Industries · Manufacturing & technology R&D
Put AI to work on your IP without giving it away.
An R&D organisation's value is its intellectual property — designs, processes, results, and know-how. A cloud AI tool that could help analyse them would first have to receive them, and many such tools retain what they receive. Air-gapped AI keeps the work inside the business.
The specific risk
A trade secret survives only as long as it stays secret.
An engineer uploads a design specification to a cloud AI tool to check it against standards. That specification — the product of years of work — is now held by a third party that may retain it and use it to train future models. The secrecy that gave it value is gone in a single step.
The analysis itself is worth doing, and AI does it well. The exposure is the cost, and it need not be paid. Run the model on your own hardware and the same checks happen with the specification never leaving the building.
Relevant solutions
Capabilities that fit an R&D environment.
Private knowledge base
Search decades of technical reports and specifications without exposing a single file.
Learn more → LEARNCustom LLM fine-tuning
Train a model on your engineering language and standards, fully offline.
Learn more → STRUCTURELegacy data extraction
Turn decades of test results and drawings into structured, searchable data.
Learn more →What is at stake
The protections an AI tool must not undermine.
Trade secrets
A trade secret is protected only while it stays secret. Sending designs, processes, or formulations to a cloud AI service is a disclosure to a third party — and can weaken the protection itself. On-premise processing keeps the secret inside the business.
Intellectual property
Patentable inventions and proprietary methods lose value the moment they leave your control. Cloud AI tools may retain inputs and use them to train future models. Keeping the work on your own hardware keeps the IP yours.
Export controls
Some technical data is subject to UK strategic export controls and equivalent regimes. Transmitting it to servers in another jurisdiction can itself be a controlled transfer. An air-gapped system avoids that transfer entirely.
Customer and partner confidentiality
R&D work often sits under non-disclosure agreements with customers and partners. A cloud tool that ingests that material can put you in breach. On-premise processing keeps you inside the terms you signed.
A realistic deployment
Anonymised · illustrative
A technology manufacturer holds decades of test reports, drawings, and specifications. Engineers waste hours hunting for prior results, but the material is too sensitive — and in places too export-controlled — to place in any cloud service.
Electric Azimuth stands up a private knowledge base on the manufacturer's own hardware, indexing the archive in place. Engineers ask questions and get cited answers drawn only from internal documents, with nothing leaving the network. The same system later supports fine-tuning a model on the company's engineering language and structuring the legacy archive.
Use AI on your most valuable material, safely.
Book a feasibility call, or request a briefing on keeping IP and export-controlled data inside your own infrastructure.