Technology partner

Computational engineering for chemical projects

Simon Lab structures engineering data as code. Project-as-Code means verifiable, auditable and machine-readable projects - from the grant phase through to delivery.

Let's talk about your project
Process engineering and computational engineering
Philosophy

Project-as-Code

Traditional chemical projects live in static documents: grants as PDFs, P&IDs as drawings, simulations as spreadsheets. Each handover introduces errors, and the project's logic gets lost in formats that no system can read.

Project-as-Code reverses this paradox. We define process parameters, material balances and equipment specifications in structured, versioned code from the very start.

  • Mathematics validates itself automatically
  • Simulations compile from definitions
  • AI can read, check and optimise
  • Every decision is traceable and auditable
Applications

Simon Lab tools

A suite of applications supporting the digital workflow in process engineering.

Available

LabelHash

Generation of ISO 20560-compliant process labels for pipelines, tanks, reactors and vessels.

Available

ProcessView

P&ID visualisation with built-in physics simulation. Validation of flow behaviour and control logic before commissioning.

In development

GrantKernel

Conversion of research intent into executable project definitions. Mathematical validation, unit consistency, PDF compilation.

In development

LabDaemon

Multi-agent assistant for laboratory workflows. Experiment monitoring, measurement reminders, data integrity.

In development

PlantMesh

Generation of three-dimensional plant environments from ProcessView definitions. Spatial verification, clash detection, operator training.

In development

SiteCommit

Version control for construction. Tracking of specification changes, supplier substitutions and execution modifications.

Benefits

What does the investor and contractor gain?

🔍

Auditability

Every decision and every change is versioned. They can be traced at any time.

🤖

AI-ready

Projects written as code can be read, validated and optimised by computational systems.

⚡

Fewer errors

Mathematical validation before the first funding application. Fewer mistakes during delivery.

🔗

Data consistency

Grant, P&ID, simulation, documentation and 3D model come from a single source of truth.

Let's build a computational-ready project

If you run a chemical project, an industrial installation or a production plant, let's talk about how Project-as-Code can reduce risk and cost.

Contact us