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We're looking for 3 universities to pilot AI adoption with us. Here's why. Most universities are stuck in the same place right now: a few departments pay for ChatGPT seats, everyone else uses free accounts nobody governs, and IT has no idea what data goes where or what it costs. And giving everyone proper access is brutal on the budget; at $20 a seat, one AI model for 200 staff is $4000 a month. We built Playgram, an AI workspace designed to solve exactly this problem. We already work with several universities, with university-wide rollouts in some cases that include workshops and training. University of Sopron, for example, has onboarded their entire 200-person team to AI through Playgram. What faculty gets: Claude, GPT, Gemini, Grok, and open-source models in one workspace. No per-seat pricing. Benefits for the university: One contract, full visibility on usage and spend, EU or US data residency, and no bet on a single vendor. When a better model ships, you switch. Training and workflows stay. For the pilot, we bring the setup, the training program, and the rollout playbook from our existing deployments. You bring 20 to 100 staff members who you’d like to onboard to AI. If that's your university, or you know whose desk this should land on, comment "pilot" or DM me.

Everyone on your team picked their own AI tool, and probably most of it on personal accounts. Playgram brings every top LLM model into one workspace you can see and govern, without per-seat pricing.

"Is $500/month for a 200-person team actually real?" I get this every time I post. Short answer - YES. But the price isn't the point. 1. The "best model" keeps changing. One month GPT leads on reasoning, the next Claude pulls ahead, then Gemini ships something better. If your whole company is locked into one tool, you're permanently a step behind whoever picked right that week. 2. AI prices are climbing. Every provider is raising costs, and per-seat pricing means your bill grows with every hire, whether they use AI heavily or barely touch it. 3. Access is the easy part; adoption is the hard part. Buying licenses isn't adoption. Getting 200 people to actually reach for the best AI on every task is what moves output. Most rollouts die here. Playgram solves all three in one workspace: → Every top AI model (ChatGPT, Claude, Gemini, Grok, Qwen, Kimi, and DeepSeek) under one roof. When one model jumps ahead, your team's already on it. No new contract, no tool migration. You can also compare the output by switching models without losing any context. → Not per-seat. Playgram subscription stays flat when your headcount grows. → Shared memory + governance, so adoption actually spreads across the org instead of dying in 200 separate accounts. The teams winning with AI aren't the ones with the most seats. They're the ones whose entire team uses the best available model for every task - without thinking about tools. How do you give your whole team access to the best AI models right now?

Most companies think scaling AI is just about subscription fees. But besides the AI token expense, it quickly becomes a management nightmare. You end up tracking who has access to what, fielding tool requests, and finding out half the team has been expensing ChatGPT/Claude on personal cards because internal approvals take too long. Sounds familiar? We are already helping multiple companies fix this with Playgram. We put all top AI models: ChatGPT, Claude, Gemini, Grok, Qwen and more into a single workspace. Instead of a messy software stack, you manage one. Everything is governed in one place, and the bill stays flat as your team grows. For example, we helped Rapiddev give their entire 200-person team full access to the best AI models for just $500 a month. If you're rolling out AI across a 200 to 500-person team, leave a comment so we can discuss your specific case and have a demo.

See how your university can give the whole faculty and students access to all major AI models (ChatGPT, Claude, Gemini, Grok, and more) in one workspace, with access to different models for better work and research. All for one flat monthly bill.

How do you give a 200+ person team access to top AI models for $500 a month? Our client Matt from Rapidev rolled out AI across a 220-person team with Playgram, so everyone gets access to ChatGPT, Claude, Gemini, Grok, Qwen, and more from one shared workspace. No hundreds of separate seats. No pile of disconnected tools to manage. The team can switch between models mid-conversation without losing context, and save useful outputs as shared knowledge across the org. For growing companies, this means less disconnected AI tools, simpler access management, and a more cost-effective way to scale and adopt AI across the company. If you are rolling out AI across a 200 to 500 person team, Playgram is worth a look.