Generate01FEED Automation / DDS
Build a governed Room Data Sheet, then drive 20–30 drawings or engineering views from the same source.
Live in production with a pharma EPC consultancy
The AI operating layer for FEED process automation.
From design basis to compliant drawings in days, not months. Generate early-stage layouts, validate every drawing with the exact clause cited, and take FEED to an approval-ready decision.
Engineer in the loopClause-cited checksDWG / DXF outputRevision-tracked
epcfluxai.app / dashboard
15–18
Detailed layouts generated in hours
20–30
Primary drawings or engineering views
Exact
Clause cited for every verdict
Human
Engineer approval at every gate
§ 02 · The Problem
FEED stalls in drawing authoring. Then stalls again proving compliance.
01
Author
Engineers turn URS and room data into layouts, discipline by discipline.
02
Revise
A client change restarts the loop and creates cross-drawing drift.
03
Validate
Each issue is checked manually against internal and regulatory standards.
04
Approve
Scope, quantities and compliance evidence are rebuilt for sign-off.
Flux AI connects both loops: generate from one governed design basis, then validate every output with a source-linked verdict.
§ 03 · The Workflow
Four outcomes drive the FEED decision loop.
Generate, validate, estimate and compare on one governed operating layer. Tender and knowledge workflows extend the same intelligence across the project.
01 · Generate
FEED Automation / DDS
Build the room book and generate coordinated layouts
Room dataLayoutsDWG / DXFRevision
02 · Validate
Drawing Compliance
Apply controlled checklists with cited verdicts
PassWarningFailClause
03 · Estimate
BOM, Cost & Approvals
Quantify scope and prepare approval evidence
BOMBOQRatesReport
04 · Compare
Vendor Intelligence
Score technical and commercial fit transparently
ProposalsComplianceRiskRanking
Speed
Weeks of review compressed into hours
Quality
Consistent, traceable, audit-ready output
Cost ↓
Lower man-hours, fewer rework cycles
§ 04 · Real Drawings
Built on the documents your engineers actually ship.
P&IDs, airflow schematics, ceiling layouts, point-of-use diagrams — Flux ingests them at full fidelity, then automates validation, BOM extraction and compliance scoring.
Validation01 / 04
AHU-G01 — Schematic Airflow Diagram
HVAC · 15,600 CFM · Multi Dosage Facility
Tag Cross-Ref02 / 04
P&ID — Potable Water (Sheet 3 of 6)
Utilities · Oncology OSD & Sterile Formulation
BOM03 / 04
Point of Use Layout
Service distribution · clean utilities
Compliance04 / 04
Ceiling Finish Layout
Architectural · GMP zoning
Symbols detected
Pumps · valves · dampers · diffusers · sensors
Tags cross-referenced
Pipe IDs · room numbers · equipment codes
Compliance scored
WHO GMP · EU Annex 1 · FDA 21 CFR · ICH Q7
§ 05 · Architecture
Five layers. One platform.
Each layer is replaceable. Each layer is observable. Each layer is deployable on its own — a modular, cloud-native architecture built for pharmaceutical-grade reliability.
GPT-4oGeminiClaudeSupabaseRechartsTanStack
01 / 05
A
Input
Contracts · drawings · invoices · vendor submissions · compliance files
02 / 05
B
AI Processing
OCR + LLM · classification · context-aware extraction · RAG knowledge base
03 / 05
C
Intelligence
Vendor scoring · cost comparison · risk analysis · recommendations
04 / 05
D
Workflow
RFQ flows · approval chains · exception handling · notifications
05 / 05
E
Governance
Full traceability · audit logs · reference mapping · audit-ready output
§ 06 · Capabilities
Start with one capability. Add as it earns its place.
FEED automation, validation, estimation and comparison form the core decision loop. Tender and knowledge workflows extend the same platform.
Generate01
Validate02Drawing Validation & Compliance
Apply internal and regulatory checklists to P&IDs, HVAC and layouts, with a cited verdict for every issue.
Estimate03BOM, Cost & Approvals
Extract quantities, apply project rates and issue a discipline-wise approval report.
Compare04Vendor Intelligence
Compare proposals against requirements with transparent scoring and risk flags.
Extend05RFP / RFI / Tenders
Parse scopes, generate a deliverables register and ground responses in the tender source.
Extend06Knowledge Hub
Ask project and standards questions against a controlled knowledge base with citations.
