Google Gemini Enterprise / Vertex AI alternatives
Google Gemini Enterprise / Vertex AI is cloud infrastructure for building and operating an application. Nagent and 8 other sourced options for growth teams, with the questions to ask before a switch.
Google Gemini Enterprise / Vertex AI is cloud infrastructure for building and operating an application. This page lists Nagent and 8 other sourced alternatives for growth teams, each with published pricing, governance evidence and a dossier. Nagent is multiplayer AI for marketing, sales and CX: agent teams and people in one shared workspace, from $29.99 a month.
Why teams look beyond Google Gemini Enterprise / Vertex AI
Google Cloud’s agent development and operations platform, now incorporating the former Vertex AI surface.
Consumption-based cloud pricing
Gemini Enterprise app entitlements and Agent Platform consumption are distinct.
Google’s stack is a build-versus-buy and ecosystem decision. It can underpin a custom growth platform and should not be scored as a weak marketer merely because it is infrastructure.
Read the Nagent vs Google Gemini Enterprise / Vertex AI guide for the detailed comparison.
Nagent and 8 alternatives
Nagent
Multiplayer AI platform for growth teams: AI agent teams for marketing, sales and CX work with people in one shared workspace, with Smriti memory, Karma scoring and autonomy that is earned, not deployed.
Microsoft Foundry (Azure)
Microsoft’s cloud foundation for building, evaluating, governing and operating AI agents.
Amazon Bedrock AgentCore
AWS runtime and services for deploying and operating agents with enterprise controls.
Dust
Collaborative enterprise AI workspace for teams to build and use connected agents.
Relevance AI
AI workforce platform for building and operating agents, with strong go-to-market templates.
StackAI
Enterprise agent builder oriented to governed workflows and private deployment.
Glean
Enterprise context, assistant and agent platform spanning search, creation and work execution.
WRITER AI Studio
Enterprise agent studio and control plane for governed, interoperable automation.
ServiceNow AI Agents
Autonomous agents built on ServiceNow data and workflows, with enterprise-wide control tooling.
How to evaluate a switch
Three evaluation scenarios for this category. Each names the inputs, the required output and the measure.
Build one complete business workflow
Implement one narrowly scoped marketing, sales or CX process with a real test integration. Include a human approval surface, a state store and a useful trace. Record engineering effort for the entire path instead of counting only the code required to call a model.
Measure: implementation effort, deployment repeatability and accepted task completion.
Operate through failure and change
Simulate a tool timeout, a model change and a permission revocation. Verify safe retries, tenant isolation and rollback. Ask the business owner to inspect the result without relying on a platform engineer to interpret every log entry.
Measure: recovery time, duplicate actions, policy enforcement and operator usability.
Estimate the full operating bill
Measure model calls, runtime, storage, retrieval, tools and monitoring for representative workloads. Add engineering, support and evaluation effort. Compare the estimate with a scoped application or managed-service proposal using the same workload and acceptance criteria.
Measure: cost per accepted task, variance at peak load and ongoing engineering hours.
The evaluation owner should be the platform engineering and business workflow owners. Use reliable business execution at a sustainable total operating cost as the business target.
Frequently asked questions
Why would a team look for a Google Gemini Enterprise / Vertex AI alternative?
Google Gemini Enterprise / Vertex AI is cloud infrastructure for building and operating an application, priced at Consumption-based cloud pricing. Teams compare alternatives when their work spans more functions than one tool covers, when the commercial basis does not fit their volume, or when they need specific governance controls demonstrated before rollout.
Is Nagent an alternative to Google Gemini Enterprise / Vertex AI?
Nagent is a multiplayer AI platform where agent teams for marketing, sales and CX work with people in one shared workspace, with approval before irreversible actions and an append-only audit trail. It overlaps with Google Gemini Enterprise / Vertex AI where a growth team wants agents to do the work, and differs in operating model, governance and delivery.
Which other Google Gemini Enterprise / Vertex AI alternatives are listed here?
Microsoft Foundry (Azure), Amazon Bedrock AgentCore, Dust, Relevance AI, StackAI, Glean, WRITER AI Studio, ServiceNow AI Agents. Each is in Google Gemini Enterprise / Vertex AI's category or shares a growth function with it, and each has a sourced dossier with pricing and governance evidence.
How does Nagent pricing compare with Google Gemini Enterprise / Vertex AI?
Nagent publishes 4 plans, from $29.99 a month, with monthly credits as the unit of agent work. Google Gemini Enterprise / Vertex AI: Consumption-based cloud pricing. Gemini Enterprise app entitlements and Agent Platform consumption are distinct.
How should I evaluate a Google Gemini Enterprise / Vertex AI alternative?
Run one bounded pilot on the work Google Gemini Enterprise / Vertex AI does for you today and ask each alternative to show the same outcome with the controls you need: who can propose, approve, execute, interrupt and audit the action. Which services are required beyond the model call to implement shared memory, approvals, traces and rollback?