Wing Venture Capital

Google is reportedly in advanced talks to acquire Wiz for $23B, which would be Google’s biggest acquisition ever. Founded only 52 months ago in March 2020 by the former team behind Adallom (acquired by Microsoft for $310M), Wiz has emerged as the newest cloud security platform — a rare breed as a platform versus a point solution. So why is Google interested? Read more on Chris Z.'s Substack, Data Gravity: https://lnkd.in/eUWvARs7

"Why Google Wants to Acquire Wiz" 🔗 Link to the article: https://lnkd.in/gfhbW7TU 🔗 Google is reportedly in advanced talks to acquire Wiz for a staggering $23B, which would be its largest acquisition yet. Why? 🔐 Cloud + Security: Google is playing catch up with Microsoft in security, where Microsoft is larger than the next 5 cybersecurity vendors combined. 💼 Customer Base: Wiz brings over 40% of F100 and deep enterprise expertise from Microsoft. 💰 Financial Strength: With ~$500M million in ARR, Wiz is on a rapid growth trajectory, aiming for $1 billion in sales by 2025. Read the full piece to learn more about the specifics of the deal from both perspectives:

We recently supported an electric vehicle manufacturer working with tens of thousands of invoices, automate their accounts payable process using Gradient Agent Foundry. Powered by Hummingbird, Gradient’s domain-specific LLM for manufacturing, we developed an AI-powered solution that simplifies data extraction, invoice matching, and overall enhances the payment management process. Discover how we were able to: 🔗 https://lnkd.in/ga_XwRw5 📉 Decrease Overall Workload by ~80% 📉 Decrease Error Rate by 65% 🚀 Increase Processing Times by 70% 💰 Cost Savings of Roughly 60% Discover the fastest way to automate your manual processes with AI and check out what others are doing in manufacturing and supply chain with Gradient: https://lnkd.in/gHeYNCms #Gradient #GradientAI #AIAutomation #LLM #GradientAgentFoundry #EnterpriseAutomation #Manufacturing #SupplyChain

⭐ Cohesity Gaia is a FINALIST for CRN's 2024 Tech Innovators Award: #ArtificialIntelligence! ⭐ 👀 Stay tuned to see if we win! https://lnkd.in/dAYqRFsM #AI

Wondering where the human fits in the AI content loop? We break it down for you here: 1️⃣ Strategy: Human insight is key. We do NOT recommend you outsource your thinking. 2️⃣ Initial Creation: AI takes over on the first draft, cutting 80% of the time of the content creation process 3️⃣ Editing & Polish: Humans ensure quality (usually 30 mins/1000 words is what's needed to keep content high quality) 4️⃣ Distribution: This is a human part -- Remember, AI can't publish itself 😉 By letting AI handle the time-consuming initial draft, we save 5-6 hours per post without sacrificing quality. This approach leads to same-day turnarounds on long-form posts 🤯 (For example, our Head of Content Strategy recorded this video at breakfast and will have a Blog post, LinkedIn post, and YouTube description ready by lunch). Curious? Reach out and join us for what we believe is the future forward for B2B content marketing! #ContentMarketing #AI #Efficiency #CopyAI #HumanInTheLoop #MarketingStrategy

In case you missed it, last month we announced our investment in Inventive, a trailblazing platform that seamlessly integrates AI into SaaS products. Inventive's experienced team, led by Erik Kuld, Kavita Shah and Clarence Tso, brings together deep expertise from Google, YouTube, Microsoft and Meta. Their first product, an Embedded AI Analyst, is already making waves by enabling organizations to deliver custom insights and analytics to customers in record time. We’re excited about the journey that lies ahead for Inventive! Learn more here: https://lnkd.in/en4hhgQy

Our team had a fantastic time at IMAGINE AI LIVE yesterday in NYC! Thank you to everyone who came out to Chris’s keynote and attended his workshop on Enteprise AI Automation. If you’re interested in seeing how Gradient can help automate your existing workflows, let’s grab some time and chat! https://lnkd.in/g5yymUFC #Gradient #GradientAI #EnterpiseAIAutomation #LLM #ImagineAILive

Introducing Future Proofed: The Exec Playbook for GTM AI (led by Kyle Coleman) Over the past few months, our team has had countless conversations with go-to-market leaders who are excited to implement meaningful AI solutions into their businesses. There's just one problem: they don't know where to start. But now, you have a concrete place to learn. This Substack is run by Kyle Coleman, our CMO and a GTM leader who needs no introduction. It's application-only and meant for VPs or C-suite roles who want to understand how AI extends beyond Co-Pilots and creates meaningful systems that *actually* show a positive ROI. This is exclusive content, meaning these newsletters will not be found in any other corner of the web until the release of an upcoming project in September 👀 So, if you are a go-to-market leader in a VP or C-suite role, and you want the first glimpse of how AI will be the future of GTM strategy, be sure to join (a link to the first newsletter is in the comments!). #gtm #gotomarket #gotomarketai #salesautomation #marketingautomation #ai #gtmai

Founders, investors, and startup enthusiasts— 📣 If you're not already following Zachary DeWitt's Substack, Notorious PLG + AI, you're missing out on a goldmine of insider knowledge and expert advice. As a partner at Wing and a former founder, Zach has a unique perspective on what it takes to build and scale a successful startup in the world of product-led growth and AI-powered applications. Each week on his Substack, he shares lessons, strategies and metrics from the most innovative founders and startups in the industry, including some companies he has worked with at Wing Venture Capital, like AirOps, Copy.ai, Deepgram, Hireguide, Slang.ai, Tango, and Tome. Learn from one of the best in the business. Subscribe to Notorious PLG + AI today: https://lnkd.in/euN6KQ8b

Predicting software delivery dates can be tough. Discover how we engineered a delivery predictability scoring model to tackle this common challenge. 📈 In our latest blog, we reveal: ➡️ Why predicting software delivery is tough and how it can lead to unhealthy cultures ➡️ How our new model rewards behaviors that improve delivery predictability ➡️ Key insights from analyzing over 25K deliverables and 3,600 teams ➡️ Practical strategies for improving your team's predictability Unlock the secrets to predictable software delivery with insights from Lena Chretien, PhD, Senior Data Scientist, and Jim Krygowski, Director of Software Engineering here at Jellyfish.