AI Workflows & Connectivity for Engineering Calculations - Maple Flow
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AI Workflows & Connectivity for Engineering Calculations

Auditable calculations that move from the engineer’s worksheet to everyone who relies on them, without losing the math.

Build in Minutes with AI
Nine workflows for creating, sharing, and structuring calculations with AI coding assistants.
Share Across Your Team
Put Maple Flow calculations in Excel, CAD models, and Python pipelines your team already uses.

AI ASSISTED WORKFLOWS
Math lives in Maple Flow - everything else stays familiar.

Your team is being asked to put AI to work, and engineers spend too much time rebuilding calculations that already exist somewhere – in a spreadsheet, a script, or a technical paper, and even longer getting them to the right people in the right format.

Maple Flow works with AI coding assistants such as Claude Code and Codex, alongside Maple* to generate worksheets from existing sources - a prompt, an Excel spreadsheet, a MATLAB script, or a technical paper. Generate quickly, then review before relying on the output.

Nine Workflows. Three Moves.

Create

Turn a sentence, a spreadsheet, or a script into a live Maple Flow worksheet 
  • 1 of 3

    A Maple Flow worksheet, from a single sentence

    Describe the calculation you need, and an AI coding assistant produces a structured Maple Flow worksheet with live 2D math, unit-aware inputs, images, and every equation’s source documented.

  • 2 of 3

    A spreadsheet becomes a live Maple Flow worksheet

    Turn a spreadsheet into a calculation document your team can trust. An AI coding assistant translates Excel cell logic into a Maple Flow worksheet - formulas become readable equations, hidden references become documented assumptions, and the math is visible.

  • 3 of 3

    A MATLAB script becomes a Maple Flow worksheet

    Turn a MATLAB script into a calculation document engineers can read and review. An AI coding assistant converts script logic into a Maple Flow worksheet – loops and procedural code become high-level solvers and natural 2D equations, without losing the underlying math.

Share

Turn a sentence, a spreadsheet, or a script into a live Maple Flow worksheet 
  • 1 of 3

    A Maple Flow worksheet becomes a spreadsheet

    Share calculations with colleagues who don’t use Maple Flow. An AI coding assistant converts a Maple Flow worksheet into an Excel spreadsheet, exposing selected inputs and outputs through a familiar interface while keeping the calculation logic intact behind the scenes.

    A Maple Flow worksheet becomes a spreadsheet
  • 2 of 3

    A Maple Flow worksheet becomes a desktop app

    Put your calculations in the hands of anyone on your team. An AI coding assistant turns a Maple Flow worksheet into a standalone desktop application – inputs, results, and an update button – shareable with colleagues who don’t use Maple Flow.

  • 3 of 3

    A Maple Flow worksheet becomes a web app

    Make your calculations accessible to anyone, anywhere. An AI coding assistant converts Maple Flow worksheet into a browser-based application with no front-end code written by hand and can be run in any browser.

    A Maple Flow worksheet becomes a web app

Structure

Feed your AI coding assistant an image, technical paper, or a library of worksheets
  • 1 of 3

    A circuit diagram becomes a Maple Flow worksheet

    Point an AI coding assistant to a circuit schematic and it extracts the component equations – fetching datasheets and parameters where needed and assembles them into a dimensionally consistent Maple Flow worksheet.

  • 2 of 3

    Technical papers become a math model

    Turn a technical paper into a working engineering calculation. An AI coding assistant reads the source, parses empirical data, and builds structured Maple Flow worksheet with correct polynomials, solved equations, and full provenance back to the original document.

    Technical papers become a math model
  • 3 of 3

    A worksheet library, summarized

    Turn a folder of Maple Flow worksheets into a single searchable index. An AI coding assistant generates a new summary worksheet - key results, significant equations as live math, plot screengrabs, and a link back to each original.

    A worksheet library, summarized
CONNECTIVITY
Maple Flow Connects to the Rest of Your Engineering Stack

Data import / export

Bring data in; reuse results
• Excel, CSV, text and tables
• supplier or test data
• report-ready outputs

AI Assisted Workflows

Automate traditionally human-centric processes
• generate worksheets
• convert disconnected code + calcs
• translate technical resources to calculations

CAD Workflows

Parametric connections via Excel
• calculate dimentions
• drive parameters
• update models automatically

Application screenshot

Excel interface

Expose only what users need
• selected inputs and outputs
• hide detailed logic
• simple front end for teams

Python API

Connect to broader toolchains
• automation scripts
• batch analysis
• integration with other tools

Code Generation

Delpoy to a code base
• C, C#, Python, VB and more
• Optimized, fast and efficient

Maple Flow sits at the center of a broader workflow - connecting to the data sources, interfaces, and engineering systems already in place. Whether that means deploying calculations to Excel, driving CAD dimensions parametrically or automating through Python, Maple Flow fits into the workflow rather than replacing it.

Deploy Maple Flow Worksheets Directly to Excel

With the Maple Flow add-in for Excel, engineers can deploy their worksheets directly to a spreadsheet. The worksheet runs silently in the background - engineers interact with it through familiar Excel inputs and outputs, while Maple Flow keeps the calculation logic, unit tracking, and 2D math intact.

Deploy Maple Flow Worksheets Directly to Excel
Connect Maple Flow to Your Engineering Toolchain via Excel

Many engineering tools already have a parametric link to Excel. With the Maple Flow add-in, engineers can plug live Maple Flow calculations directly into that existing network.

  • Map an Excel cell to a model dimension. Change the value in Excel and the CAD model updates instantly, with Maple Flow powering the calculations in the background. Watch How
  • Paste a live link from a Maple Flow powered Excel spreadsheet into a Word report. Any changes to parameters or results are automatically reflected in the document. Watch How
Run engineering calculations as part of a Python workflow

Use Python to run Maple Flow calculations programmatically and incorporate established engineering logic into larger automation, analysis, or data-processing workflows.

Run engineering calculations as part of a Python workflow
Engineering calculations that go further - connected, deployed, and ready for the way your team works.
See Maple Flow in Action
FAQ's
Yes. Maple Flow add- in for Excel lets engineers deploy their Maple Flow worksheet directly to a spreadsheet. Engineers on the team interact with the worksheet through Excel inputs and outputs without needing to open Maple Flow.
Maple Flow worksheets can be generated using Codex, Claude Code, and GitHub Copilot. Before generating, the AI coding assistant needs to be supplied with calibration files that define how a Maple Flow worksheet should be structured.
The Maple Flow add-in for Excel is the connectivity layer between Maple Flow and Excel. It allows engineers to deploy Maple Flow worksheets to a spreadsheet, expose selected inputs and outputs, and connect Maple Flow calculations to any engineering tool that already has a parametric link to Excel.
Any engineering tool with a parametric link to Excel can connect to Maple Flow through the Maple Flow add-in. Solid Edge is one documented example - CAD dimensions can be driven directly by Maple Flow calculations via Excel. Results can also be linked live into Microsoft Word reports.
Yes. Maple is required alongside Maple Flow for AI-assisted worksheet generation. Maple is not included with a standard Maple Flow license and may require an additional purchase.
Yes. An AI coding assistant can translate spreadsheet logic - hidden cell references, opaque formulas, and unlabeled calculations into a structured Maple Flow worksheet with natural 2D math notation and documented assumptions. The result still requires human review before being used as an engineering deliverable.
AI-generated worksheets need the same technical review as any calculation deliverable. The quality of the output depends on the AI model being used, the detail of the prompt, and the calibration files supplied. The same prompt may produce different results each time. An expert engineer should always review and approve the worksheet before it is relied upon for engineering outputs.