Agent Clarity
Full observability into every agent decision and reasoning step, never a black box
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Watch it directly ↗Teams are switching because they want lower complexity, complete ownership, and production-ready AI agents that ship without AWS dependency or cloud lock-in holding them back.
Lyzr replaces managed black-box infrastructure with transparent, composable AI agents. You get faster iteration cycles, stronger compliance posture, and full architectural control without sacrificing enterprise scale.
Full observability into every agent decision and reasoning step, never a black box
Swap LLMs, orchestration tools, or hosting infrastructure anytime without rebuilding your agents
Native safety rails and detailed audit logs that satisfy enterprise security, governance, and regulatory requirements
Ship production-ready AI agents in days instead of weeks of cloud configuration
Dedicated engineering guidance through every phase of your transition from Bedrock to Lyzr
Teams across financial services, human resources, and operations are replacing Bedrock Agent workflows with Lyzr for greater production reliability and granular control.
Migrate support bots from Bedrock to Lyzr for smarter routing and compliance
Replace rigid AWS RAG pipelines with Lyzr knowledge agents for faster, access-controlled retrieval
Move multi-step Bedrock automation flows to Lyzr agents with cleaner orchestration and audit trails
You built on Bedrock to move fast. Lyzr is where you go when you are ready to move smarter and own every layer.
Eliminate per-invocation token fees, hidden Bedrock pricing layers, and managed service overhead
Swap individual agent components freely without rewriting your entire pipeline or orchestration logic
Built-in compliance features replace the need to bolt on third-party safety tools post migration
Lyzr provides active engineering support throughout your transition, not just documentation links
From multi-agent coordination to on-premise hosting, Lyzr is engineered for teams that need deeper control than what managed AWS services can provide.
Coordinate multiple specialized agents in a single pipeline natively without custom glue code
Connect OpenAI, Anthropic, Mistral, or your own private models without being locked to one vendor
Deploy Lyzr agents entirely within your own infrastructure for data-sensitive regulated industries
Agents retain context and learn from previous interactions across sessions, moving far beyond stateless API calls
Full trace logs, step-by-step reasoning visibility, and performance dashboards available out of the box
| Feature | Generic AI Platforms | AWS Bedrock AI | Lyzr |
|---|---|---|---|
| LLM Model Flexibility | Single model only | Bedrock models subset | Fully model-agnostic stack |
| On-Premise Availability | Cloud hosted primarily | Cloud only no option | Complete on-prem option |
| Agent Orchestration | Requires custom code | Limited native tools | Native multi-agent support |
| Auditability | No built-in logs | Requires extra services | Built-in configurable logs |
| Agent Memory | Stateless by design | External DB required | Persistent native memory |
| Compliance and Safety Rails | Not natively built | Patchwork approach | Integrated governance layer |
| Migration Help from Team | Self serve only | Docs only help | Dedicated engineering guidance |
| Deployment Control | Vendor controlled | AWS managed limits | Full infrastructure control |
| Tool and Integration | Limited connectors | AWS ecosystem bound | Open extensible framework |
| Cost Transparency | Opaque invoicing | Hidden layer fees | Transparent clear pricing |
Designed from day one for enterprise security, compliance, and high-volume production workloads
Every layer of the platform is open and swappable, from LLMs to integrations to memory stores
Teams have successfully moved from Bedrock and other managed platforms without production disruption
Safety, fairness, and explainability are not add-ons in Lyzr. They are foundational agent defaults.
Leading enterprises across financial services, healthcare, and technology trust Lyzr to power their AI agent infrastructure with the control and compliance their industries demand.
We spent months wrestling with Bedrock limitations instead of shipping agents that mattered. After migrating to Lyzr, our deployment time dropped by sixty percent. Our compliance team finally had the audit trails they had been requesting for quarters. The freedom from AWS dependency alone changed how we plan our entire AI roadmap going forward into next year.
VP of Engg · Engineering Lead at FinServe
Data exfiltration incidents
Map your existing Bedrock agents, knowledge bases, flows, and integration dependencies thoroughly
Translate your Bedrock agent logic into Lyzr modular framework with proper tooling alignment
Deploy agents in Lyzr sandbox, validate outputs, and benchmark performance against your Bedrock baseline
Go live in production with Lyzr engineering on standby for dedicated hypercare and monitoring
Migrating from AWS Bedrock Agents to Lyzr means moving your agent infrastructure, orchestration logic, and LLM connections onto a platform you fully control. Your use cases and business outcomes stay the same. What changes is the underlying architecture, giving you better compliance, faster iteration cycles, transparent agent behavior, and freedom from AWS vendor dependency. Lyzr maps closely to Bedrock concepts, making the transition structured.
Most migrations complete within two to six weeks depending on agent complexity and the number of integrations involved. The process follows clear phases: audit, architecture design, sandbox testing, and production cutover. Lyzr provides dedicated engineering support throughout each phase, significantly accelerating timelines compared to self-guided migrations. Simpler setups have gone live in under ten days.
Not at all. Lyzr's agent framework maps closely to Bedrock's model but removes many constraints that slow teams down. You retain your core agent logic while gaining modular architecture and native orchestration. Lyzr's migration team walks you through every technical step, from knowledge base porting to LLM reconnection, ensuring nothing breaks during transition.
Yes, Lyzr supports every major LLM available through Bedrock, including Claude, Titan, and Llama models, plus many others Bedrock does not offer. The platform is fully model-agnostic, so you can connect OpenAI, Anthropic, Mistral, or your own private fine-tuned models. You are never locked into a single provider's model catalog again.
Lyzr includes native guardrails, granular audit logs, and configurable safety policies as default platform features. Unlike the patchwork approach AWS requires where you bolt on CloudTrail, Config, and third-party tools, Lyzr provides unified governance from a single pane. On-premise deployment options add another compliance layer for regulated industries needing full data residency control.
Absolutely. Lyzr natively supports multi-agent pipelines where specialized agents coordinate within a single workflow. Bedrock's agent coordination patterns translate directly into Lyzr's orchestration model, often with fewer lines of configuration. You gain cleaner handoffs between agents, better error handling, and full visibility into each step of the pipeline execution.
Teams consistently report significant cost reductions after migrating. You eliminate per-invocation fees, managed service surcharges, and hidden Bedrock pricing layers. Lyzr gives you the flexibility to run agents on your own infrastructure or more cost-effective cloud options. Transparent pricing means no surprise bills, and you only pay for the compute and capacity you actually use in production.
On-premise deployment is a core Lyzr capability and one of the primary reasons regulated enterprises choose to migrate. Unlike Bedrock's cloud-only model, Lyzr agents run entirely within your own infrastructure, keeping sensitive data behind your firewall. This is essential for financial services, healthcare, and government organizations with strict data residency and sovereignty requirements.
Yes. Lyzr agents include persistent memory architecture as a native feature. Unlike Bedrock's stateless default, which requires you to build external database integrations for context retention, Lyzr agents remember past interactions across sessions automatically. This dramatically improves conversation continuity, personalization quality, and agent effectiveness in production customer-facing workflows.
Lyzr provides hands-on migration support with dedicated engineers assigned to your project. You receive structured migration playbooks, architecture design sessions, sandbox environments for testing, and hypercare support post-launch. This is fundamentally different from AWS's self-serve documentation model. Lyzr's team stays engaged until your agents are stable in production.
Platform, people and FDEs, all in. Bring your environment. We’ll co-build and stay until it’s
live.