AlphaSense retweeted
With the help of @AlphaSenseInc's SuperAnalyst we curated recent expert call content on AI infrastructure.
See our SuperAnalyst dashboard ⬇️
alpha-sense.com/data-center-…
The common thread is that hyperscalers still borrow cheaply and are shifting more of their builds into JVs and leases, while lenders are pulling back from neoclouds.
$NVDA $CRWV $META
AlphaSense retweeted
Today @AlphaSenseInc, we're launching the SuperAnalyst MCP, putting SuperAnalyst to work wherever your agents run. Rather than one more data pipe for your agents to brute force there way across, SuperAnalyst MCP allows them to delegate research to the world's best research system - thousands of sources, market-leading search, purpose built AI - so your agent spends its tokens on the problem you actually want solved.
We measure dramatically higher quality at 3x lower cost with ever claim cited to its source down to the sentence.
SuperAnalyst has become the platform for technology teams to automate complex investment research and build institutional grade market intelligence applications. Highly encourage folks to check it out: alpha-sense.com/resources/pr…
AlphaSense retweeted
Spotted in @AlphaSenseInc's agent stack: Temporal coordinating the lifecycle of secure MicroVMs 👀
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: alpha-sense.com/resources/te…
AlphaSense retweeted
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: alpha-sense.com/resources/te…
AlphaSense retweeted
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: sirnet.org/Shared_Content/Ev…
@AlphaSenseInc
AlphaSense retweeted
$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: alpha-sense.com/anthropic_da…
And the Channel Check Breakdown Here: research.alpha-sense.com/com…
solana:56DeqXiADWY2Y3iD8pdbpTi9jhXXneofTY5dp4Xjpump $GOOG $META
AlphaSense retweeted
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.
AlphaSense retweeted
$AMD channel checks, Q3 2026: demand is strong
Digging into @AlphaSenseInc channel checks on $AMD, drawing on roughly two dozen expert calls with distributors, server OEMs, integrators, and AI cloud providers. The signal is another beat for AMD, but the story is demand-positive and supply-constrained, not pricing-led. Key debates around component availability and the Helios ramp remain top of mind going into the quarter.
Full Breakdown ⬇️
research.alpha-sense.com/com…
$NVDA $MU
AlphaSense retweeted
My Investment Memo builder in SuperAnalyst is now 🔥 – beats out what I was doing as a HF analyst. I’m looking for people that want to collaborate to draw smaller and smaller circles.
It uses a Canalyst model on my behalf. It reasons to assumptions (depending on type of company, builds out TAM and penetration, models cyclicality, etc), researches what experts are saying about key debates, builds to a valuation framework taking into account Comps / multiple history, etc. Full companion model / backup in excel.
Roll this forward a bit and it’s obvious HFs will be built trading on the back of something like this (much higher volume of getting to decisions faster, neutrally). I’d especially love to collaborate with some of you building AI HFs.
DM if interested – must have AlphaSense account (the skill calls our tools)
AlphaSense retweeted
As we scale always-on agents at @AlphaSenseInc SuperAnalyst, a natural question arises: what model do users choose for their interaction and orchestration? Most users trust the platform default (~70%), with the remaining mostly split across Opus 5.5 and Astra.
AlphaSense retweeted
Joining the @TomorrowXSummit lineup: Jack Kokko, Chief Executive Officer and Founder of AlphaSense (@AlphaSenseInc).
November 17-18 at the Moody Center in Austin. Hosted with @GavinSBaker and @atreidesmgmt, @antoniogracias and Valor Equity Partners, @rbiscardi and @iconnections_io.
Registration link below.
AlphaSense retweeted
$IBM reports Oct 21. Can AI demand offset legacy software weakness?
@AlphaSenseInc 3Q26 Channel Check shows IBM-related business growing 5.6% y/y among 11 experts. Pricing pressure limits conversion.
Full Breakdown Below ⬇️
research.alpha-sense.com/com…
AlphaSense retweeted
We’ve officially launched Channel Check Intelligence
The best new source of Idea Gen
AlphaSense began structured channel checks a bit over a year ago, already scaled to 3k per month (compliance reviewed, no embargo). Already much more than anyone could read but high signal if you can make sense of it.
Channel Check Intelligence makes sense of it —> what sectors, companies are inflecting, pricing / invy better or worse etc. Not only the numbers, but the why.
CCI is another form of pre-compute where we use continually use LLMs to structure the data once, for everyone. Soon, when you build your Earnings Previews with SuperAnalyst, the system will know to bring in CCI - and even use as an input to the assumptions in your model - without needing to rebuild the analysis from scratch (accuracy, time, tokens)
We are investing aggressively in scaling and development -- it's going to get pretty crazy in a year.
AlphaSense retweeted
Replying to @AlphaSenseInc
@AlphaSenseInc channel checks on $NOW show a healthy demand backdrop: renewals are strong, expansion is robust, and AI driving pipeline. But experts see a push on pricing and packaging (new Foundation, Advanced, and Prime tiers, plus consumption models) just as budget scrutiny and data readiness are in focus.
Full Breakdown ⬇️
research.alpha-sense.com/com…
$MSFT $TEAM $CRM
AlphaSense retweeted
Interesting datapoint on agent v human usage:
AlphaSense says agents now perform 99% of research activity on its platform: ~2B agent actions vs ~20M human ones annualized.
19% of the total actions are scheduled agents
AlphaSense retweeted
Chat, join me for a (free) livestream! I'll be spilling alpha on how top 1% AI native investors operate:
Registration link: alpha-sense.com/resources/we…
I'll be joined by Sarah Hoffman from the AlphaSense team, sharing real data and anecdotes.
What we get into:
→ What top AI adopters are doing differently
→ Where AI breaks in investment workflows
→ How adoption differs by seniority, region, and industry
→ Adding accountability without slowing everything down
Thursday, October 15th.
Register here: alpha-sense.com/resources/we…
AlphaSense retweeted
Replying to @AlphaSenseInc
@AlphaSenseInc channel checks gathered expert perspectives on $RDDT Q3 performance, and the narrative is clear: Reddit is moving out of the experimental bucket and into more durable media strategies. Better AI discoverability and stronger ad performance tools. Growth in spend and engagement remains robust, but Reddit is still a secondary platform next to the scale and conversion efficiency of $META and $GOOGL.
Full Breakdown ⬇️
research.alpha-sense.com/com…
$PINS $SNAP
AlphaSense retweeted
$SKHY is riding an AI-driven memory supercycle, how long is that cycle?
@AlphaSenseInc channel checks show demand for high-end memory far outstripping supply, fueled by hyperscaler capex, sovereign data center builds, and next-gen AI accelerators like $NVDA’s Blackwell and Vera Rubin. SK Hynix holds a technology lead in HBM3E and HBM4, but the debate into earnings is its defensibility as Samsung and Micron tighten the race, while Chinese competitors gain ground in commoditized segments.
$NVDA $MU
Full breakdown ⬇️
research.alpha-sense.com/kno…
AlphaSense retweeted
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!



























