CompaniesInvestorsPeople
Home
Loading

aVenture is in Beta: research coverage is expanding as we build, so please independently verify key details before making investment decisions.

aVenture is in Beta: research coverage is expanding as we build, so please independently verify key details before making investment decisions.

Get in Touch

  • Contact

  • Request a Demo

  • Request Data Updates

  • Add a Company

Research

  • Companies

  • Investors

  • People

aVenture

  • Download App

  • Pricing

Download the aVenture Research beta for iOS and iPadOSDownload aVenture Research on the Mac App Store

Resources

  • Documentation

  • Use Cases

  • CLI

  • MCP

  • Feature Requests

  • Sitemap

Member

Backed by

Ask AI about aVenture

© aVenture Investment Company, 2026. All rights reserved.

San Francisco, CA, USA

Privacy · Terms of Service

aVenture Investment Company ("aVenture") is an independent research platform providing detailed analysis and data on startups, venture capital investments, and key industry individuals. It is not a registered investment adviser, broker-dealer, or investment advisor and does not provide investment advice or recommendations. The data provided by aVenture does not constitute recommendations or advice, whether by methodology, analysis, AI-generated content, or a statement written by a staff member of aVenture.

aVenture is not affiliated with any of the people, companies, organizations, government agencies, regulatory bodies, or investment funds we provide coverage for on this site unless explicitly stated otherwise. Users assume full responsibility for decisions made based on information obtained from this platform. Links to external websites do not imply endorsement or affiliation with aVenture. Any links that provide the ability to invest in a primary or secondary transaction in a company are for convenience only and do not constitute solicitations or offers to buy or sell an investment. Investors should exercise heightened precaution and due diligence when investing in private companies, especially those not independently audited.

While we strive to provide valuable insights with objectivity and professional diligence, we cannot guarantee the accuracy of the information provided on our platform. Before making any investment decisions, you should verify the accuracy of all pertinent details for your decision. To the fullest extent permitted by law, aVenture shall not be liable for any direct, indirect, incidental, consequential, or financial damages arising from use of this site, whether by consumers of its contents directly or by persons or organizations covered by our research, even if we are advised of the possibility. Our best-efforts processes and correction request forms do not create a warranty or duty of care.

Profiles on this platform may include content generated in part by large language models (LLMs, artificial intelligence) that aggregate publicly available sources (e.g., SEC EDGAR, public filings, press releases). Source attribution is provided where known; always verify statements and claims here against original sources before relying on any data. Content on our site may contain inaccuracies, omissions, or what are commonly called 'hallucinations' if generated in part or in full by AI / LLMs. The risk can also exist even when content is written by a human, as internal and third-party sources may also have inaccuracies for the same or different reasons. While we randomly audit a proportion of content, this is not exhaustive.

We recommend that an independent auditor be hired to verify the accuracy of the information before relying on it for any sensitive decisions. By accessing this platform, you agree not to rely solely on any information generated by AI, aggregated, or sourced or written otherwise on this site, for investment, financial, or other decisions. aVenture assumes no responsibility for inaccuracies, omissions, or hallucinations. You must independently verify all data from primary sources. Use of this platform constitutes your waiver of claims for reliance-based damages, including negligent misrepresentation. To report an error, request a correction, or dispute information about a company or individual, contact us via our request data updates form.

Loading
Loading
Home
News
OpenAI revenue falls short, models play hopscotch and Trump cracks down on tech green cards

From SiliconANGLE

By Robert Hof

October 9, 2026

OpenAI revenue falls short, models play hopscotch and Trump cracks down on tech green cards

OpenAI revenue falls short, models play hopscotch and Trump cracks down on tech green cards

I’m not going to call the bursting of artificial intelligence bubble yet, not with all that money still pouring into every hardware and software company with AI in their pitch decks. But we got a little taste this week.

OpenAI told investors this week that it actually had $18 billion less revenue than the $68 billion it said last month. That knocked down the stocks of Nvidia, CoreWeave, Oracle and Nebius, among others, on Thursday.

Fifty billion dollars in revenue is nothing to scoff at, of course, but the market is all about expectations, and investors are growing increasingly wary — not least because some of the frontier AI model companies such as Anthropic may be getting a little pushback from their biggest customers. And by the way — will this finally put ARR to bed? Or maybe IPOs to come, with disclosures of real numbers, will make it all moot.

Still, nobody’s slowing down much despite persistent worries about AI’s downsides. Google this week debuted its one-stop Gemini assistant that can act autonomously, generate code and complete work across any device, including web, mobile and desktop. And a bunch of other new models came out from OpenAI, Anthropic and others.

Mathematicians want OpenAI out of math research, but the argument they offered this week sounds weak. As a writer and editor under the unrelenting threat of AI, I understand the concern, and sympathize. But as Pradeep Viswanathan of Neowin asks: “Why would anyone need permission from professional mathematicians to work on open mathematical problems?” To think that chatbots only a couple years ago had trouble with multiplication…. That said, they aren’t always doing a good job on the papers.

