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Announcing AI Risk Management, a major milestone for DTEX and a new way to manage risk in the age of AI. 🤖 AI has crossed the trust boundary and is now embedded in how work gets done, often acting on its own across systems, data, and workflows. Most teams can see that activity. Few can tell if it actually creates risk. DTEX AI Risk Management (AIRM) closes that gap. Built on more than 20 years of behavioral intelligence and insider risk expertise, AIRM  helps organizations understand risk across people, AI agents, and the workflows that connect them by analyzing behavior and intent over time, not just isolated events. At the center of this are DTEX Agentic Defenders, a new class of AI-native agents that continuously hunts, investigates, and triages risk across human and AI-driven activity. As AI operates with greater speed and autonomy, security teams need defenses capable of keeping pace. AI Risk Management helps teams:  • Identify unknown AI tools and agents  • Understand intent, not just activity  • Prioritize real risk using proven behavioral models This is what makes DTEX different. AI risk is not just a visibility problem. Its about understand behavior and intent.   That's exactly how we help organizations manage AI risk and embrace the next era of AI with confidence. Read the blog to learn more: https://lnkd.in/ehGGXVXA

What we've been hearing from customers for years: The AI prototype works, the team is excited — and then it sits in a backlog for six months. Nobody can explain how it works. Risk won’t sign off. IT has no idea how to run it. We built Dataiku Cobuild for exactly that moment. Describe what you're trying to accomplish in plain language, and Cobuild builds out a complete AI project your whole team can see, understand, and approve before anything goes live: → Governed from day one: Inspectable AI projects, not prototypes. → Speed and control: Conversational building inside an enterprise-governed environment. → Closes the execution gap: From business intent to AI your teams can inspect, approve, and scale. The build-govern gap is real, and this is how you close it. See what Dataiku Cobuild can do: https://lnkd.in/eFZ7_7U6 #AISuccess #AIAgents

For most of software history, even if you understood a problem better than anyone, you still needed someone else to help you build the solution. That meant a lot of good ideas never became products. Today we’re sharing our first look at the global build economy: more than 50M projects built on Lovable and 720M monthly visits to Lovable-built projects. Ideas are becoming products, and products are turning into companies. The people building them are also different from what many would expect. They may not have a CS degree, venture capital, or a technical co-founder, but they have customer knowledge, industry context, and a clear sense of what needs to exist. It is still early, but the direction is clear: as this category matures, the impact will be greater than just more software. There will be more solutions, more companies, and more economic activity. Read the report: https://lnkd.in/dpydMSpQ

10+ years in. $12.3B valuation. Just getting started. AI is reshaping every part of IT, and organizations are demanding a unified, secure way to automate operations with vendors they can trust. Today, I'm proud to share that NinjaOne has closed $400M in Series C extensions at a $12.3B valuation, led by an incredible group of investors: Wellington Management, Ontario Teachers' Pension Plan, BDT & MSD Partners, Sequoia Capital, ICONIQ, Hedosophia, New Enterprise Associates (NEA), Washington Harbour Partners LP, CapitalG, and Pinegrove Opportunity Partners. We wouldn’t be where we are today without every Ninja, customer, and partner who has believed in what we’re building. Thank you.  Here’s where we are today: Nearly 40,000 customers across 140+ countries. Leader in the Gartner Magic Quadrant for Endpoint Management Tools. FedRAMP Moderate and GovRAMP Authorized. Plus, rapidly approaching $1B ARR.  We've grown by staying close to our customers, investing heavily in R&D, and earning trust (never assuming it). Our approach to AI is reflected in this: We’ve prioritized safely embedding AI into the platform, combined with deep product consolidation. Keeping customer success and security in mind every step of the way.  We believe NinjaOne is uniquely positioned to become the control plane for modern IT in the AI era. Today's news is a powerful validator of that. None of this happens without our customers, partners, investors, and every Ninja who shows up every day. The mission hasn't changed: build products that simplify the IT stack — powerful, scalable, and secure. We're more focused than ever. And we couldn't be more excited for what's ahead. 🚀 https://lnkd.in/eaKHWg5g

