AlphaSense has launched its own 'Deep Research,' an autonomous AI agent that automates complex research workflows across the web, proprietary data sources, and enterprise files.
The tool aims to generate detailed analytical outputs in a fraction of the time traditional methods require, reducing tasks that once took days or weeks to just minutes.
AlphaSense uses a multi-model strategy, drawing on Anthropic, Google Gemini, and Meta’s Llama models to deliver high-quality outputs in various research scenarios.
The tool provides transparency by grounding AI-generated insights in source content, allowing users to trace outputs back to the original document.
Deep Research includes clickable citations for verification and follow-up, enhancing trust among business users making critical decisions in volatile markets.
AlphaSense's AI tools aim to support workflows such as generating primers, screening M&A opportunities, and preparing board briefings, offering tailored outputs based on user prompts.
AlphaSense aggregates over 500 million premium and proprietary documents, including exclusive content like sell-side research and expert call interviews, complemented by clients' internal data integration.
All data sources in AlphaSense are continuously updated, growing daily with new documents and expert calls to provide up-to-date information for analysis.
Considering security, AlphaSense ensures enterprise-grade protection with encryption, permissions management, and deployment options including single-tenant and private cloud deployments.
With the launch of Deep Research, AlphaSense aligns with the enterprise trend toward intelligent automation, aiming to simplify work in data-intensive environments by leveraging AI advancements for strategic clarity at speed and scale.