1
Massive Data Production
Firms generate terabytes of drawings, reports, and calculations across projects.
The Exchange That Connects the World's Engineering Data
Transform dormant project archives into valuable datasets. Easily search for the datasets you need to power your research.
Built by Ferris - end-to-end data intelligence and automation for the AEC industry
AEC’s Hidden Opportunity Cost
1
Massive Data Production
Firms generate terabytes of drawings, reports, and calculations across projects.
Drawings
DWG · DXF · PDF
Calculations
PDF · XLSX
Reports
PDF · DOCX
Models
RVT · IFC
Submittals
PDF
Field Data
Photos · Logs
Incoming engineering data
Generated across every project
2
Zero Reuse
Most of it gets archived — never reused, monetized, or made discoverable.
Archives
Project A
LOCKED
Last accessed: never
Project B
LOCKED
Last accessed: never
Most data ends up archived after delivery — unused, undiscoverable, and never compounding into future work.
3
Industry-Wide Data Shortage
Meanwhile, researchers and builders can’t get trustworthy datasets.
Dataset search
Plenty exists — most can’t be reached
Results: limited
Search
bridge pier as-built drawings + load rating calculations
No results found
Most datasets are private, fragmented, or permissioned.
Plenty of data exists — most of it is inaccessible to the people who need it.
High demand, low access
2
Zero Reuse
Most of it gets archived — never reused, monetized, or made discoverable.
3
Industry-Wide Data Shortage
Meanwhile, researchers and builders can’t get trustworthy datasets.
Live visual
Step 1 / 3
Drawings
DWG · DXF · PDF
Calculations
PDF · XLSX
Reports
PDF · DOCX
Models
RVT · IFC
Submittals
PDF
Field Data
Photos · Logs
Incoming engineering data
Generated across every project
Massive Data Production: Firms generate terabytes of drawings, reports, and calculations across projects.
Ferris Data Exchange (FDX)
Turn dormant engineering archives into governed datasets.
FDX is a secure, enterprise-grade exchange for engineering data — built for publishing, governance, and discovery without sacrificing ownership or control.
Organizations that produce engineering data can publish, govern, and license it. Downstream users can discover, access, and use real-world datasets for analysis, modeling, and product development.
FDX bridges the gap between unstructured engineering archives and the teams that need trustworthy, high-quality data — with built-in governance and auditability.
Secure. Governed. Built for real AEC data.
DrawingsCalculationsReportsModelsSubmittalsField Data
Data exchange
enterprise-grade
Data providers
Publish selected datasets with governance.
Data consumers
access
access
access
Discover and license real-world datasets.
Secure by default
Enterprise-grade controls for sensitive engineering data.
Ownership preserved
Publish what you want, keep the rest private — always.
Discoverable datasets
Make real-world engineering data searchable and usable.
Licensing & governance
Define terms, permissions, and audit trails per dataset.
The result
Engineering data becomes a governed asset: discoverable, permissioned, and licensable — without exposing what shouldn’t be shared.
Replace the broken workflow.
For
Data providers
Turn archives into governed datasets
Old way→FDX way
OLD
Months converting raw files into usable formats
→becomes
FDX
Upload raw data → FDX structures it into datasets
OLD
Weeks manually anonymizing sensitive details
→becomes
FDX
Automatic anonymization + policy controls
OLD
Manual dataset profiles for discoverability
→becomes
FDX
Profiles generated instantly from the contents
Outcome
A predictable pipeline: publish → govern → discover → access.
For
Data consumers
Find exactly what you need, not a bundle
Old way→FDX way
OLD
Hundreds of keywords to find the right data
→becomes
FDX
Natural language search across governed datasets
OLD
Paying for datasets full of irrelevant files
→becomes
FDX
Right-sized datasets aligned to your requirements
Outcome
A predictable pipeline: publish → govern → discover → access.
Early access
Join the FDX waitlist
Tell us what you’re looking for — we’ll reach out when we’re ready to onboard.
What happens next
Quick follow-up
We’ll reply with a few questions to understand your use case.
Best-fit onboarding
We prioritize teams with real archives and real needs.
Tip
Mention whether you’re a data provider or data consumer — and what kind of datasets you need (or have).