15 years ago, Raj and I founded AlphaSense to solve a problem we experienced firsthand: critical business decisions were being made without the full picture. Research was slow, knowledge was fragmented, and even after hours of work, it was hard to know whether you had the information needed to make – and defend – a decision with confidence. Today, we're announcing three milestones that reflect how much that problem – and the market around it – has evolved. - A $350M funding round at a $7.5B valuation, nearly double our previous valuation - More than $600M ARR as of Q1 2026, up from $500M just six months ago - A strategic partnership with Accenture to bring AI-powered market intelligence and workflow automation to enterprises globally Many thanks to Ben Glickman at The Wall Street Journal for exclusively covering this important milestone. Read the story here: https://lnkd.in/eNMcsXDt We're also introducing SuperAnalyst, an always-on AI agent that completes multi-step research projects, monitors markets, and delivers decision-ready outputs grounded in premium, trusted content. Taken together, these announcements point to something bigger. Organizations don’t just need better answers. They want systems that continuously monitor, analyze, synthesize, and act on information as it changes. As AI accelerates product development, competition, and market change, decision-making itself becomes the bottleneck. That’s why we’re seeing unprecedented demand for trusted proprietary data, domain-specific AI, and workflows embedded directly into how enterprises operate. This new capital allows us to invest even more aggressively in our content flywheel, AI, workflow automation, and global expansion. Most importantly, it allows us to continue building toward a future where market intelligence isn’t something you search for – it works continuously on your behalf. Thank you to our investors, customers, and the entire AlphaSense team. We’re still early in this transformation, and I’ve never been more excited about what’s ahead. Vitruvian Partners, Accenture, J.P. Morgan Asset Management, The D. E. Shaw Group, Pinegrove Opportunity Partners, CapitalG, Goldman Sachs Asset Management, Viking Global Investors 

Today we're launching Gusto Cofounder — an AI teammate built natively into Gusto, so it already knows your business from day one. Most AI is a glorified search engine. You ask it questions, it gives you answers. That's not what we were promised. Here are the core concepts of Gusto Cofounder: Automations: Automations are the heart and soul of Gusto Cofounder, and you can customize them in natural language for your unique business needs. They’ll run on any schedule you want. Connectors: We recognize that small businesses are using multiple systems to run their business, not just Gusto. Automations connect to your systems outside of Gusto, such as Notion, Google Sheets, or Quickbooks. Channels: Communicate to Gusto Cofounder via SMS or Slack. Automations can give you updates or ask you questions over SMS, and you can reply back. If you've used OpenClaw, you know how magical that can be. …And of course, it comes out of the box with ideas on how to automate all the things that you already do on Gusto. You don’t have the “blank canvas” problem that many of the “Hi! How can I help you today?” AI tools have today. Here’s how it all comes together: - Tell it to pull sales data from your Google Spreadsheet, calculate bonus and commission amounts, and then run payroll on Gusto. And do it every two weeks so you never have to do it again. - Set your time-off rules once and it will handle every request just like you would. - Tell it to text you anytime a time-off request will leave a gap in your shift schedule.  - Tell it to look up the weather every day, and if it’s forecasted to be below 50, email your customers reminding them to dress warmly. - It proactively flags what's coming before you have to ask: compliance deadlines, payroll anomalies, scheduling conflicts - Text it or Slack it. Cofounder works from wherever you are. We built this in eleven weeks with a team of five. We had no roadmap, no docs, no Figmas, no JIRA tasks, no project managers, and no meetings. Just five builders, an always-on Zoom, and AI. Shoutout to the Gusties who made it happen: Katie Kovalcin, Matan Zruya, Jeff Carbonella, and Ngan Pham. We're opening early access to a small group of Gusto customers now. Head to the comments below if you want to get in.