One of the biggest promises AI backers make for the technology is much more rapid drug development. I’m not sure we’ve seen that much yet, but Alphabet spinoff Isomorphic Labs just got another presumably huge slug of money at a reported valuation of up to $50 billion to prove it.

Quantum computing continues to get more attention and, increasingly, investment money. This week two more companies with different approaches raised significant funding — Oratomic $475 million and Universal Quantum more than $100 million.

What did Microsoft do to piss off Trump? It and other companies are now barred from further participation in a federal program that enables U.S. companies to apply for green cards for employees There’s reason to think many companies abuse the H-1B system, but whatever they’re doing, they’ve done for decades. 🤷‍♂️

Here’s all of this week’s enterprise and emerging tech news and analysis from SiliconANGLE and beyond:

Analysis, opinion and food for thought

Sam Altman says people need to accept ‘some bad things’ are going to happen if they want AI Which bad things? Kinda matters.

Fired OpenAI researchers ask company to preserve visibility into AI reasoning (per the Wall Street Journal)

SiliconANGLE will continue to use the term “artificial intelligence” to describe artificial intelligence, and is very happy to be the enemy of this Super Idiot (SI).

AI and data: Model hopscotch

Policy

Trump launches Super Intelligence Force with Jay Clayton as AI czar

Meta teams up with Bret Taylor’s Sierra Technologies on new standards for AI agent commerce

Utah gives startup Nolla Health permission to start issuing AI automated prescriptions for acne treatments

New models and services

Google Cloud introduces Gemini agent to change enterprise work

OpenAI publishes 722 AI-generated math discoveries in major scientific milestone

With GPT-6, ChatGPT’s responses are much more visually appealing and interactive

Anthropic releases Claude Haiku 5.5 small model and halves Sonnet 5.5 cache read prices

Mistral launches open-source Mistral Large 4, details AI roadmap

Google expands EmbeddingGemma beyond text to images, audio and video

Google debuts SynthID Detector tool for flagging AI-generated content, but it’s far from perfect

Reflection AI debuts open-source Beam model with 501B parameters

Dell’s AI Data Platform gets a knowledge graph for agents and faster Nvidia processing

SAP expands Joule into an agentic work layer as Autonomous Enterprise goes live

Kore.ai launches Autoloop to keep tuning enterprise AI agents after they go live

Microsoft slashes internal Claude spending by a third (per The Information)

Exclusive: Gamma revamps presentation platform to make output look more human

Atlassian lays groundwork for humans and AI agents to work side by side

Anaconda expands beyond Python with agent swarms and AI security testing

Antseed launches a decentralized marketplace for AI inference that dramatically lowers developers’ costs

Precisely launches unified AI data platform and AI Studio library of agents and apps

Equs launches a personal AI platform with private storage to give users greater control over data

Cohere unveils North 2 AI agent platform with rebuilt orchestration and token spending caps

Exclusive: Iterate.ai’s Lifeboat runs up to six times more AI agent sessions per GPU

Money matters

AI stocks crumble on report that OpenAI’s annualized revenue is much lower than believed

US venture deal value reaches record $515.8B as exits fail to keep pace

Alphabet spinoff Isomorphic Labs reportedly raising funding at up to $50B valuation

SAP to acquire TechWolf, giving enterprises evidence-based view of work in the age of AI

Automation Anywhere acquires Boost.ai to expand customer-facing voice AI

AI agent developer Manus raises $500M+ at reported $4B valuation

Signed-data pioneer SignSplit launches with $400M to help everyone get paid for their AI contributions

Vinci reels in $250M for its engineering simulation platform

Nvidia, Samsung back $90M round for AI agent startup Nous Research

Mecka, the “data engine for physical AI,” raises $60M Series B led by Sequoia Capital

Gallatin AI raises $50M in funding for its military logistics platform

Healthleap raises $38M for its AI that flags hospital patients who may need a closer look (per TechCrunch)

AI agent hardware startup Ghost, led by its 19-year-old-founder, raises $11M

Around the enterprise: Google goes nuclear

Money matters

Schneider Electric to buy engineering software giant PTC for $23.7B

Google goes nuclear to power its AI data centers, committing to buy 890 megawatts of energy from Constellation

Atomic Machines raises $250M to launch Matter Compiler, an AI-native manufacturing system that builds micro-machines from code

Harness acquires Augment Code to bridge software engineering from idea to deployment

Multiply Labs raises $75M to optimize pharmaceutical manufacturing with robots

Stuut cashes in on agentic order-to-cash automation with $52.5M in funding

Turba Labs raised nearly $52M in combined seed and Series A round, aiming to double world’s available compute with data center digital twins.

