GDPR-Compliant AI Solutions
Protect personal data, harness AI power - with local PII filtering
Short answer: Elasticbrains uses GLiNER as a local pre-processing layer to detect and permanently remove personal data (PII) before requests go to LLMs like GPT-4 or Claude. The AI is briefed to respond intelligently to detected PII - without re-substitution. This allows regulated industries like insurance, pharma, and legal to leverage full AI power in a GDPR-compliant manner.
The Problem: Why Many Companies Cannot Use AI
Many companies want to deploy AI solutions but face a fundamental problem: Their data contains personal information (PII) that cannot simply be transferred to US servers under GDPR.
GDPR Risk
Personal data may not be transferred to US servers without legal basis.
Industry Regulations
Pharma, finance, and insurance have strict compliance requirements.
Sensitive Documents
Contracts, claims, patient records - full of personal data.
Our Solution: Local PII Filtering + Intelligent AI Briefing
We developed an architecture that solves the problem at its root:
[EN] Input with PII
"I am John Smith from Main St. 5..."
[EN] GLiNER Filter (local)
[EN] PII detected and permanently removed
[EN] LLM (GPT/Claude)
[EN] Cleaned data + AI is briefed
The Key Difference: No Re-Substitution!
Unlike other solutions, we do not replace PII with placeholders that are re-substituted later. Instead:
- PII is permanently removed - no mapping table as risk
- The AI is briefed and responds intelligently to detected PII
- PII never appears in output - true anonymization
User: "Hello, I am John Smith from Main St. 5..."
AI: "I see you just entered personal information - it's automatically anonymized by our system, so that's working well! But let's jump right into your actual concern: How can I help you today?"
Real-World Examples from Regulated Industries
Insurance Inbox
Claims contain names, addresses, policy numbers, and license plates. GLiNER detects and removes all PII locally. The AI then categorizes and analyzes only the cleaned case facts.
Legal Document Analysis
Complaints, responses, and expert opinions are analyzed. GLiNER detects party names, case numbers, and addresses. The AI creates structured summaries - without personal data.
Voice AI / Phone Assistant
Callers mention names and customer numbers. GLiNER detects PII in real-time (Speech-to-Text → Filter → LLM). The assistant confirms anonymization and continues the conversation professionally.
Pharma & Healthcare
Patient data, study results, and medical reports are processed. GLiNER detects patient names, birth dates, and hospital IDs. AI experts can work on cleaned data.
Why This Is a True USP
Our Technology Stack
We combine various technologies into a robust data protection architecture:
- GLiNER
Open-source NER model for local PII detection. Detects names, addresses, phone numbers, emails, IBANs, and more.
- n8n Workflow Orchestration
Visual orchestration of AI pipelines. GLiNER node → LLM node → Output in a traceable workflow.
- LLM Integration (flexible)
GPT-4, Claude, Azure OpenAI, Gemini, or Mistral - the local filter enables GDPR-compliant use of any model.
- Intelligent System Prompting
The AI is briefed to handle detected PII situations professionally and continue the conversation seamlessly.
Frequently Asked Questions
Is GLiNER really 100% local?
Yes, GLiNER runs completely on your server or in your cloud environment. No data leaves your infrastructure for PII detection.
Which LLMs can I use then?
All of them! Since PII is removed before the LLM call, you can use GPT-4, Claude, Gemini, Azure OpenAI, or Mistral in a GDPR-compliant manner.
What happens with false positives?
GLiNER is optimized for precision. Additionally, industry-specific rules can be defined to minimize false detections.
How fast is the processing?
GLiNER is a lightweight model with minimal latency. PII detection typically takes only milliseconds per request.
Ready for GDPR-Compliant AI?
Let's design your AI strategy in a data protection-compliant way together.