Finster AI wants to make sure its users never miss a headline that matters. Today, the AI-native research platform announced a data partnership with MT Newswires, giving investment banks, research desks, and asset managers direct access to MTN’s global, multi-asset news feed inside Finster’s agentic workflows.

It’s a classic “better together” play: Finster’s AI-driven research environment meets one of the largest independent real-time newsrooms in finance. The result is a faster, more context-rich research stack—one aimed squarely at teams under pressure to produce more insight with fewer hours and higher compliance demands.

Why It Matters

Financial research workflows have long been a graveyard of browser tabs, scattershot data feeds, and late-breaking updates that arrive minutes too late. As AI research agents become table stakes across banking and buy-side operations, the quality and timeliness of the data they ingest is emerging as the next competitive front.

With this move, Finster is making a bid to become a central operating system for regulated financial research—not another AI chat layer bolted onto generic datasets.

What’s New

Finster users now gain:

• Instant surfacing of high-impact news directly within AI agents, research tasks, and deep-search queries.
• Auditable insight generation, cross-referencing news with filings, transcripts, internal notes, and third-party datasets.
• Real-time, highly targeted updates on companies, sectors, and themes users actively cover.
• Automated research pipelines that pull MT Newswires headlines into client prep, diligence, and investment workflows.

MT Newswires’ newsroom—covering equities, FX, commodities, credit, macro, and sector shifts—produces original, market-moving content in real time. That feed is now a native “signal” inside Finster’s platform.

Exec View: Speed + Context = Advantage

Finster CEO Sid Jayakumar describes the integration as fuel for high-stakes decision-making:

“Our clients can’t afford to miss critical information relevant to their coverage. MT Newswires delivers the global depth and speed they need, and together with Finster’s agentic AI, becomes a force multiplier.”

MT Newswires CEO Brooks McFeely echoed the theme, noting that AI has raised the bar on information quality:

“Our partnership with Finster brings MT Newswires’ real-time, multi-asset class coverage into a next-generation research environment, giving users a decisive informational edge.”

Industry Context

The arms race among “AI-first” research platforms is heating up. Bloomberg continues to expand its machine learning toolkit, S&P Global is pushing deeper into generative AI workflows, and upstarts like AlphaSense and Tegus are layering in proprietary data feeds to differentiate.

Finster’s strategy—pair best-in-class external data with a purpose-built agentic research environment—positions it closer to being a regulated, enterprise-ready alternative to general-purpose AI tools. Each new dataset makes Finster harder to replace and more embedded in daily banking and investment processes.

The Bigger Play

This partnership follows Finster’s recent expansions into fundamentals, private markets, expert networks, and research datasets. The company is building toward a research ecosystem where:

• AI agents triage what matters
• Data is native and interconnected
• Insights are verifiable, transparent, and compliant
• Teams move from reactive to proactive coverage

If AI is becoming the default research assistant, Finster wants to be the assistant’s command center.