An enterprise platform for building, deploying, and governing AI agents across workflows.
Lyzr is an enterprise AI agent platform for teams moving automated workflows into production. It combines agent development tools, workflow orchestration, and centralized governance with engineering and business implementation support.
Teams can build new agents or govern agents built in other frameworks. Production and governance plans include Reimagineers and forward-deployed engineers who help define workflows, deploy agents, support adoption, and measure business results.
Architect creates agents from plain-language descriptions. Agent Studio supports visual building, testing, and tuning, alongside engineering workflows for integrations and deployment. Teams can test against a sandbox of their systems.
Agentic OS connects agents, workflows, and enterprise systems around business objectives. SuperFlow orchestrates agents into multiple steps to run processes end to end.
Opencontroller provides a shared view of agents across frameworks and environments, with policies, audit trails, spend limits, evaluations, versioning, observability, and human approval controls.
Responsible AI modules provide hallucination checks, PII masking, and bias evaluation to help teams assess outputs and manage sensitive information.
Agent Blocks supplies memory, tool calling, retrieval-augmented generation, orchestration, and connectors that developers can assemble in their own runtime.
Openfinetuner fine-tunes open-weight models on an organization's own data, allowing teams to use smaller models for recurring tasks. It is a separately priced addition to a plan.
Match supplier invoices to purchase orders, flag discrepancies with supporting documents, and draft supplier replies for finance approval.
Analyze submitted documents for signs of tampering or forgery to support fraud review and claims decisions.
Review, compare, and negotiate nondisclosure agreements against company standards.
Collect supplier documents, verify information, and coordinate approval workflows for procurement teams.
Yes. The Build plan is free with no time limit for building and testing. Production plans start at $100,000 per year, while enterprise governance is custom priced. Prices are in US dollars and billed yearly.
Production agents draw from an annual agent-month budget based on role and activity. At standard activity levels, assistants use half an agent-month, specialists use one, and experts with reserved virtual machines use two per month. Model providers are paid directly; Lyzr does not bill for model tokens.
Production plans support Lyzr hosting or deployment in your own cloud. Governance plans support your cloud or on-premises infrastructure. Lyzr Optimus, an appliance for running agents, models, and governance on owned hardware with an air-gapped option, is scheduled to ship in Q4 2026.
Lyzr offers an Agent Test Drive to selected enterprise teams. Participants bring one real workflow and build working agents with Lyzr engineers using their own data before deciding whether to proceed.
トラフィックデータは参考情報としてご利用ください。
gptbots.ai
An enterprise platform for building and deploying AI agents across support, sales, search, and data workflows.
adk.dev
Agent Development Kit (ADK) is an open-source framework for building, evaluating, and deploying conversational and non-conversational AI agents. It supports multi-agent systems, tools, structured workflows, and production runtimes across Python, TypeScript, Go, Java, and Kotlin.
cloud.google.com
An open Google Cloud platform for building, deploying, governing, and optimizing enterprise AI agents.
learn.microsoft.com
Microsoft Agent Framework is a developer framework for building, orchestrating, and deploying AI agents and multi-agent workflows. It supports implementations in Python and .NET.
dataiku.com
An enterprise platform for teams building and governing analytics, ML models, and AI agents.
zbrain.ai
A governance-first enterprise AI platform for building, deploying, and overseeing agentic solutions.
