What LumiMerse is, how it differs from a chat assistant or a generic automation tool, and how teams use it to build AI systems they can explain and govern.
LumiMerse is a visual platform for building, governing and deploying AI-powered workflows and agentic systems.
Instead of relying on a single AI chat interface, LumiMerse lets teams connect AI models, data sources, tools, APIs, business logic, engineering applications, human approvals and domain-specific capabilities into reusable workflows.
The goal is simple: make sophisticated AI systems easier to build, understand, control and reuse.
ChatGPT and Claude provide powerful AI models and assistants. LumiMerse provides the system around the models — letting you visually combine AI with data, tools, code, rules and human decisions into reusable workflows.
| ChatGPT / Claude | LumiMerse | |
|---|---|---|
| Primary role | AI assistant and reasoning model | Visual platform for building AI-powered systems |
| Interaction | Prompt or chat with the AI | Design the complete workflow visually |
| Workflow visibility | Much of the reasoning and execution happens inside the AI | Each major step is visible and configurable |
| Tools & logic | AI calls available tools when needed | Explicitly combine AI, Python, APIs, calculations and business rules |
| Domain specialisation | General-purpose intelligence | Build reusable domain-specific Blocks and workflows |
| Repeatability | Repeat tasks through prompts, agents or instructions | Turn processes into reusable workflow templates |
| Control & validation | Review the AI’s output | Add validation, approvals and human review directly into the process |
With ChatGPT or Claude, you typically tell the AI what you want done. With LumiMerse, you design how the entire process should work. For example:
ChatGPT, Claude and other AI models can therefore become components inside a LumiMerse workflow.
AI models provide the intelligence. LumiMerse provides the workflow, structure and control.
Not directly. LumiMerse is designed to work with the broader AI ecosystem rather than replace it. Organisations may already use models and services from OpenAI, Microsoft, Google, AWS, Anthropic, open-source providers, or their own internal systems.
LumiMerse provides a visual orchestration layer where these technologies can be combined into structured, reusable workflows.
The value is not simply access to an AI model. It is the ability to turn models, tools, data, APIs, rules and human expertise into a complete operational system.
Many workflow platforms focus primarily on connecting applications and automating general business processes. LumiMerse is being designed with more complex decision-making and domain workflows in mind, including engineering, scientific, technical and data-intensive applications.
The platform combines:
The long-term goal is not simply to create another automation tool, but to provide a platform for building reliable AI-enabled decision workflows.
n8n is a capable automation tool with a large connector library and the option to self-host. If your problem is moving things between applications — a new form submission creates a CRM record, a status change posts to Slack — it does that job well.
LumiMerse starts from a different problem: workflows where the hard part is the decision rather than the plumbing. Reading engineering or scientific data, running calculations over it, having agents interpret the result, validating that interpretation, and putting it in front of a person before anything is published.
Both are visual and node-based, and both can call AI models. The difference is what each one makes easy:
| n8n | LumiMerse | |
|---|---|---|
| Centre of gravity | Connecting applications and automating business processes | Building AI decision workflows over data |
| Typical unit of work | A record, message or event moving between systems | A dataset, document or analysis being interpreted |
| Computation | JavaScript and Python in code nodes | Python and computational tooling as a first-class step, with your own packages on Enterprise |
| Domain depth | General-purpose connectors | Reusable domain-specific Blocks for engineering, energy, geoscience, finance and other specialisms |
| What you inspect | Which node ran and what it returned | The reasoning behind a result, and the inputs and assumptions it rests on |
The two are not mutually exclusive. If n8n already runs your integrations, it can call a LumiMerse workflow over a webhook and take the result back.
AI systems can quickly become difficult to understand when they involve multiple agents, prompts, data sources, tools, conditions and external services. LumiMerse makes the workflow visible.
You can see how the system works, where information comes from, which components perform each task, and how outputs are passed between stages. That makes complex AI systems easier to design, explain, debug, review and improve.
A useful analogy is how visual analytics platforms made complex data analysis accessible to a much wider group of users. LumiMerse aims to bring similar accessibility to agentic AI workflows.
No. LumiMerse is designed so that domain experts, engineers, analysts, researchers and business users can understand and build workflows without needing to create every component from scratch.
At the same time, technical users can extend workflows with Python, APIs, custom tools, models and advanced integrations. The aim is to combine low-code simplicity with developer-level extensibility.
Blocks — the nodes you place on the canvas — are reusable components that each perform a specific function within a workflow. A block might:
Blocks can be combined visually to create much more sophisticated workflows.
Yes. This is one of the most important directions for LumiMerse. Different industries have very different workflows, data structures, terminology, validation requirements and software ecosystems.
LumiMerse can support domain-specific block libraries for areas such as engineering, energy, geoscience, manufacturing, finance, research, marketing and other specialist domains. An engineering workflow might look like:
Instead of forcing every organisation to build these capabilities from scratch, reusable domain blocks and templates can capture specialised knowledge directly within the platform.
Yes. Organisations can extend LumiMerse with their own tools, APIs, algorithms, models, data sources and internal applications.
This means a company can gradually build a private library of reusable AI capabilities that reflects its own domain knowledge and operating processes. Over time, those components become an organisational AI toolkit rather than a collection of disconnected experiments.
Yes. A major principle behind LumiMerse is build once, reuse many times.
A workflow can become a reusable template applied to different projects, datasets, customers, teams or business processes. Teams can also create standardised workflows for common activities instead of rebuilding prompts and AI processes every time.
When AI moves from experimentation into real business processes, organisations need greater visibility and control. LumiMerse is designed to make workflows explicit and inspectable, so teams can understand:
That makes AI systems easier to review, test, govern and improve.
No. LumiMerse is designed to combine AI automation with human expertise. Some tasks can be fully automated, while more important decisions may require review, validation or approval by a human expert.
Human-in-the-loop steps therefore become part of the workflow itself. The objective is not simply to automate everything, but to build better systems for human + AI collaboration.
We believe the future of AI is not just about better chatbots. It is about connecting AI reasoning with data, tools, software, domain knowledge, business rules and human expertise.
LumiMerse aims to become a visual environment where organisations can build these systems in a way that is understandable, reusable, extensible and governed.
From AI conversations to governed AI workflows — the visual workspace for building agentic systems around real-world work.
Looking for questions about plans and limits? Those are answered on the pricing page.