Benzinga and WNSTN Expand Collaboration to Bring a Joint AI Solution to Brokerages

After over a year of Benzinga AI running inside Benzinga Pro, the two companies are taking a combined offering to market, pairing WNSTN's compliant AI layer with Benzinga's real-time and historical market data

DETROIT, Oct. 13, 2026 /PRNewswire/ -- Benzinga, a leading provider of real-time financial news, market data, and financial APIs, today announced an expanded relationship with WNSTN, an AI personalization and engagement platform built for financial institutions. The two companies will go to market together with a combined solution for brokerages, with WNSTN providing the AI intelligence layer and Benzinga providing the real-time and historical data that grounds it.

The expansion builds on a year of collaboration inside Benzinga's products. Since launching across Benzinga Pro in 2025, Benzinga AI, powered by WNSTN, has delivered natural language chat, news summarization, and market analysis to Benzinga's base of active traders and financial professionals. The product has generated strong user adoption, including 25x increase in engagement, giving both companies the confidence to take the technology beyond Benzinga and make it available to a broader set of financial platforms.

For brokerages, the offering is designed to shorten the distance between wanting AI in the client experience and being able to defend it internally. WNSTN supplies multiple touchpoints that sit on top of data, including a conversational layer, portfolio-aware personalization, always-on market monitoring, actionable investing ideas, tailored summaries and a compliance agent trained on global regulatory frameworks including FINRA, SEC, CySEC, and MiFID II, with every output routed through that layer before it reaches an end user. Benzinga supplies the underlying market intelligence, including real-time equities news, analyst ratings, earnings and corporate events, SEC filings, and Why Is It Moving explanations of price action, alongside historical archives for retrieval and context.

Data quality has become a practical constraint on financial AI. Models answer confidently regardless of whether the information underneath them is current, correctly attributed, or tagged to the right security, and in a brokerage environment those failures carry regulatory weight. Structured, timestamped, entity-tagged market data reduces that exposure at the retrieval layer, before any guardrail is asked to catch it.

"Most of the failure modes in financial AI trace back to the retrieval layer rather than the model itself," said Dave Maher, CEO of Benzinga. "If the data arrives late, or without clean timestamps and entity tagging, the output is confidently wrong, and in this industry that gets expensive. Running Benzinga AI on our own feeds inside Benzinga Pro for the past year gave us a live test of that, and answer quality tracked directly to the structure of the data underneath it. WNSTN built the orchestration and compliance layer that makes that structure useful inside a brokerage, so bringing the two to market together was the logical next step."

The announcement reflects a broader shift in how Benzinga licenses its data. Over the past year the company has expanded its API infrastructure for large language model and retrieval-augmented generation workloads, and established licensing frameworks specifically for AI use cases rather than treating them as exceptions to legacy redistribution terms. Benzinga now licenses content and data to more than 400 clients across 30 countries, a growing share of which are building AI-native products.

"Brokers choose WNSTN because we turn complex market data into something personally relevant, understandable, and actionable for their clients," said Jamie Rakover, Co-Founder and CRO of WNSTN. "WNSTN doesn't just summarize information, it digests it, puts it in context, and tailors how it's delivered to each user. It's about giving people the right information, at the right time, in the way they can understand it best. That's how we turn data into action within the broker's platform, with compliance built into the experience. Benzinga's real-time and historical coverage strengthens that capability, while its use of WNSTN in Benzinga Pro demonstrates our technology in production with a demanding audience of active traders."

The impact is measurable. WNSTN's analysis of one year of data with a U.S. broker-dealer client found that investors who engaged with its AI executed 2.3 times more trades than those who did not, with roughly half of users who interacted with WNSTN chat placing a trade within 24 hours of interacting with the platform.

The combined offering is available to brokerages and financial platforms today, with white-label deployment and API integration options.

About Benzinga

Benzinga is a leading financial media and data technology company that empowers investors with high-quality, real-time market intelligence. Through its news platform, APIs, and data products, Benzinga provides traders, financial institutions, and fintech platforms with the insights they need to make smarter investment decisions. From breaking news and analyst ratings to corporate events and alternative datasets, Benzinga's tools help market participants stay ahead of the information that drives price movement.

To learn more, visit www.benzinga.com/apis/.

About WNSTN

WNSTN.ai is a compliance-first AI layer for brokerages and financial institutions, enabling real-time personalization, next-best actions, and explainable insights across digital platforms. Built specifically for regulated financial environments, WNSTN combines multi-agent financial intelligence, regulatory controls, layered compliance oversight, and enterprise-grade security to deliver AI experiences that are transparent, audit-ready, and production-safe.

To learn more, visit https://wnstn.ai/.

SOURCE Benzinga