WorkLLM

Vs

Lyzr.ai

Lyzr.ai is built for organizations that want to design, deploy, and run AI agents to automate enterprise workflows. WorkLLM is an enterprise AI workspace built for teams — where shared context, collaboration, and AI come together to support real work, not just conversations.

This page helps you decide which one fits your organization best.

Trusted by enterprises

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What each product is best at

Start here if you just want the essence before the big table.

Lyzr.ai

An agent-first automation platform: build agents (low-code), connect knowledge (RAG), integrate tools, and deploy securely (cloud, VPC, or on-prem)

WorkLLM

A multi-LLM AI workspace built for teams — with shared context, collaboration, role-based AI Assistants, AI Tools, and context-aware AI Agents that help teams move work from idea to execution.

The difference?

Lyzr.ai focuses on building and deploying AI agents to automate workflows. WorkLLM focuses on how teams work together with AI — consistent outputs, shared context, and collaboration inside one workspace.

Full Comparison

Primary purpose Agentic AI automation platform to build/deploy agents for enterprise workflows AI workspace designed around real team workflows across the organization
Multi-LLM support Positions “model & tool freedom” (use any LLM; no lock-in) 300+ AI models optimized by task type, strength, and cost
Context & memory Knowledge Base features support RAG (no-code KB and document understanding) Persistent, shared context across conversations, tools, and team activity
Collaboration Team usage is enabled via builder licenses / shared agent building (license-based) Full workspace collaboration with shared chats, comments on AI responses, and group conversations
AI Assistants RAG-powered agents can act as knowledge assistants (KB connected to agents) Dedicated RAG-powered AI Assistants trained on company or team knowledge (i.e. HR Assistant, Sales Assistant, etc.)
AI Tools Not positioned as standalone “AI Tools”; value is delivered through agents + blueprints/templates Pre-built and customizable AI Tools that generate consistent, professional outputs with built-in context (i.e. Blog Writer, Social Post Generator, etc.)
AI Agents Core offering: low-code Agent Studio to build, deploy, and manage workflow agents Context-aware AI Agents that monitor events, make decisions, and take action across connected tools. (i.e. Weekly Summary report, Auto Lead follow up, etc.)
Integrations & app capabilities Agents can be integrated with enterprise systems via APIs/connectors; custom integrations supported (enterprise) Deep, workflow-oriented integrations designed for cross-tool execution
Prompt builder & library Prompting is primarily configured inside agents/blueprints; not positioned as a standalone prompt builder + shared library Central Prompt Builder with a shared Prompt Library across teams
Reporting & analytics Platform-level visibility for running agents (activity/monitoring/governance features) Detailed reports on usage, adoption, and activity by team and user
Tenant model Cloud, plus deployment in customer VPC or fully on-prem with “zero data egress” positioning Separate tenant per organization
Security & controls Security program references SOC 2, GDPR, HIPAA, ISO 27001; governance/traceability features appear in plans Enterprise-ready security with workspace isolation and governance
Pricing Free plan available. Paid plans include $19/mo, $99/mo, and $999/mo tiers; Enterprise is custom $20/user/month (Basic) and $30/user/month (Pro); 10% discount on annual plans

Disclaimer: Information about Lyzr.ai is based on publicly available documentation and product information as of January 2026. Features, pricing, and capabilities may change over time.

When To Choose Which

Choose Lyzr.ai if...

You want an agent-first automation platform to build and deploy workflow agents Lyzr
Your priority is secure deployment flexibility (cloud, VPC, on-prem) for regulated environments Lyzr
You want RAG knowledge bases connected directly into agents for grounded responses

Choose WorkLLM if...

You use multiple AI models in one shared workspace
Your teams need to work together on AI outputs
You don’t want to re-explain background and decisions every time AI is used
You don’t want to re-explain background and decisions every time AI is used
You want AI to help finish work, not just generate drafts — through AI Assistants, AI Tools, and AI Agents

Happy Customers

Customer satisfaction is our major goal. See what our customers are saying about us.

See how WorkLLM compares in practice

We’ll walk you through real workflows and enterprise use cases.