The Gemini Enterprise Agent Platform gives you Google Cloud building blocks to assemble inside Google Cloud. But a production agentic system needs agents, memory, streaming, APIs, and governance unified under one SLA — and bound to no single cloud. With the Gemini Enterprise Agent Platform you integrate separate Google Cloud services and stay on GCP for identity, models, and data. Akka delivers the whole system as one operated, governed platform that runs on any cloud, on-prem, or sovereign.
Google introduced the Gemini Enterprise Agent Platform at Cloud Next 2026 as the evolution of Vertex AI. Gemini Enterprise is the separate app that delivers agents to employees. The Agent Platform carries a code-first Agent Development Kit, a low-code Agent Studio, and templates in Agent Garden, plus a managed Agent Runtime, Memory Bank, and a Model Garden of more than 200 models. Each is a separate Google Cloud service the customer wires together and operates; the platform unifies the console and the namespace; the runtime underneath stays a set of services.
Google Cloud publishes a 99.5% SLA for online inference, and the Agent Runtime itself is excluded from the SLA. Identity runs through Google Cloud IAM, data lives in your GCP project, and models are served through GCP.
The Akka Agentic AI Platform gives you agents, durable memory, streaming, APIs, and governance as one pre-integrated runtime. You describe the system you want, and the platform generates it, tests it, and runs it — you do not integrate or operate the seams between an orchestration kit, a memory store, a streaming tier, and a governance stack.
Akka keeps it running around the clock with active-active replication and automatic failover, under a contractual 99.9999% availability SLA across the entire platform, backed by indemnities. Akka deploys on Akka cloud, any hyperscaler VPC, your own Kubernetes, on-prem, or a sovereign cloud — the specs are portable.
Akka Optimize puts each request on the best model for the task, including smaller models trained on your data.
| Dimension | With Gemini Enterprise | With Akka |
|---|---|---|
| Scope | Build tools plus a managed agent runtime; memory, governance enforcement, and the API and streaming tier are assembled from separate Google Cloud services the customer integrates. | The whole system on one runtime — orchestration, agents, memory, streaming, APIs, observability, and governance pre-integrated, with no seams for the customer to operate. |
| Availability | 99.5% on online prediction for custom models across 2 or more nodes — about 43.8 hours a year — and the Agent Runtime is explicitly excluded from the SLA. | 99.9999% on the entire platform — about 31 seconds a year — active-active, sub-1-minute RTO, zero-byte RPO, agent runtime included. |
| State & memory | Memory Bank plus session storage, metered at $0.30 per GiB-month stored plus read and write operations, provisioned as a separate service. | Durable state held in memory, active-active replicated — 4 ms reads, sub-10 ms writes, built into the runtime. |
| Portability | Bound to Google Cloud: IAM for identity, the GCP project for data residency, and models served through GCP. | Runs anywhere — Akka cloud, any hyperscaler VPC, your own Kubernetes, on-prem, or sovereign cloud, from one set of portable specs. |
| Governance | Agent Gateway applies default-deny access policies and Model Armor screening to agents on Agent Runtime. Semantic governance policies (preview) deny tool calls that break a rule. No Compliance Manager framework maps to the EU AI Act. | Akka Verify applies any control to any AI system and guarantees its enforcement — HITL, HOTL, guardrails, evaluations — into tamper-evident storage. |
| Spec-driven delivery | Conductor, a Gemini CLI extension in preview, keeps specifications and plans as Markdown files in the repository and has the agent work through the plan's tasks. Developers build agents in Agent Studio (low-code) or the Agent Development Kit (code). | Akka Specify builds agentic systems from your specifications and releases only what meets your definition of done. |
| Model optimization | Smart Routing in Gemini Enterprise runs each job on a Gemini or Claude model. The Agent Platform offers reinforcement learning fine-tuning for Gemini models and supervised and distillation tuning for open models. | Akka Optimize puts each request on the best model for the task, including smaller models trained on your data. |
| Infrastructure cost | Pay-as-you-go on multiple meters that scale with load — $0.085 per vCPU-hour and $0.009 per GiB-hour of runtime, per-token model calls, per-query search — plus per-seat app subscriptions. | One shared-compute runtime carries the same volume on up to 90% less infrastructure, at a fixed annual fee finance can forecast. Akka Optimize keeps improving the models on your own production traffic, so cost per task keeps falling as the system runs. |
To get the same capabilities of Akka, you need to integrate numerous, high-margin, meter-based services. Akka delivers higher performance and lower costs by only using Google Cloud commodity infrastructure.
