Introducing Deep Research in AlphaSense

Today, we’re launching Deep Research in AlphaSense to give our users across investment banking, private equity, hedge funds, corporate strategy, business development, and consulting access to leading-edge generative AI reasoning models across their most valuable content sets, transforming how research is conducted for due diligence, M&A prep, clinical trial research, and so much more.

When you use Deep Research mode to ask a question, it will perform dozens of searches, parse through thousands of potentially relevant results, and reason over all of it to produce comprehensive, detailed analysis about any topic — like having a team of highly-skilled analysts who can work at superhuman speed on your behalf.

And while other deep research tools only have access to content scrapable on the open web, the analysis produced by AlphaSense’s Deep Research is sourced from 500M+ premium documents on public and private markets, alongside your firm’s own proprietary data. 

 

What is Deep Research?

Deep Research is a mode of our existing conversational search tool, Generative Search, which is already adept at answering common research questions. Deep Research expands on those capabilities, taking more time (10-30 minutes) to “think” deeply about your question, and as a result, producing extremely high-quality insights about complex or nuanced topics. 

You can think of Deep Research’s approach to producing analysis in five steps: 

• Planning – Deep Research transforms your prompt — however simple or detailed — into a multi-step research plan. This plan is iterative, meaning it will change and adapt as the model “discovers” new information in the next step. 
• Searching & Iterating – Deep Research autonomously searches across AlphaSense’s market-leading library of premium and proprietary content — tens of thousands of sources — to find the most relevant information. It will continue to adjust its searching strategy as more information is discovered. 
• Reasoning – Deep Research shows its thinking as it reasons over information gathered, explaining rationale for including certain types of sources, and outlining each decision made, allowing you to easily follow its train of thought.
• Reporting – Deep Research “writes” comprehensive analysis, following any formatting instructions provided in the prompt. 
• Reviewing/Auditing – Deep Research provides granular in-line citations throughout its output allowing you to click through to underlying sources, read further context, and continue your research.

 

When to Use Deep Research

Deep Research is built to excel at tasks that require thoughtful, in-depth analysis that may have previously taken your team days or even weeks of work to produce. Over the course of a query, it searches, filters, and refines information, doing dozens of iterations you would never have the time for. 

Early users are leveraging this new functionality for everything from ramping on a new company or industry to testing new ideas and screening for potential partnerships or acquisitions. Below is real analysis generated by Deep Research in AlphaSense.

M&A Screening 
Provide a concise summary of 5-10 pages of specific companies, organized by sector, that Uber could acquire that would fit with its acquisition strategy and strengthen its competitive positioning. Read full results.

Other prompt ideas

Idea Generation

How can hardware companies like Apple and its competitors diversify their supply chain strategy? Please use all sources to explain hardware company exposure to China. Please explain associated cost benefits. Please summarize with key issues to begin. Please speculate on potential outcomes. 

Hypothesis Testing

I’m trying to test the thesis that power demand is going to skyrocket due to AI, and that nuclear will be a key beneficiary. Please try to first prove, then disprove, the thesis. Finally, give your assessment on which side is more convincing, and give me a target list of public companies to go long or short, depending on your conclusion. 

Comparative Analysis

Contrast GM’s localization strategy with Hyundai, Toyota, & Kia. Explain timelines, costs, & benefits. How can a GM executive overcome the largest obstacles to localization? Do not present general background information; assume the report recipient has extensive industry knowledge. 

Company/Industry Deep Dives

Discuss the standard of care for melanoma and focus on areas where new treatments are being introduced. Prioritize Doctor and Scientist input from expert calls as much as possible. Use quantitative data and charts to support the research where relevant. 

 

The Future of Business & Financial Research is Here 

Banking and strategy teams live and die by information advantage, yet they waste thousands of valuable hours each week manually searching for and compiling critical intelligence. This manual process creates bottlenecks in decision-making, and there’s a high risk for missing key signals, directly impacting revenue and competitive position. 

Over the past year, generative and agentic AI usage within AlphaSense has skyrocketed, with our clients leveraging tools like Generative Search and Generative Grid to automate large-scale research and synthesis for common workflows like earnings prep, CIM analysis, M&A screening, ramping on a new company or industry, competitive landscaping, and so much more. 

The introduction of Deep Research models into the market earlier this year promised further transformation of how research is conducted — driving productivity and confidence, while opening up bottlenecks. But the current offerings lack access to critical, premium sources of data. That’s where AlphaSense can fill a critical gap for your team. 

Try Deep Research today.