AI for Asset Management

Broaden your view, not your workload
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Learn how financial services leaders can bring market, company, and sector intelligence together in a governed environment built for research, analysis, and AI.

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Complete Company Views

Build a complete company view

No single source provides a complete investment view. Learn how to use multi-source, licensed intelligence to close your knowledge gap. Breadth of data matters when a portfolio manager (PM) needs a sector news digest without spending the morning assembling it manually, or when a senior analyst needs an industry backdrop to support a thesis before it goes to committee.

See the future of AI in asset management
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Faster Research, Reduced Risk

Fast-moving markets require powerful research

Investment research often requires analysts to move repeatedly between company information, filings, earnings materials, news, and industry sources before they can begin comparing evidence or developing a point of view.

AI can reduce some of that information-processing work by helping teams search across sources and create data-backed first drafts for further analysis.

Read more about streamlining research
Integrated Intelligence

Connect intelligence to your existing platforms

External intelligence creates more value when it is available inside the systems and processes investment teams already use. Research platforms, portfolio-monitoring environments, and internal AI applications all depend on timely, well-structured information to provide useful context.

Connecting licensed news, company, and business intelligence with internal data can reduce unnecessary context switching and make external developments easier to incorporate into research and monitoring workflows. 

  • Connect external intelligence directly into existing investment platforms
  • Feed licensed news and company data into portfolio monitoring systems
  • Reduce manual data pulls between research and monitoring tools
  • Keep internal views and external signals aligned in one workflow
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Executive & Reputational Risk

Leadership risk lives inside every portfolio

Financial statements don't capture everything that moves a stock price. An executive controversy, a regulatory inquiry, or a reputational story breaking in regional media can put an organization at risk before the impact shows up in earnings. AI-powered monitoring built on licensed adverse media and business data surfaces executive risk, controversies and reputational exposure across portfolio companies as they emerge, not during the next scheduled review.

Read more about AI-assisted risk management

Frequently asked questions

AI for asset management refers to the use of artificial intelligence and AI-enabled data sets to support investment research, portfolio monitoring and risk assessment. It helps analysts and portfolio managers process large volumes of company, sector and market data faster than manual research allows. 

AI reduces the time analysts spend searching, reading and compiling information across separate systems. It can generate company profiles, summarize industry research and produce cited drafts, allowing analysts to spend more time on analysis and less on assembly. 

Yes. AI-enabled data sets built on licensed news, filings and business data can surface early indicators, such as regulatory shifts or supply chain disruptions, that often precede movement in price data. Human analysis remains essential to interpret and act on those signals. 

Licensed data is sourced directly from publishers and providers, which supports accuracy and traceability. This matters for investment teams that need to verify a claim's origin before including it in research passed to a portfolio manager or investment committee. 

AI-powered monitoring tools scan licensed adverse media and business data continuously, surfacing executive controversies or reputational issues tied to portfolio companies as they emerge rather than waiting for a scheduled review. 

Yes. AI-powered platforms can integrate external intelligence, such as licensed news and market data, directly into internal investment platforms and portfolio monitoring systems, giving teams a combined view without manual data transfer. 

Get started with AI for asset management

Built for portfolio managers and analysts who can't afford to miss a signal. Fill out the form to talk with an expert or schedule a personalized demo. 

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