By Sagar Shankaran, Founder of CallSphere
At Cloud Next 2026 Google renamed Vertex AI to Gemini Enterprise Agent Platform and absorbed Agentspace. What actually changed and why a rebrand made sense.
Key takeaways
At Google Cloud Next 2026, Google renamed Vertex AI to Gemini Enterprise Agent Platform and folded Agentspace into the same product. The rename matters because it ends a three-product confusion (Vertex AI + Agentspace + Gemini API) and signals that Google is going all-in on agents, not just models. The platform now bundles agent building, deployment, data integration, security, and optimization under a single brand. This post unpacks what actually changed, what is new, what is just renamed, and what it means for buyers picking an agent platform in 2026.
Vertex AI was a 2021 brand designed to sell "AI Platform" to enterprises that mostly wanted MLOps. By 2025, Google had three overlapping things:
The three SKUs created exactly the confusion you would expect. Customers asked: "Do I build my agent in Vertex AI or Agentspace? Is the Gemini API different?" The rebrand collapses all three under Gemini Enterprise Agent Platform and signals one product, one billing surface, one developer experience.
A useful split:
New:
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Renamed / consolidated:
Most "new" features are genuinely new. The rebrand is doing real work, not just relabeling.
The platform is now sold as five bundled capabilities:
The bundle is meaningful because the friction in enterprise AI in 2025 was almost never "the model was not smart enough." It was data integration, security review, and cost optimization. Google is signaling that those are first-class problems, not afterthoughts.
The model layer also moved. Gemini 3.1 Ultra ships with a 2-million token context window and full multimodality (text, image, audio, video). Gemini 3.1 Flash-Lite is the cheap, fast workhorse for high-volume workloads. We deep-dive the implications in our 2M-context post.
The practical buyer move is to use Flash-Lite for the long tail (intake, classification, summarization), Pro for most reasoning, and Ultra for the cases where 2M context or strong multimodality actually changes the answer.
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If you were building on Vertex AI in 2025, your code keeps working — Google is doing the right kind of rebrand where the underlying APIs are stable. If you were on Agentspace, you migrate to the unified Gemini Enterprise UX. If you were on the raw Gemini API, you can stay there for individual model calls but you now have a real upgrade path to the platform when you need governance, partner agents, or evals.
Three buyer takeaways:
CallSphere is the AI voice and chat front-door — voice/chat/SMS/WhatsApp, 57+ languages, six verticals (healthcare, real estate, sales, salon, IT helpdesk, after-hours), HIPAA-friendly, $149/$499/$1,499 per month, 3–5 day launch. In a Gemini Enterprise stack, CallSphere captures the inbound conversation, qualifies and books, then hands off to whichever partner agent owns the workflow downstream (Workday for HR, Salesforce for sales, ServiceNow for IT, etc.). CallSphere is not trying to be a horizontal agent platform; it is the front-door that ships this week. See a demo.
A pragmatic checklist:
Is the rebrand just marketing? No. The rename is doing real work — consolidating three overlapping SKUs and unifying the developer experience. The new features (Workspace Studio, partner agents, Gemini 3.1) are independent of the rename and would have shipped either way.
Does my Vertex AI code break? Existing APIs are stable. New features ship through additive SDK surfaces.
Is this competitive with ServiceNow + NVIDIA? Different shape. Google is selling a horizontal agent platform; ServiceNow + NVIDIA is selling a workflow-anchored stack. Many enterprises will buy both — and put a focused front-door like CallSphere in front of them.
Written by
Sagar Shankaran· Founder, CallSphere
Sagar Shankaran is the founder of CallSphere, where he builds production AI voice and chat agents deployed across healthcare, hospitality, real estate, and home services. He writes about agentic AI, LLM engineering, and shipping voice agents that handle real calls in production.
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