| Google Cloud chargeable item | Without Akka | With Akka |
|---|---|---|
| Gemini Enterprise | Per seat, per month | Included |
| Agent Runtime | Per vCPU-hour, per GiB-hour | |
| Memory Bank, Sessions | Per GiB-month stored, per API operation | |
| Agent Gateway | Per API call or authorization request | |
| Apigee | Per API call | |
| Model Armor | Per token screened | |
| Vertex AI model inference | Per token | |
| Gen AI evaluation service | Per 1,000 characters, per token | |
| Vertex AI tuning and distillation | Per training token | |
| Cloud Workflows | Per step executed | |
| Firestore, Spanner, AlloyDB | Per request, per GB | |
| Memorystore | Per node-hour | |
| Pub/Sub | Per GB published | |
| Dataflow | Per vCPU-hour | |
| Cloud Scheduler | Per job, per month | |
| Cloud Logging, Cloud Trace | Per GB ingested, per span | |
| GKE | N/A | Per cluster-hour |
| Compute Engine | N/A | Per instance-hour |
| GPU capacity | N/A | Per accelerator-hour |
| Cloud SQL for PostgreSQL | N/A | Per instance-hour plus storage |
| Cloud Storage | N/A | Per GB stored and per request |
Akka provides spec-driven delivery, guardrails, red teaming, evaluations, AI policies, AI orchestration, AI memory, AI routing, inference, and SLM training within a single integrated stack that depends upon commodity infrastructure provided by the hyperscaler. Akka charges a fixed, annual fee without metering. With the hyperscaler, you integrate various high margin services together to create an AI solution. Each of those metered services include the relevant compute, storage, and I/O infrastructure within their fees.
Agent Gateway and semantic governance policies enforce rules on the traffic and tool calls of agents on Agent Runtime.
Authorize, screen & deny
Agent Gateway blocks every agent connection that no IAM access policy allows. Model Armor on the gateway blocks prompt injection, jailbreaks, and sensitive-data leaks. Semantic governance policies, in preview since June 2026, check each proposed tool call against rules written in plain language and deny calls that break them.
Agent Gateway currently covers agents on Agent Runtime, with Cloud Run, GKE, and other clouds listed as coming soon. Compliance Manager offers Google's recommended AI security practices and NIST AI 600-1 privacy controls (preview) as its AI frameworks. None of its frameworks maps to the EU AI Act.
Block & escalate
Risk teams govern every agentic system without waiting on its developers, and every control they apply is guaranteed to be enforced. Risk teams choose from 1,718 controls drawn from 241 regulations and frameworks. Human-in-the-loop approvals, human-on-the-loop halt switches, sanitizers, guardrails, evaluations, testing gates, and simulations all run before an action executes and block or escalate anything that does not pass.
Every call is traced automatically into petabyte-scale, tamper-evident storage, and that same trace data feeds continuous evaluations that keep running in production, right alongside your agents. A system is classified against 241 regulations and frameworks and 1,718 controls before it ships.
Reach for Gemini Enterprise when your organization is standardized on Google Cloud and intends to stay there, when you want to build agents with Google's ADK, Agent Studio, and Model Garden inside the GCP console, and when your team is ready to integrate and operate the memory, streaming, API, and governance layers around the agent runtime as separate Google Cloud services.
Reach for Akka when you are building a full agentic system — agents, memory, streaming, APIs, and governance — and you want them pre-integrated and operated under one SLA, with inline governance built in, and the freedom to run on any cloud, on-prem, or a sovereign environment without rebinding to one vendor's identity, models, and data.
The Gemini Enterprise Agent Platform gives you Google Cloud building blocks to assemble inside Google Cloud. The Akka Agentic AI Platform builds, runs, governs and optimizes the whole agentic system under a contractual SLA — on any cloud, on-prem, or sovereign. Tell us what you are building, and we will show you how it runs in production.
