¶Most mid-market companies don't run on a single stack. They run on email in Google Workspace, chat in Slack, deals in Salesforce, numbers in QuickBooks, tickets in whatever the support lead chose three years ago, and a few spreadsheets the ops person built in Airtable that became load-bearing without anyone deciding. Nobody is pure-Microsoft. Nobody is pure-Google. Every AI pitch this year skates past this.
¶Google put the question plainly last October. "An agent is only as good as its context," the Gemini Enterprise announcement read, "so Gemini Enterprise securely connects to your company's data wherever it lives." The headline called it "the new front door for AI in the workplace." Google is right that context is what makes an agent useful. Everyone agrees on that. The disagreement is who should own the context, and whose front door the customer walks through to reach it.
¶Google's answer is Google's. From where Google sits, a world where every knowledge worker's day starts at gemini.google.com is a good world. Microsoft's answer is Copilot, and from where Microsoft sits, that's equally reasonable. OpenAI is positioning ChatGPT Enterprise as the layer where work happens. Apple wants Siri to be the intelligent surface on the device you already carry. Anthropic has assembled its own version this spring, with Claude Cowork as the surface, Managed Agents as the runtime, and Orbit as the proactive briefing layer reading across Gmail, Slack, GitHub, Calendar, Drive, and Figma. Each has good reasons. None of those reasons are the customer's.
¶The customer's reason is simpler and almost never appears in the keynotes. They want the work done. They want to keep using the tools they already pay for, including the ones their vendors compete with. They want the layer that connects everything to be on their side.
¶That's the side Maasv takes. It's the only one. Use Google. Use Microsoft. Use OpenAI's models or Anthropic's. Use the thing your ops lead built in Airtable that somehow became the system of record for onboarding. Connect all of it to Maasv. Maasv isn't routing your work through a provider that also sells you the CRM, the productivity suite, or the foundation model. It isn't angling to become the home screen. It doesn't need your allegiance to work.
¶"Vendor-neutral" is a claim anyone with a marketing page can make. What makes the neutrality durable is the shape of the thing underneath. Maasv is dedicated per organization. One tenant per customer, not a seat in a shared graph. It runs on the customer's infrastructure, inside the customer's boundary, under the customer's keys. The derived knowledge graph, the cognition layer that gets built from a year of meetings and messages and deals and decisions, lives where the company lives. It doesn't route out. It doesn't join a broader corpus. It isn't training anyone else's model. Switzerland isn't a mood. It's geography.
Switzerland isn't a mood. It's geography.
¶The phrase for what's at stake here doesn't exist yet, and the absence is telling. Data sovereignty is well-worn territory; the industry has argued for a decade about where files are stored. LLM neutrality is the next layer up; Glean and a few others have staked ground there. Both matter. Neither is sufficient.
¶Call the missing layer context sovereignty. The derived cognition, the graph of who decided what and when and why, the patterns a system learns from watching a company work. That asset belongs to the company that generated it. Not to the suite vendor whose apps were the sources. Not to the model provider whose API was called. Not to the vendor who happened to be the one stitching it together.
¶It's a fresh concern but a live one. Info-Tech Research Group's Future of IT 2026 survey, run across more than 700 IT leaders, found 72% listing data sovereignty and regulatory compliance as their top AI-related challenge for 2026, up from 49% a year earlier. A 23-point jump in twelve months is a market telling you what it's thinking about.
¶The failure mode isn't hypothetical. Last weekend, Vercel disclosed a breach: an employee installed a third-party AI assistant called Context.ai, granted it broad OAuth access to their Google Workspace, and Context.ai was later compromised. Attackers took over the Vercel employee's Google account and reached Vercel's internal systems, where they decrypted environment variables that were sitting in plaintext at rest. The lesson is architectural. When the layer that reads across your stack is a multi-tenant service holding your OAuth tokens, its breach becomes your breach. The blast radius is a function of the architecture, not the pitch deck.
The blast radius is a function of the architecture, not the pitch deck.
¶Connection itself is commoditizing; Anthropic donated the Model Context Protocol to the Agentic AI Foundation, a Linux Foundation directed fund, in December and "we connect to everything" will be table stakes by year-end. What's left to decide is what happens to the graph those connections build. Who holds it. Whose incentives it serves.
¶Maasv's answer is the customer's. That's why the deployment model is shaped the way it is, and why the Switzerland posture holds under pressure instead of evaporating the first time a sales incentive points somewhere else.
¶Maasv doesn't take sides. The only side it has is yours.