FEED automation · Digital Design Studio
From room intent to a coordinated FEED package.
The DDS module structures every requirement into a governed room book. That room-by-room source drives layouts, quantities, estimates and approval evidence. Change an attribute once and every affected output remains aligned.
Digital Design Studio
Room-based design orchestration
Design basis
01URS & process brief
02Area programme & adjacency
03Equipment & utility lists
04GMP codes & client standards
Controlled by
Source citations · revision history · engineer review
Coordinating now
Room criteria
Area · class · occupancy
Generated packageReady
Room data sheets
15–18 detailed layouts
BOM / BOQ & estimate
Approval-ready package
Design range
20–30 views
DWG / DXF handoff
The drawing set the room book produces.
Generated · reviewed · revision-tracked
P&ID schematics
HVAC airflow diagram
Pressure cascade map
Ceiling finish layout
Flooring layout
Wall panel layout
Utility point outlets
Electrical layout & SLD
Lighting & lux plan
Material movement flow
Personnel movement flow
Equipment layout / GAD
Drainage & waste routing
Gowning & airlock scheme
Instrumentation schedule
Fire & safety layout
Surveillance & access plan
Room data sheet pack
Speed
FEED in days, not months
Generate coordinated layouts from one validated design basis.
Consistency
No cross-drawing drift
A room change propagates across drawings, quantities and revisions.
Commercial
Earlier cost clarity
Bring BOM, BOQ and ballpark estimates into the FEED decision.
The integrated FEED path
A facility-wide view of every design decision.
Room data, equipment, services, quantities and compliance evidence stay connected through review and approval.
Technical feasibility
Regulatory alignment
Capital requirements
Coordinated facility modelSynchronized
01
Room design basis
URS · process brief
02
Room data sheet
Governed source
03
Primary layouts
20–30 views
04
BOQ & estimation
Quantified scope
05
Compliance
Cited verdicts
06
FEED approval
Funded decision
§ 07 · Agents
Autonomous workers, collaborating.
Flux agents read, decide and act across your operational stack — coordinating with humans at every approval boundary. Specialist agents handle ingestion, retrieval, comparison, validation and generation, all under one governance plane.
Multi-agent orchestration
Human-in-the-loop
Tool calling & MCP
Policy guardrails
Source-cited output
Replayable execution
§ 08 · Compliance
Pharma-grade by default.
Every Flux output ships with citations, lineage and an audit trail — ready for regulator review.
WHO GMPEU Annex 1FDA 21 CFR Part 11ICH Q7ASHRAENBCISO 14644GDPRSOC2-aligned
§ 09 · Specs
Enterprise essentials.
DeploymentSaaS · Private cloud · Hybrid
ModelsGPT-4o · Claude · Gemini · BYO
IngestionPDF · DWG · DXF · XLSX · DOCX · scanned
RetrievalHybrid RAG · semantic + lexical · citations
IdentitySSO · SCIM · role-based access
GovernanceG-Fence · PII redaction · audit logs
Data residencyEU · US · UAE · India · APAC
Training policyYour data never trains foundation models
§ 10 · FAQ
Frequently asked questions.
What is Flux AI?+
Flux AI is an AI operating layer for FEED process automation. It connects design inputs, governed room data, drawing generation, cited validation, cost estimation and engineer approval.
Does Flux AI replace Revit, AutoCAD or the CDE?+
No. Flux AI sits above the engineering tools teams already use. It adds a governed design basis, automation, validation and decision evidence, then returns outputs to the existing toolchain.
Is it GMP / FDA compliant?+
Yes. Flux is built pharma-grade — outputs are audit-ready, cited against your standards (WHO GMP, EU Annex 1, FDA 21 CFR, ICH Q7), with full lineage on every answer.
Can we start with one hub?+
Yes. Most customers begin with a single hub (commonly Drawing Hub or Tenders Hub) on a 30-day pilot, then expand module-by-module.
How is Flux different from a generic LLM copilot?+
Generic copilots answer from public training data. Flux is grounded in your engineering standards, drawings and project history — every output cites its source and clears your approval workflow.
Where does our data live?+
Flux can be deployed on managed cloud or your private cloud. Your prompts, drawings and project data never train third-party foundation models.
§ 11 · Next Step
Pick a document-heavy workflow. We'll show it running in 30 days.
01
Pilot
one workflow, one BU, three milestones
02
Measure
cycle time, accuracy, traceability vs baseline
03
Scale
module-by-module across the platform