Lyzr
Lyzr AI · Coding
Lyzr is an enterprise AI agent platform where teams build, test, and run agents in production. Describe an agent in plain language, connect it to your data, and govern every agent from one dashboard.
About Lyzr
What Is Lyzr
Lyzr is a platform for building AI agents and putting them to work inside real business workflows. It targets companies that want agents running against live systems, not just demos. The core idea is simple: you describe what an agent should do in plain language, then connect it to the tools, data, and knowledge it needs.
The platform splits into three layers. Agent Studio is the visual builder where business users and developers design agents side by side. Architect is the engineering workbench for shipping production agents with testing, versioning, and deployments. Underneath both sits a set of primitives: memory, tool calling, retrieval, and orchestration that you can compose in your own runtime.
Lyzr's main limitation is its focus. It's built for enterprises and teams with real workflows to automate, not for casual tinkering. Building and testing stay free forever, but running agents in production means a yearly commitment that starts around $100K, so individuals and small side projects aren't the target audience.
Getting Started
- Sign up on the Lyzr site and open Agent Studio
- Describe your agent in plain language and watch a working version appear
- Test it safely against a sandbox of your systems before touching live data
- Connect the tools, knowledge bases, and model provider you already use
- Move the agent to production so it starts running against your real systems
Product Information
A quick look at Lyzr's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Enterprise teams running workflows on agents
- Business users without coding skills
- Engineering teams shipping agents
Tasks
- Regulatory and compliance filing
- Document review and negotiation
- Cloud cost tracking
- Customer support triage
Scenarios
- A bank preparing filings under shifting regulations
- An insurance team screening submitted documents
- A company that already runs agents from Copilot, Bedrock, or LangGraph
Key features
Visual Agent Studio
Agent Studio is the build-and-tune workspace. You describe an agent in plain language and get a working version you can refine visually. It targets business users, so a demo-ready agent doesn't require a developer in the loop, and it's the closest thing here to a no-code AI agents builder. You can also bring agents you already built in LangChain, CrewAI, Google ADK, or AutoGen and manage them here.
Architect Pro-Code Workbench
Architect is the workbench for engineering teams. It covers the parts that matter once an agent moves past demo: workflows, integrations, testing, and deployments, all in one place rather than scattered across scripts and dashboards. The result is a single spot to design, test, and ship production agents.
Agentic OS and Orchestration
Lyzr connects agents, workflows, and enterprise systems around a shared objective and orchestrates execution end to end. Instead of isolated agents firing off, multi-step workflows coordinate several agents to run a process from start to finish. SuperFlow workflows handle this orchestration inside the platform.
AI Governance Layer
AI agent governance is the product's answer to agents scattering across a company. It adds a standard for how agents are secured, measured, and controlled across every team and framework. You set policies, audit trails, and per-agent spend limits, and you see every agent in production from one pane, whether Lyzr built it or not. Agents from Copilot, Bedrock, and LangGraph are governed the same way.
Sovereign AI Deployment
Sovereign AI runs agents around your infrastructure, your data, and your rules. You can host on Lyzr or in your own cloud at the same price, covering your own cloud costs. On-premises runs on Lyzr Optimus hardware, priced separately and shipping in Q4 2026.
Enterprise Security and Compliance
Lyzr holds a SOC 2 Type II report plus ISO 27001:2022 and ISO 42001:2023 certifications, and its security program follows GDPR and HIPAA. Reports live in the Lyzr Trust Center. For teams in banking, insurance, and finance, that paperwork is often the difference between a pilot and a live deployment.
Model-Agnostic and Token-Free Billing
You bring the model provider you already pay for, or run open-weight models on your own hardware. Lyzr never charges for model tokens, so you pay your provider directly and the platform charges only for its own layer. Pricing is built on agent-months, a unit that mirrors how you'd budget roles on a team.
Pros and cons
Pros
- Building and testing agents is free with no time limit, so you can prototype before committing budget
- Governance covers agents built outside Lyzr, which helps teams that already have agents from Copilot, Bedrock, or LangGraph
- You pick your own model provider and pay them directly, so there's no markup on tokens
- Blueprints for banking, insurance, finance, legal, and government shorten the gap between idea and working agent
- Available hosted by Lyzr or in your own cloud at the same price
Cons
- Production plans start around $100K a year, which puts the platform out of reach for individuals and small teams
- On-premises deployment depends on Lyzr Optimus hardware that ships in Q4 2026, so it isn't an option yet
- The strong enterprise focus means lighter, casual use cases get more overhead than they need
- Pricing is billed yearly, so there's no month-to-month way to try production cheaply
Frequently asked questions
Yes for building and testing. You can describe, build, and tune agents with no time limit and no cost. Agents only start drawing from a budget once they run in production, connected to your live identity provider, tools, and data.
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