Privacy-preserving document extraction for resource-constrained SMEs

The problem

Small businesses need to automate extraction from sensitive documents, but commercial LLM APIs create GDPR, retention, and data-processing concerns, while local models require more RAM and hardware than many older office PCs provide. Existing options force a tradeoff between privacy, accuracy, cost, and deployment simplicity.

Who feels this pain

People worried about breaches, weak passwords, or leaked data run into this often: A managed document-processing platform that accepts uploads through a GDPR-compliant interface, locally redacts or pseudonymises personally identifiable information where possible, routes documents to the most appropriate OCR or extraction model, and returns structured data. It could offer UK/EU hosting, clear DPA and retention controls, optional zero-retention processing, lightweight client-side preprocessing, and private self-hosted deployment for sensitive customers.

Why it matters

A single security lapse can cost a business its reputation and its customers' trust.

Potential SaaS angle

A focused SaaS product built by closing an obvious security gap before it becomes an incident could turn this into a real security & privacy opportunity — there's already demand behind it.

Related security & privacy pain points