Namespace raises $42M to build out developer-focused compute cloud

Clockwork.io bags $31M in funding to keep AI inference and training workloads running like … clockwork

Samsung forecasts world record-breaking $80B profit

New products and services

Arista takes Ethernet into the rack, and the network becomes the backplane

Cisco broadens agentic features in Webex collaboration platform

And coverage of the keynote from Zeus Kerravala: At WebexOne, Cisco’s Jeetu Patel argues the agent era will be won on context, cost and control

Docusign adds a desktop PDF editor to its Intelligent Agreement Management platform

LeapXpert brings governed WhatsApp client messaging into Cisco’s Webex

Promevo launches Insights to track Gemini Enterprise adoption and AI agents

OneSpan Sign takes aim at the slow work around bank agreements

Caloroga Media launches Linnet, an AI-assisted podcast studio that runs in the browser

Policy

White House bars Microsoft from sponsoring green card applications as JD Vance accuses it of fraud

Cyber beat: Identity as the agentic control plane

New services

In the agentic era, standing privilege must go: Key thoughts from the SailPoint Navigate keynote

Anthropic folds Project Glasswing into an expanded three-tier Cyber Verification Program

Anthropic launches critical infrastructure program and free OSS Scanner for open source

Elastic’s AlertZero puts AI agents to work on security alert overload

Tanium expands Security Operations with Atlas-powered detection, response and hunting

Darwinium launches two intent intelligence capabilities to catch fraud by AI agents

Hack The Box’s AI Range Enterprise Edition tests whether AI agents can do their jobs

LawVu launches Lens to provide legal teams visibility into contract law

Money matters

Hadrian raises $40M for AI agents that find the weaknesses attackers can exploit

Rein Security raises $25M to rein in insecure AI agents

Attack & response

IBM and Red Hat patch 400-plus unknown Java flaws, open Clearinghouse for fix requests

Elsewhere in tech: Quantum rising

Oratomic raises $475M for neutral-atom quantum computing, Universal Quantum nets $100M+

US government, tech giants and Biohub commit $1.8B to AI biology initiative

Robotics startup RobCo valued at $1B+ in $40M funding round

Comings and goings

Robotics firm Boston Dynamics named 12-year Amazon veteran Rohit Prasad CEO. Most recently he was SVP and head scientist for Alexa and artificial general intelligence.

Pinterest appointed a new chief financial officer: James Dibbo, former CFO of Amazon‘s global entertainment, advertising and corporate development.

Margaret Hamilton, computing pioneer who led software development for the Apollo program, died Sept. 30 at age 90.

What’s next

Events

Oct. 12-15: Workday Rising, Las Vegas

Oct. 13-15: Semicon West, San Francisco

Oct. 13-15: TechCrunch Disrupt, San Francisco

Oct. 14-16: MWC Las Vegas

Oct. 15: Vercel Ship, San Francisco

Earnings

Wednesday, Oct. 14: ASML

Thursday, Oct. 15: TSMC

View original article on siliconangle.com

Most Recent

Microsoft 2.5: GitHub COO Kyle Daigle on stitching the developer universe together

GeekWire is profiling over the next few weeks some of the people and teams that are shaping the evolution of Microsoft in what we’re calling its “Microsoft 2.5” era. A delicate dance: In August 2025, Microsoft moved to integrate GitHub into the mothership, under its CoreAI division, after having all

Oct 9, 2026

18 insights from SailPoint’s Navigate event: Enterprises race to bring identity security for AI agents up to machine speed

Identity security for AI agents is a board priority, and enterprises at Navigate 2026 are moving to just-in-time access and named human owners.

Oct 9, 2026

CoreWeave targets AI inference bottlenecks with full-stack optimization

AI inference is the bottleneck in reinforcement learning, and CoreWeave Inc. is adding managed services and Forge to speed it up for developers.

Oct 8, 2026

Gallatin AI raises $50M in funding for its military logistics platform

Gallatin AI Inc., a developer of military logistics software, today announced that it has raised $50 million in funding. The Series A round included contributions from 8VC, Silent Ventures and several others. It follows a $15 million seed raise in 2024. El Segundo, California-based Gallatin has buil

Oct 8, 2026

Similar Posts

It’s Nvidia’s world. We just live in it

The artificial intelligence juggernaut kept cruising along this week thanks to big earnings results from Nvidia — and even Salesforce, the supposed epicenter of the SaaSpocalypse. Nvidia not only beat all expectations for revenue, CEO Jensen Huang (pictured) indicated it’s going to be capacity-const

Aug 28, 2026

Arcee AI trained four models for $20 million. Now, it's worth $1 billion.

Arcee AI isn’t chasing OpenAI, it’s chasing China.

Sep 16, 2026

VCs say AI companies need proprietary data to stand out from the pack

AI companies across the globe raised more than $100 billion in venture capital dollars in 2024, according to Crunchbase data, an increase of more than 80% compared to 2023. It encompasses nearly a third of the total VC dollars invested in 2024. That’s a lot of money funneling into a lot of AI companies. The AI industry has swelled so much in the last two years that it has become filled with overlapping companies, startups still using AI just in marketing, but not in practice, and legit diamond-

Jan 10, 2025

Databricks wanted to raise $1B, investors wanted $15B. It settled on $5B at a $190B valuation.

AI is expensive, Ali Ghodsi tells TechCrunch. With so many investors wanting into his latest round, he said yes to more than planned.

Aug 13, 2026