Bedrock gives you AWS-locked building blocks — model access plus a set of AgentCore services — that you assemble and operate yourself, all inside AWS. An agentic system needs orchestration, agents, memory, streaming, APIs, and governance running together, anywhere you need to run it. With Bedrock you wire those services together and AWS owns where they run. With Akka you get one operated, governed runtime, and you own where it runs.
Bedrock provides model access and modular AgentCore services, including Runtime, Memory, Gateway, Identity, Code Interpreter, Browser, Observability, Policy, Evaluations, and Web Search, plus Guardrails and Knowledge Bases. Each is provisioned, billed, and operated on its own, and you own every seam between them.
The whole assembly lives inside AWS, on IAM, VPC and PrivateLink, CloudFormation, and CloudWatch. Amazon Bedrock publishes a 99.9% monthly uptime commitment on the model APIs, measured by request errors, with service credits as the remedy; the assembled system's failover, RTO, and RPO are yours to architect.
Akka delivers orchestration, agents, durable memory, streaming, APIs, observability, and governance as one pre-integrated runtime. There are no separate services to reconcile and no cross-service failure modes to inherit — one operational model carries the whole system.
Akka runs in your AWS VPC, on Azure or GCP, on your own Kubernetes, on-prem, or in a sovereign cloud, and moves between them on portable specs. Akka keeps it running around the clock with active-active replication and automatic failover, under a contractual 99.9999% availability SLA on the entire platform, backed by indemnities.
Akka Optimize puts each request on the best model for the task, including smaller models trained on your data.
| Dimension | With AWS Bedrock | With Akka |
|---|---|---|
| Portability | AWS only — IAM service-linked roles, VPC and PrivateLink, CloudFormation, CloudWatch, and proprietary service APIs. The assembled agent runs where AWS runs. | Any cloud, your own Kubernetes, on-prem, or sovereign cloud — on portable specs that move between them. |
| Availability | 99.9% monthly on the Bedrock model APIs, measured by request errors — about 8.8 hours a year — with service credits as the remedy; the agent layer has no dedicated SLA. | 99.9999% on the entire platform — about 31 seconds a year — active-active, sub-1-minute RTO, zero-byte RPO, backed by contractual indemnities. |
| State & memory | AgentCore Memory is a separate, separately-billed service you provision and operate alongside the agent. | Durable state held in memory, active-active replicated and built in — 4 ms reads, sub-10 ms writes. |
| Governance | AgentCore Policy blocks tool calls that break a rule before they run, for agents routed through an AgentCore Gateway. Bedrock Guardrails screen the same calls. AWS maps these controls to no named regulation. | 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, into tamper-evident storage. |
| Spec-driven delivery | Kiro, an IDE built by AWS, turns prompts into requirements, a design, and sequenced tasks, and checks the requirements for contradictions. AgentCore Evaluations scores agents against reference answers and expected tool sequences. | Akka Specify builds agentic systems from your specifications and releases only what meets your definition of done. |
| Model optimization | Intelligent Prompt Routing picks between models in one family for $1 per 1,000 requests. Model Distillation trains a smaller model on a larger model's responses, including logged production traffic. AgentCore Optimization recommends and A/B-tests prompt and tool-description changes (preview). | Akka Optimize puts each request on the best model for the task, including smaller models trained on your data. |
| Runtime track record | AgentCore reached general availability in October 2025, with Policy and Evaluations GA in March 2026 and Guardrails in Policy GA in June 2026 — capabilities still landing. | since 2009 and 100,000+ production deployments, including 52 banks. |
| Infrastructure cost | Consumption meters across the AgentCore services — per-vCPU-hour, per-request, per-token — on top of separately billed model inference; every layer the agent touches is its own meter that moves with load. | 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 AWS commodity infrastructure.
| AWS chargeable item | Without Akka | With Akka |
|---|---|---|
| AgentCore Runtime | Per vCPU-hour, per GB-hour | Included |
| AgentCore Memory | Per GB ingested, retrieved, and stored; per record, per retrieval | |
| AgentCore Gateway | Per tool call, per tool search | |
| AgentCore Observability | Per GB ingested into CloudWatch | |
| AgentCore Policy | Per policy decision | |
| AgentCore Evaluations | Per token, per evaluation | |
| Bedrock model inference | Per token | |
| Bedrock Guardrails | Per text unit | |
| Bedrock Model Distillation | Per teacher token, per training token | |
| AWS Step Functions | Per state transition | |
| DynamoDB, Aurora | Per request, per GB | |
| ElastiCache, MemoryDB | Per node-hour | |
| Kinesis, MSK, SQS, SNS | Per shard-hour, per message | |
| Managed Flink | Per KPU-hour | |
| EventBridge, EventBridge Scheduler | Per event, per invocation | |
| EKS | N/A | Per cluster-hour |
| EC2 | N/A | Per instance-hour |
| EC2 GPU capacity | N/A | Per accelerator-hour |
| RDS | N/A | Per instance-hour plus storage |
| S3 | 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.
AgentCore Policy and Bedrock Guardrails enforce rules on the tool calls of agents whose traffic passes through an AgentCore Gateway.
Authorize, filter & approve
AgentCore Policy checks each tool call that passes through an AgentCore Gateway and denies calls that break a rule before they run. Bedrock Guardrails screen the same calls for prompt injection and sensitive data. Temporal policies can require human approval before a privileged action. AWS logs every policy evaluation to AgentCore Observability.
AgentCore Policy covers agents whose traffic runs through an AgentCore Gateway on AWS. AWS maps its AI controls to no named regulation. Audit Manager's generative AI framework (110 controls) and Security Hub's AI Security Best Practices standard (31 controls) check AWS recommendations.
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.
Reach for Bedrock when you are committed to AWS and want to stay there, when you are drawing on Bedrock model access and are comfortable assembling the AgentCore services around it, and when your team is ready to provision, bill, and operate each of those services and own the seams and the failover between them.
Reach for Akka when you want orchestration, agents, memory, streaming, APIs, and governance pre-integrated and operated under one SLA, when you need to run in any cloud, on-prem, or a sovereign environment without binding to a single provider, and when governance has to enforce named regulations inline, before an action runs.
The Akka Agentic AI Platform builds, runs, governs and optimizes the entire agentic system under a contractual SLA, in your AWS VPC, on another cloud, on your own Kubernetes, or on-prem. Tell us what you are building, and we will show you how it runs in production.
