Sign in Start free

Build reliable AI
workflows visually.
Then run them again.

Design AI agents on a visual canvas, connect them to your data and tools, and turn your experts’ analysis into workflows that show every step and wait for sign-off.

Start building free See how it works

Free forever · no card · bring your own model key

supplier-comparison  ·  run 214● running 4/6
Working with

“Grid compliance work used to mean weeks of manual assembly just to produce something defensible. QMerse cut that down and kept the audit trail intact.”

Dr Yousef Pipelzadeh — Founder & CEO, Velon Energy
See it work

The whole canvas, stop by stop.

Pick a stop to see that part of the app up close, or let the tour play through them.

    1 / 8
    Node palette
    Data and file inputs, agents, Python scripts, flow control (switch, loop, merge), outputs and logs, all drag and drop.
    The QMerse canvas in light mode: the node palette on the left, a toolbar with Code, JSON, Prompts, Variables, API, Evaluate, Run and Debug, and a data-loading flow on the canvas.
    The QMerse canvas in dark mode: five Python script tools feed a Data Loader Agent, a Data Router agent takes the query and a data file, and the result leaves as markdown. The flow library is on the left and model settings on the right.
    Use cases

    Workflows people have built.

    Example builds, each handing back a finished result (a form, a dataset, a report or an app) rather than a chat reply.

    See all use cases
    How it works

    From business process to repeatable workflow.

    QMerse sits between the information your business already has and the decisions someone has to make about it. A process done by hand becomes one you can run again, inspect, and hand to someone else.

    1. 01 · Connect

      Start from what you already have.

      Documents, spreadsheets, databases, APIs and business tools. There is no data platform to stand up first.

    2. 02 · Build

      Wire the process on the canvas.

      Extract, analyse, calculate, compare and decide, step by step, with agents, Python and the tools you already run.

    3. 03 · Approve

      A person signs off what matters.

      The workflow pauses on the steps that matter and carries on once a person approves.

    4. 04 · Deliver

      Get a finished result, then run it again.

      Structured data, reports, comparisons, alerts or processed documents. Run it again tomorrow and the process is the same.

    What you get

    The parts you wire together.

    Wire documents, data, models and code together on one canvas, then reuse what works on the next project.

    Visual workflow builder

    Connect reusable components on a canvas and see the whole process at once, instead of reading it out of a script.

    A routing flow on the QMerse canvas: an Orchestrator agent hands each question to a specialist agent such as the CSV Stat Agent and returns one answer.

    Any model, your key

    OpenAI, Anthropic, Azure or a local model, with your own API key. We do not mark up inference.

    The QMerse settings panel: one model setting applied to all LLM nodes, and cost estimation per run.

    Python, APIs and your tools

    Drop into Python for logic that must be exact, and call the systems your business already runs on, all in the same workflow.

    Python script nodes read_pdf, read_excel and read_file wired as tools of the Data Loader Agent.

    Templates

    Start from a template that already runs, then save your own and apply it to the next project, dataset or client instead of rebuilding it.

    The EDA Agent, a saved agent on the QMerse canvas: an EDA Router and an EDA Agent with a query and a CSV file input.
    No lock-in

    Build it visually. Take the code with you.

    Export compatible pipelines as Python, keep your own model keys, and keep a full history of every run. Your workflow does not depend on us to keep running.

    Runtime
    Export compatible pipelines as Python and run them yourself
    Portability
    Deploy that code anywhere; it does not need us to run
    Output
    Ship a working application, with charts people can explore
    Start building free→ Ask about private deployment
    workflow / supplier-comparisonEXPORT → pipeline.py
    run history keptprivate deployment on request
    Who it’s for

    Built for the people who build.

    QMerse is built around a job, not an industry: work that depends on someone’s judgement, turned into a workflow that runs again and again, and still shows why it decided what it decided.

    See the full breakdown
    Questions

    Common questions.

    Read the full FAQ
    Why use QMerse instead of just ChatGPT or Claude?

    ChatGPT and Claude give you the model. QMerse gives you the system around it: the workflow that combines AI with your data, tools, code, rules and human approvals, and runs the same way every time.

    How does QMerse compare to n8n?

    n8n is strong at connecting applications. QMerse is built for workflows where the hard part is the decision: read the data, run the calculation, have agents interpret it, validate the result, and put it in front of a person. n8n can call a QMerse workflow over a webhook.

    Do I need to be an AI developer?

    No. Domain experts, engineers and analysts build workflows from existing components. Technical users can go further with Python, APIs, custom tools and their own models.

    Can someone build it for us?

    Yes. Zapwiser, the team behind QMerse, can identify, design and implement your first production workflow, then hand it over to your team. How the two fit together.

    Build your first workflow this afternoon.

    Create a free Creator account, with no credit card and no time limit.

    Start building free→ Contact QMerse→

    Want someone to build it for you?Work with Zapwiser ↗