Natural-language workflow building
Describe a process in plain language and turn it into an editable workflow graph that connects tools, data, and agents.
ModuleX
ClaimModuleX is an AI workflow orchestration platform for building agentic automations with natural language, connecting AI models, business tools, and internal data in one place.
Overview
ModuleX is an AI workflow orchestration platform for building agentic automations with natural language. It lets users describe a process in a prompt, convert it into an editable workflow graph, and run that workflow through chat, API, or SDK.
The product is positioned for individuals, teams, and enterprise organizations that need to connect AI models, business tools, and internal data in one place. Its site highlights a workflow builder, knowledge connections, client SDKs, 600+ tools, team collaboration, and enterprise deployment options.
Features
Multi-channel execution
Run workflows from chat, API, or SDK so the same automation can be triggered from different parts of your stack.
Knowledge grounding
Connect documents, guides, and internal data so workflows can retrieve relevant context through RAG-style lookup.
Builder options for different users
Use the visual canvas, code, or AI-assisted setup to build workflows in the way your team prefers.
Broad tool and model coverage
Connect to a large integration catalog that includes model providers, CRMs, databases, project tools, messaging apps, and more.
Tiered operational controls
Choose plan-specific controls such as credits, execution limits, analytics, team collaboration, self-hosting, SSO/SAML, and onboarding support.
Use cases
Process automation for teams
A product or operations team can describe a repetitive process in plain language, then refine the generated workflow graph before running it across connected tools.
Programmatic workflow execution
A developer can trigger the same workflow from an API call or SDK integration instead of only using the web interface.
Knowledge-aware automations
A team can connect documents or internal data so an AI workflow uses grounded context when answering questions or taking actions.
Enterprise deployment
An organization can plan a larger rollout with custom limits, analytics, audit logs, SSO/SAML, and onboarding support through the sales process.
Pros and Cons
Pros
- Supports workflow creation from natural language, visual canvas, or code.
- Runs workflows from chat, API, and SDK.
- Connects to internal knowledge sources and a large integration catalog.
- Offers clear plan tiers for solo users, teams, and organizations.
Cons
- The public site does not fully enumerate every integration or advanced feature in one place.
- Enterprise capabilities such as SSO/SAML, self-hosting, and dedicated support are reserved for sales conversations or higher tiers.
FAQ
What is ModuleX used for?
ModuleX lets you describe a process in natural language, turn it into an editable workflow graph, and run it from chat, API, or SDK.
Does ModuleX have multiple pricing plans?
The pricing page shows Free, Pro, Max, and Enterprise tiers. Pro and Max can be billed monthly or annually, and Enterprise uses custom pricing.
What capabilities does ModuleX expose across plans?
The homepage highlights workflow builder, knowledge connections, client SDKs, team collaboration, enterprise readiness, and 600+ tools. The pricing page also lists credits, workflow execution limits, API rate limits, storage, analytics, team collaboration, self-hosting, SSO/SAML, onboarding, and support by plan.
When should a team contact sales?
The contact sales page is aimed at enterprise rollouts and mentions SSO/SAML, self-hosted deployment, custom rate limits and credits, advanced analytics and audit logs, dedicated Slack support, and hands-on onboarding.
Quick Facts
- Category
- AI Workflow Orchestration
- Primary use
- Build and run AI workflows from prompts, chat, API, or SDK
- Distribution
- Web app with API and SDK access
- Pricing
- Free, Pro, Max, and Enterprise plans
- Enterprise contact
- contact@modulex.dev