Lyzr

According to its website, Lyzr provides a platform and expertise to deploy governed AI agents at scale. Its product line includes Agent Studio, a pro-code workbench for engineering teams to design, test, and ship production agents; Open Finetuning for fine-tuning open-weight models on your own data; Open Cowork, a governed AI coworker for employees; Architect, a no-code/vibe coding option for business users to build agents and apps; Optimus, an on-premise hardware appliance that runs agents, models and governance in a customer data centre, air-gapped, stated to ship Q4 2026; and Opencontroller, a single pane to run, monitor, and govern agents wherever they were built. The site also lists industry and function use cases, forward-deployed consulting teams, security and compliance certifications (GDPR, SOC 2 Type II, ISO 27001, HIPAA, CCPA), and technology partnerships with AWS, Google Cloud, and Microsoft Azure. Named customers and results shown include Verifone, WTW, Crown Castle, and Accenture.

Key features

• Agent Studio: design, test, and ship production agents with workflows, integrations, testing, and deployments
• Agent Blocks: composable memory, tool calling, RAG, orchestration, and connectors
• Open Finetuning: fine-tune open-weight models on your own data
• Open Cowork: governed AI coworker for every employee
• Architect: build agents and apps in one flow and bring your own agents (supports LangChain, CrewAI, Google ADK, AutoGen, Agentforce)
• Optimus: on-premise appliance to run agents, models and governance air-gapped in your data centre (ships Q4 2026)
• Opencontroller: one pane to run, monitor, and govern agents, with evaluations, guardrails, human-in-the-loop, versioning, and observability
• AI Governance for securing, governing, and measuring agents across teams and frameworks
• Agentic OS for connecting agents, workflows, and enterprise systems around a shared objective
• Sovereign AI deployment built around customer infrastructure, data, and rules
• Forward-deployed consultants, solution architects, agent engineers, and product managers

Best suited for

• Engineering teams deploying production AI agents
• Enterprises in banking, insurance, government, healthcare, fintech, and e-commerce
• Organizations needing governed or air-gapped on-premise AI deployment
• Business teams in revenue, marketing, customer success, HR, procurement, and legal functions

Pricing

Not stated on the website