Compare — Akka vs. Salesforce Agentforce

Agentforce is agents inside Salesforce. Akka is an open platform.

Agentforce is packaged inside the Salesforce CRM suite: its agents are grounded in Salesforce data, its reasoning and state live inside Salesforce, and it runs only on Salesforce-hosted infrastructure. Akka is an open agentic platform that runs any workload across any system, on the cloud, VPC, Kubernetes, or on-prem you choose — you own the stack.

Agentforce vs. Akka

Bound to Salesforce, or open.

Agentforce — Salesforce-bound agents

It lives inside the CRM suite

Agentforce is an application-layer agent built into Salesforce. Agents are written in Agent Script in Agentforce Builder, compiled into an Agent Graph, and executed by the Atlas Reasoning Engine, grounded in Salesforce CRM objects and Data 360, formerly Data Cloud. Data 360 is a technical prerequisite and the agents are an add-on to your Salesforce licenses.

Agentforce reaches non-Salesforce systems through Flow and API callouts, and MuleSoft Agent Fabric connects Agentforce agents to other agents over A2A. The orchestration, reasoning, and state stay inside Salesforce, and it runs only on Salesforce-hosted SaaS. Salesforce decides where the agent is deployed.

Akka — Platform

It runs anywhere you put it

Akka is the runtime an agentic system runs on. Akka provides native agents, durable in-memory state, real-time streaming, an API layer, orchestration, observability, and governance as one platform, for any workload across any system, independent of any single SaaS data model.

Akka carries no platform prerequisite and no vendor data model. You deploy it on Akka cloud, a hyperscaler VPC, your own Kubernetes, on-prem, or sovereign cloud, and the specs are portable. The stack is yours to own and move.

Head to head

Akka runs the whole stack on infrastructure you own.

DimensionWith AgentforceWith Akka
Scope Agents are grounded in Salesforce CRM metadata and Data 360 and reach external systems through Flow, API callouts, and A2A, with reasoning and state inside Salesforce. A general-purpose runtime for any agentic workload across any system, with no dependence on a single SaaS data model.
Deployment Salesforce-hosted SaaS only, as an add-on to Salesforce licenses, with Data 360 as a technical prerequisite. Runs on infrastructure you own — Akka cloud, a hyperscaler VPC, your Kubernetes, on-prem, or sovereign cloud, with portable specs.
Availability No contractual uptime SLA; the standard Main Services Agreement commits to "commercially reasonable efforts" to keep the services available 24 hours a day, 7 days a week, with no automatic service credits. 99.9999% on the entire platform, backed by contractual indemnities, with sub-1-minute RTO, zero-byte RPO, and active-active HA/DR.
State & reasoning Held inside Salesforce — CRM metadata and Data 360 — bound to the Salesforce data model. Durable state held in memory, vendor-neutral and active-active replicated, at 4 ms reads and sub-10 ms writes.
Governance The Einstein Trust Layer detects toxicity and bias, applies zero data retention with LLM providers, and keeps an audit trail, with data masking disabled for agents. Salesforce publishes EU AI Act guidance and leaves the classification of each system to the customer. Akka Verify applies any control to any AI system and guarantees its enforcement, with pre-deployment classification against 241 regulations and frameworks and 1,718 controls.
Spec-driven delivery Agent Script combines deterministic logic with prompt instructions, and Agentforce Vibes drafts a plan before it writes code. Testing Center checks an agent against expected actions and a described expected response. Akka Specify builds agentic systems from your specifications and releases only what meets your definition of done.
Model optimization Agent Optimizer (GA October 2026) reads production sessions and ranks recurring failure patterns by impact. A/B Experimentation (Beta) splits traffic between agent variants, and MuleSoft Agent Fabric model proxies route LLM traffic. Akka Optimize puts each request on the best model for the task, including smaller models trained on your data.
Cost model Consumption pricing charges $0.10 per action (20 Flex Credits) or $2 per conversation, so the meter moves with every action or conversation. Per-user add-ons at $125 or $150 a user a month give employees unmetered use. One shared-compute runtime carries the same workload on up to 90% less infrastructure, at a fixed annual fee. Akka Optimize keeps improving the models on your own production traffic, so cost per task keeps falling as the system runs.
Governance & the EU AI Act

Apply any control to any AI system.

Salesforce governs Agentforce through the Einstein Trust Layer and governs agents built on other platforms through MuleSoft Agent Fabric. Salesforce publishes EU AI Act guidance and leaves the classification of each system to the customer.

Agentforce — Trust Layer and Agent Fabric

Safeguards and gateway policy

Guidance for the EU AI Act

Agentforce governs through the Einstein Trust Layer: toxicity and bias detection, a zero-retention LLM gateway, and an audit trail, with data masking disabled for agents. MuleSoft Agent Fabric applies access, tool, and spend policies to agents built on any platform, and its Agent Kill Switch cuts a quarantined agent off from its models.

Neither the Trust Layer nor Agent Fabric classifies a system against the EU AI Act before deployment. Salesforce keeps audit trails of prompts in the Trust Layer and of MCP traffic in Agent Fabric.

Akka — Enforce

Before the action

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. Akka covers any agentic workload, including the parts outside a single SaaS application.

Choosing between them

Pick for where the work lives.

Choose Agentforce when

Reach for Agentforce when the work lives inside Salesforce — agents grounded in your CRM data and Data 360, automating processes on Salesforce objects and business logic — and you are already committed to the Salesforce platform and its licensing, and content to have Salesforce host and run the agent layer for you.

Choose the platform when

Reach for Akka when the agentic workload must span multiple systems of record, carry a contractual availability SLA, govern to the EU AI Act across the whole system, and run on infrastructure you choose — any cloud, your Kubernetes, on-prem, or sovereign cloud — with portable specs and no dependence on a single vendor's data model.

Build on an open platform.

The Akka Agentic AI Platform runs, governs and optimizes the entire agentic system under a contractual SLA, across any system, on the infrastructure you own. Tell us what you are building, and we will show you how it runs in production.

Talk to Akka