What is our primary use case?
My main use case for AlphaSense is market research, competitive intelligence, and quickly searching through earnings calls, filings, and industry reports.
A specific example of how I use AlphaSense for market research and intelligence is tracking competitor mentions in earnings transcripts and identifying market trends faster using keywords, alerts, and AI-powered search.
Additionally, I have found that AlphaSense is useful for consolidating research from multiple sources into one platform, which saves significant time during analysis.
How has it helped my organization?
AlphaSense has positively impacted my organization by helping us speed up research workflows, improve competitive analysis, and reduce the time analysts spend manually reviewing reports and earnings calls.
We have reduced research time by approximately 30 to 40%, especially when reviewing earnings transcripts and industry reports, allowing an analyst to process far more documents in the same amount of time.
What is most valuable?
The best features AlphaSense offers are its AI-powered search, smart synonyms, earnings call transcript search, real-time alerts, and document summarization tools, which make it much faster to find relevant insights across large amounts of research content.
The AI-powered search in AlphaSense helps me find relevant mentions even when different terminology is used, and the summarization tool saves me time by quickly highlighting key points from long earnings transcripts or analyst reports.
The alerting system is useful because it keeps us updated on competitors, industry keywords, and company filings without needing constant manual monitoring.
What needs improvement?
AlphaSense could improve its dashboard customization and make some advanced filtering options more intuitive for new users.
Pricing can also be high for smaller teams, so more flexible licensing options would make the platform easier to scale across departments.
For how long have I used the solution?
I have been using AlphaSense for one year.
What do I think about the stability of the solution?
AlphaSense has been very stable for us overall, as its search performance and platform uptime have generally been reliable even during heavy research periods. Scalability has also been strong, handling large volumes of users, transcripts, filings, and research data without major performance issues as usage grows.
How are customer service and support?
The customer support for AlphaSense has been good overall; the team is responsive and knowledgeable, especially during onboarding and research-related questions, although some complex requests can still take time to resolve.
I would rate the customer support for AlphaSense around 8 out of 10, as they are generally responsive and helpful, especially for onboarding and platform guidance.
Which solution did I use previously and why did I switch?
Before AlphaSense, we relied more on manual research using Bloomberg, Google searches, and separate news databases, but we switched to consolidate research and improve search efficiency with AI-driven insights.
What was our ROI?
I have seen a return on investment mainly through time savings, as analysts spend roughly 30 to 40% less time searching through reports and earnings calls, which has improved research turnaround without needing to expand the team.
Which other solutions did I evaluate?
Before choosing AlphaSense, we also evaluated Sentieo, Bloomberg Terminal, and FactSet.
What other advice do I have?
I would recommend spending time setting up good keyword strategies and alerts early on because AlphaSense becomes much more powerful once it is tailored to your specific research needs.
AlphaSense has become a core part of our research workflow, especially for speeding up competitive intelligence and making information gathering much more efficient. I would rate this review an 8 out of 10.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Other