effectiveness, and confidence.
Related Reading: Generative AI for Investment Research
