In May 2023, Samsung Electronics banned ChatGPT across the entire company after engineers accidentally leaked proprietary semiconductor code through the chatbot. The ban held for three years. Last month, Samsung reversed course entirely — deploying ChatGPT Enterprise, Google Gemini, and Anthropic's Claude to more than 300,000 employees worldwide.
The latest phase arrived on July 13. Google Cloud announced the rollout of Gemini Enterprise to Samsung's Device eXperience division globally — described as its largest agentic AI deployment in Korea to date. The system goes well beyond simple chat. Samsung employees can now search internal data, analyze documents, and build AI agents that execute multi-step tasks across company systems.
Three things stand out. First, Samsung did not choose one AI provider. It deployed all three major models simultaneously — OpenAI, Google, and Anthropic — because different tasks demand different strengths. Second, the reversal from outright ban to full deployment took less than ninety days once the decision was made. Third, Samsung needed Google Cloud's enterprise infrastructure, custom security agreements, and a dedicated integration team to make it happen.
That third point is the one worth sitting with. Samsung is a $230 billion company with 270,000 employees and its own semiconductor division. It still needed a major cloud partner to deploy AI agents safely across its workforce. What does a fifty-person company do? A ten-person agency? A solo operator who wants the same multi-model capability without the enterprise contract?
They use Viktor.
Viktor runs on the same three AI models Samsung deployed — Claude, GPT-4, and Gemini — all included in a single credit balance. Viktor selects the right model for each task automatically. That is exactly the multi-model approach Samsung spent months negotiating with three separate vendors. You get it out of the box.
Samsung's security concerns were real. Engineers leaking code through AI tools is not theoretical — it happened, and it cost the company three years of AI access. Viktor solves this the same way Samsung's enterprise deployment does: credentials stored in an encrypted vault, never visible to the AI. Data never used for model training. Every sensitive action requires explicit approval before it executes.
The difference is access. Samsung's deployment required Google Cloud contracts, dedicated engineering, and months of integration work. Viktor delivers enterprise-grade security and multi-model AI through a Slack integration that takes minutes to set up. No cloud vendor negotiations. No integration team. No three-year detour.
A Note on Security
Viktor is SOC 2 certified, GDPR aligned, CCPA compliant, and CASA Tier 3 certified. Your credentials never touch the AI — they are stored in an encrypted vault and injected at runtime. Your data never trains a model (contractual agreements with OpenAI, Anthropic, and Google). Every sensitive action waits for your approval in Slack before it executes. Full security details: viktor.com/security
You get $100 of free credits to begin. No time limit, no commitment. That's enough to do real work and see what Viktor can actually do before you spend a penny. There's also $50 off your first bill. You must use this exact link to receive both benefits.
Disclosure: Some links in this article are affiliate links. If you choose to get started with Viktor using the links provided, I may receive a commission — at no additional cost to you. I only recommend tools I use and believe in.