Interesting look under the hood of @AlphaSenseInc's SuperAnalyst. Lots of thoughtful engineering in how they give agents the tools to do useful research while keeping access tightly controlled. And when speed matters, they route requests to open-weight models on Cerebras. Worth a read if you’re building agents:

When an AI agent escapes the sandbox, the first question should be: who left the door open? For firms in regulated industries, giving agents broad access to data and tools has meant weighing what they can do against what they might reach. SuperAnalyst runs every session in its own isolated MicroVM, with scoped credentials, a sealed network, and identity checks at each step, so one failed control never becomes a breach. Lawrence Sica, VP of Product Security, and @chaschwartzz, Staff Software Engineer, walk through each layer of SuperAnalyst’s sandboxing architecture and how they work together to keep agent workloads contained. Read the full article:

Trust in enterprise-grade AI rose from 72% to 78% this year. Yet 62% of AI decision-makers say they’ve been burned by inaccurate AI output. For insurance professionals, an inaccurate answer can carry significant consequences. On Thursday, Nov 5, I’m joining Sina Falaki for a Society of Insurance Research webinar on moving from AI adoption to accountability, including a practical framework for building research workflows you can stand behind. Register: @AlphaSenseInc

“My team actually came to me begging for AlphaSense.” Hear Tricia Tolivar, CFO at CAVA, and Katie Fogertey, CMO at Gluck & Co. LLP, sharing how AlphaSense is not just for financial services: law firms and fast-casual restaurants alike are migrating to decision-grade AI. #AlphaSummit#

📈 Your AI spend keeps climbing, but is your AI earning it's keep? You’re not alone in wondering. At #AlphaSummit# 2026, leaders from Lanai, D. E. Shaw Ventures, and Talos Asset Management mapped what comes next: AI managed like a workforce, expertise connected across teams, and an agent for every name in coverage. Get all 5️⃣ predictions for what’s next for AI, straight from the stage as authored by our own Sarah Hoffman:

Same prompt. Two tools. One clear winner. Hear Ian Lieberman of Talos Asset Management discuss running SuperAnalyst side-by-side with a different AI tool, and why he advises analysts to “use your imagination”. #AlphaSummit#

$ANT has a few key debates going into its IPO: whether Claude can keep its price premium, whether margins hold up against the compute commitments, and whether the Q3 slowdown was a blip. @AlphaSenseInc Expert Insights and Channel Checks address questions around pricing and how deeply Claude is getting into enterprise customers. Check out our primer, built by SuperAnalyst: And the Channel Check Breakdown Here: solana:56DeqXiADWY2Y3iD8pdbpTi9jhXXneofTY5dp4Xjpump $GOOG $META

AI makes market research 10x faster. But speed only matters if you ask the right question. Research that once took hours can now happen in minutes, but faster answers are only useful if teams know which signals matter, how to frame the right strategic question, and where human judgment still needs to lead. Join @ServiceNow's Leon Markham and our own Sina Falaki to learn how strategy teams turn signals into executive-ready points of view.

Earnings season means reading every call, and no analyst has the hours for it. SuperAnalyst monitors all of the data flowing through AlphaSense and automates the work, reading each call and executing the specific process you want it to run. @cackerso sits down with @DWeisburd discuss how AI is changing the analyst role, why vertical AI can outperform general-purpose models in financial research and why proprietary data may become one of the most important competitive advantages in AI. Watch now ⤵️

The $ANT S-1 is public. SuperAnalyst built the primer, and it's now live on our site. This primer not only draws on the S-1, but our Tegus expert interviews, news coverage, and our proprietary Canalyst model for #Anthropic#. Inside, you will find the full company snapshot, compute commitments, the competitive benchmark from enterprise buyers, registered risks and the bull and bear cases side-by-side. Explore the dashboard:

1 million+ slides created. 30% of research work now runs on autopilot. Chris Ackerson shares how work products and scheduled workflow agents turn research into the deck, the model and the repeatable workflow at #AlphaSummit#.

Welcome AlphaSense (@AlphaSenseInc) to TomorrowX Summit. AlphaSense is the AI platform redefining market intelligence, combining domain-specific AI with more than 500 million premium business documents, from Tegus expert interviews and equity research to filings, earnings calls and internal content. Registration link in replies.

Today brings #AlphaSummit# to a close: Day 3 opened with a fireside chat between George Lee and CNBC's Hugh Son on AI, geopolitics and global markets. We also heard AlphaSense CEO and Founder Jack Kokko and Accenture’s Manish Sharma discuss scaling AI across the enterprise, moderated by AlphaSense Board Member Richard Leggett. The last keynote closed with Jack sitting down with Doug Petno of JPMorganChase talking through banking, capital markets and AI. We also handed out customer awards to Accenture, CPP Investments, AMD and Element Capital Management, plus shared product sneak peeks from Chris Ackerson. Breakout sessions throughout the day covered everything from IR to life sciences R&D and agentic AI. Huge thanks to everyone who joined us at The Glasshouse these past three days. We hope to see you October 19-21 at the Javits Center!

Haiku 5.5 is out, and if you know me, 4.5 was one of my best friends. At @AlphaSenseInc we have been testing it for the last few weeks and are happy to report it's a great model and a no-brainer replacement for all your scale- and cost-constrained use cases!

AlphaSummit!!! The most amazing couple of days - bringing together 1000+ of @AlphaSenseInc’s top customers and partners in NYC - market makers, industry titans, thought leaders and more. So invigorated by the conversations!

AlphaSense is expanding its enterprise AI security and governance program to meet the next phase of agentic AI adoption. "As a native AI platform founded over a decade ago, AlphaSense has always prioritized security and governance in its foundation" - Pieter VanIperen, CISO, AlphaSense. Raw model capability is becoming table stakes. We believe what actually differentiates enterprise AI going forward is trustworthiness and data quality, not the model underneath it. See how AlphaSense is hardening infrastructure, embedding AI-driven guardrails, and eliminating data retention risk across SuperAnalyst. ⬇️

“We had an analyst a couple of about two months ago that was able to launch on 26 companies, three sector primers in a matter of really four to six weeks. And he was able to do that because he was able to leverage tools like AlphaSense…” #AlphaSummit#

Here rn and Petno was asked about what’s going to be the biggest market force a few years from now (other than AI) and he had a really thoughtful breakdown on how deficit spending is nearing a breaking point. “The chicken is coming home to roost.” he said. Definitely agree there - we cannot spend like drunken sailors forever and expect the bond market to comply