Platforms · Software · Providers · Markets
Benzinga and WNSTN have launched an AI assistant that brokers can add to their apps through an API or offer under their own brand. The vendors present the service as a way to move customers from market research to placing orders without leaving the brokerage platform. They say it can increase retail trading frequency.
The two companies announced their partnership in June 2025. WNSTN's conversational tools have since been used in Benzinga Pro for chat, news summaries and market analysis, and for localised conversations on Benzinga's international websites. The latest product makes that technology available to outside brokers.
Benzinga provides the underlying market material, including corporate events, earnings details, regulatory filings, analyst ratings and financial news. Its datasets are also intended to explain share-price movements. WNSTN's assistant uses the information to tailor answers and summaries to a customer's portfolio, track relevant developments and present investment ideas within the broker's interface.
Customer activity is a central part of the vendors' case for adoption. WNSTN analysed trading at an unnamed US broker-dealer and found a higher median daily trade count among people who returned to the assistant than among non-users, after excluding outliers. It also says roughly half of people who chatted with the tool traded within 24 hours. The launch and study were reported by Finance Magnates.
| Measure | Reported figure |
|---|---|
| Trades included in WNSTN's case study | More than 88,000 |
| Study period | Approximately 12 months |
| Median daily trading by repeat users compared with non-users, after outliers were removed | 2.3 times |
| Chat users who traded during the next 24 hours | Roughly half |
What an operations team should check
Brokers will need to establish what portfolio information the assistant requires, how it is supplied and how often it is refreshed. The source does not specify the integration's data flow, response times or the records available to a broker for review. Teams should check those details for both the API and white-label deployment options.
WNSTN says each answer is reviewed by a separate Compliance Officer agent trained on US and European regulatory requirements. That process does not guarantee that responses are accurate or compliant, and answers may be interpreted as personal recommendations. Operators should ask how the agent's decisions can be examined, how questionable responses are escalated and what supervision sits with the broker.
