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AI-native engineering workspace for water & wastewater

Aqua Process. Simplified.

From water analysis to engineering deliverables — in one workspace.

Mining Water Reuse

Project data

Flow
20 m³/h
TSS
2,000 mg/L
TDS
10,000 mg/L
COD
200 mg/L
pH
10
Target
Agricultural Reuse

Validation

  • High TSS — pretreatment required upstream of RO
  • RO feed data incomplete — silica and hardness missing
TK-101
P-101
DAF-301
F-401
RO-501
Sludge to TK-901 Permeate to reuse

Deliverables

  • Design Basis
  • Block Flow Diagram
  • Equipment List
  • Technical Proposal

Live process train

One flow. Seven engineering steps.

  1. 01Water AnalysisFeed quality and flow as structured data
  2. 02Engineering Validation
  3. 03Process Selection
  4. 04Engineering Calculations
  5. 05BFD
  6. 06Equipment
  7. 07Technical Proposal
Raw waterReuse water

What you actually get

Editable engineering documents and diagrams, generated from validated project data — not chat transcripts.

Design Basis

Feed water, treated water targets, hydraulics, margins and standards, in one approved document.

Block Flow Diagram

Units, streams, recycle and sludge lines drawn from the structured process model.

TK-101P-101 A/BDAF-301F-401RO-501

Equipment List

Tagged equipment with duty, sizing basis and quantity, traceable to a calculation.

Technical Proposal

Process description, scope, equipment and consumption figures assembled automatically.

From a real project brief to engineering deliverables

A mining water reuse case, carried through the AquaProcess workflow without re-entering a single value.

From a real project brief to engineering deliverables

A mining water reuse case, carried through the AquaProcess workflow without re-entering a single value.

  1. 1Water Analysis
  2. 2AI Understanding
  3. 3Engineering Rules
  4. 4Process Selection
  5. 5BFD
  6. 6Equipment
  7. 7Technical Proposal

Project input

Industry
Mining
Flow
20 m³/h
pH
10
TDS
10,000 mg/L
TSS
2,000 mg/L
COD
200 mg/L
Target
Agricultural Reuse

Feed water and flow captured as structured project data.

Why this is not a chat window

A general assistant writes plausible text. An engineering workspace holds state, calculates, and stands behind every number it prints.

General AI chatAquaProcess
Project dataRe-pasted into every promptStored once as a versioned engineering context
NumbersGenerated by a language modelComputed by deterministic, versioned rules
DiagramsASCII sketches or nothingVector BFD rendered from the process model
RevisionsOld answers silently contradict new onesAffected deliverables flagged and regenerated

AquaProcess

Engineering software, not a chatbot

Language models are useful for reasoning and explanation. They are not a substitute for engineering calculation or for a consistent project state.

AI reasons and explains

The assistant interprets your water analysis, screens technologies and justifies each recommendation against project data.

Deterministic code calculates

Flows, loads, margins, dosing and power come from versioned engineering rules — not from a model guessing a number.

Renderers build deliverables

Documents come from templates and diagrams come from a structured drawing model, so output is repeatable and editable.

Engineers review and approve

Every artifact carries a revision, a status and the exact engineering snapshot it was generated from.

One project. One engineering state.

The failure mode that destroys trust is a BFD that says 20 m³/h, an equipment list that says 25 and a proposal that says 30. AquaProcess binds every deliverable to the same immutable engineering snapshot, and marks downstream artifacts as outdated the moment an upstream input changes.

Disconnected AI documents

  • BFD — 20 m³/h
  • Equipment List — 25 m³/h
  • Proposal — 30 m³/h

AquaProcess

  • Snapshot #4 — 20 m³/h
  • All deliverables — 20 m³/h
  • Change flow → affected artifacts flagged

Start your first project

Enter a brief and a water analysis. AquaProcess handles the structure, the calculations and the paperwork.