Industrial & Manufacturing

EV Factories

Validate EV production layouts, battery assembly adjacencies, and infrastructure demands for gigafactories — before construction commits capital.

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EV gigafactory production facility with battery assembly and manufacturing infrastructure

The Problem

Gigafactory errors are extraordinarily expensive to reverse

EV gigafactory planning errors — misaligned battery production adjacencies, undersized power infrastructure, or inflexible assembly line configurations — are extraordinarily expensive to correct post-construction. A production flow conflict discovered after steel is erected can cost months of schedule and hundreds of millions to resolve.

Without DBF	With DBF
Battery and assembly production flows coordinated across disconnected tools	AI generates gigafactory layouts with integrated production flow validation
High-voltage and specialist infrastructure sized by estimation	Infrastructure demands modelled from process data before construction
Safety and hazardous material zones checked late in design	Regulatory and safety zone compliance validated at feasibility
Future production flexibility assumed	Scalability scenarios tested for technology and volume upgrades

Process

How It Works

Process Mapping

Upload production flow requirements, site constraints, and operational targets. DBF maps process data to spatial parameters.

Layout Generation

The AI generates factory layout configurations scored against production flow, efficiency, and brief compliance.

Flow Validation

Every production adjacency and process relationship validated before design begins. Conflicts surface at feasibility with impact scores.

Infrastructure Sizing

Specialist utilities, high-voltage, and MEP infrastructure demands modelled from process and production data — not estimated.

Compliance Checking

Safety zoning, hazardous material areas, and regulatory requirements validated at feasibility stage, not detailed design.

BIM Handoff

Validated factory layouts, process flows, and infrastructure data export directly to BIM, eliminating manual re-entry.

Platform

Built for gigafactory-scale complexity

Every DBF capability is designed for the specific demands of EV factory planning — where battery production, assembly adjacency, and specialist infrastructure interact at gigafactory scale.

AI gigafactory layout generation
Battery and assembly adjacency analysis
High-voltage and specialist infrastructure modelling
Safety zone and hazardous material planning
Regulatory compliance integration
BIM handoff exports

Who Uses DBF

Use Cases

EV factory planning team reviewing gigafactory production layout and infrastructure requirements

EV Manufacturers

Gigafactory Project Lead

Validate gigafactory production layouts, battery assembly adjacencies, and specialist infrastructure requirements before committing to construction programmes.

Automotive OEMs

Manufacturing Planning Director

Test EV manufacturing facility configurations against production volume targets, supply chain adjacencies, and long-term platform flexibility requirements.

Battery Producers

Facility Planning Lead

Validate battery cell and pack production facility layouts against process flow requirements, safety zoning, and high-voltage infrastructure demands.

AEC Firms

Project Director

Deliver faster, more evidence-based gigafactory feasibility studies with validated production flow, infrastructure sizing, and BIM-ready outputs.

Future Vision

Planning the manufacturing facilities powering the energy transition

As EV adoption accelerates and gigafactory investment scales globally, the complexity of EV production facility planning will intensify. Technology platforms will evolve, production volumes will increase, and the infrastructure demands of battery manufacturing will grow. DBF enables faster, smarter feasibility for the manufacturing facilities powering the energy transition — giving project teams the spatial evidence to commit earlier and build better.

Future vision of a large-scale EV gigafactory campus with integrated production and logistics

EV Factories

Gigafactory errors are extraordinarily expensive to reverse

How It Works

Built for gigafactory-scale complexity

Use Cases

Planning the manufacturing facilities powering the energy transition

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