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How many vendors does it take to run one AI agent in your company? In most enterprises we talk to, it's five on average. Sometimes seven 🤯 . One for every layer of the stack, each with its own console and its own rules. Most companies don't have a model problem. They have a stack problem. 1. Where people work: every team has its own app and its own console. 2. Where agents run: on someone's laptop, with a raw API key and no record of what happened. 3. Tools and workflows: one vendor for the gateway, another for orchestration, a third for control. 4. Models and spend: anyone uses any model, and nobody owns the bill. 5. Where models live: a separate gateway for every provider, and no view of who sent what. Five layers, five or more vendors, and still no one can answer the simple questions: which agents are running, what they can reach, and what they cost. That's why we built xpander.ai as one platform across all five. The same agents in Slack, Teams, ChatGPT or Claude. A secure, recorded place for them to run. One set of rules, one budget, one view of every model. And it runs where you need it: your VPC, your data center, air-gapped, or our cloud. Which layer is the messiest in your org right now? #EnterpriseAI #AIAgents #AIGovernance #xpander Xpander.ai

Say yes to AI. Not to sprawl. AI agents have moved faster inside companies than anyone planned for. Engineers run Claude Code and Codex on their laptops. Teams connect new MCP servers every week. Finance finds out about the AI bill after it's already been spent. And security teams are left with a single tool, "no", which mostly teaches people to stop asking. That's agent sprawl, and it's becoming the default. Gartner expects the average Fortune 500 company to run more than 150,000 agents by 2028. We don't believe the answer is to block AI or slow your teams down. We believe every agent deserves a governed place to run. That means you can see every agent, who owns it and what it costs. Risky actions go to the right person for a quick approval instead of hitting a wall. Credentials stay out of laptops, teams keep the agents and models they love, and everything runs inside your walls: your cloud, on-prem or fully air-gapped. 🟪 That's what we're building at xpander: one governed platform for every agent, model and tool your company runs. The companies that win with AI won't be the ones that said no the longest. They'll be the ones that learned to say yes, safely. How is your team handling agent sprawl today? We'd love to hear it in the comments. 🖇️ xpander.ai #AIagents #AIgovernance #EnterpriseAI #ClaudeCode

You want AI agents to work for you and make work easier. But reality looks like this: - 2 a.m. troubleshooting - Wasted tokens on failed jobs - Endless prompt-and-reprompt loops to remind agents what you’re working on and how it should be done That’s exactly why we built Omni: so you can get value from agents without spending all your time building and babysitting them. Just describe what you want to achieve, and Omni takes care of the rest. It wires connectors and skills, sets up the system prompt and schedule, tests the agent, and keeps agent running. So stop wasting time building agents and start actually using them. Maybe you can even enjoy your lunch, like David, while Omni takes care of the work 😉 Enjoy the 1000 free credits and take Omni for a test drive: https://chat.xpander.ai/

earlier this spring, i made a Claude skill to assist our solutions engineers, aka my content bestie, with creating blog posts—from idea to seo brief to interview to first draft. so i built something, then i'd share it with them for review, then they'd test it and give me feedback—by exporting the claude chat. we'd do this exporting and refining and exporting and refining like at least 5 more times, before we were happy. 🫪 for something that feels so advanced and transformative like AI, this way of working feels sooooooooooo stone age to me. 😮💨 like, how can we not collaborate with our teams and agents at the same time? what good does it do if i or my team have skills/agents that are trapped in our laptops? that's why i'm so excited to join xpander.ai, as the first marketing hire and employee #6. David and Ran showed me there's a better way to work with agents, without compromising security, speed, and quality—i wholeheartedly trust them. and today we're announcing our $7.5M seed funding to democratize AI and help every business become AI-native, without the vendor lock-in. read the full announcement here: https://lnkd.in/geY5uhGt

Every business will become AI-native. The question is whether it will own the stack that gets it there. Today, I’m excited to announce that xpander.ai has raised $7.5M to democratize AI agents without vendor lock-in. Companies shouldn’t have to choose between committing their entire AI strategy to one vendor and managing dozens of disconnected point solutions. And with employees already adopting desktop agents, control and governance can’t be an afterthought. xpander gives enterprises ownership of their AI stack, with the flexibility and performance needed to bring agents into production. Thank you to Carl Franzen VentureBeat for covering our vision: https://lnkd.in/gxsfByD5 Try xpander with 1,000 free credits: https://chat.xpander.ai

Happy to announce xpander.ai's latest funding round💫 We’re full throttle on the mission we started two years ago - helping organizations adopt AI in a way that creates real organizational impact. We all know that two years in this space, which is literally changing our reality, is an eternity. That’s exactly why our customers chose us - so our product can help them prepare for their AI-Native future, which is a must for every organization, and is incredibly hard to get to without a platform like ours. Huge thank you to the customers that chose us 🤝 Moving forward from this milestone with a ton of conviction that we’re working on the right thing, at the right time. Read about the platform and the funding round here: https://lnkd.in/dbcgwNGc Also, we're launching our new product today - Omni - a generalist AI agent that builds, deploys, and optimizes custom agents. Try it now for free at https://chat.xpander.ai