Privacy-First AI
AI THAT NEVER SEES
YOUR SENSITIVE DATA.
Regulated businesses use our privacy-first AI to automate document-heavy work — with real-time PII redaction, EU or on-premise processing, and an audit trail your compliance officer will actually like.
What privacy-first AI actually means
Privacy-first AI processes your data without exposing it. Personal identifiers are stripped out before a request ever reaches a model, the computation runs in the EU or on hardware you control, and every step is logged so you can show a regulator exactly what happened to what.
The difference from ordinary "secure AI" is architectural, not contractual. Most vendors handle privacy with a promise: we won't train on your data. That promise is worth exactly what the contract behind it is worth, and it does nothing about the copy sitting on someone else's server. In a privacy-first system the model never receives the identifying data at all. There is nothing to leak, nothing to subpoena, nothing to retain.
For a law firm that is the difference between a policy telling associates not to paste client matter into a public chatbot, and a system where pasting it is simply safe. For an accounting practice it's the difference between banning AI during month-end close and using it. The firms that sort out the privacy question first are the ones that end up automating anything at all.
We build these systems on anonLLM, our redaction layer, running in front of whichever model fits the task. The same architecture underneath privacy-first conversational AI for client-facing work and GDPR-compliant AI automation for the back office.
Is privacy-first AI the same as GDPR-compliant AI?
Related, not identical. GDPR compliance is a legal standard you can meet in several ways, including with contracts and processing agreements. Privacy-first is one way of meeting it: build the system so the sensitive data never travels, and most of the compliance argument answers itself. It also covers obligations GDPR doesn't touch, like legal professional privilege or medical confidentiality under German §203.
Does a privacy-first setup mean worse AI?
No, because the model doesn't need the names. Redaction removes identifiers and leaves the structure, meaning, and context a model actually reasons over. A contract reads the same to an LLM whether the party is "Müller GmbH" or "Party A". You lose the personal data and keep the work.
Your team already uses AI. The question is where your data goes.
Lawyers paste contracts into chatbots. Accountants upload client statements. Staff mean well — but every prompt that leaves your network is a compliance incident waiting to be discovered. Banning AI doesn't work either: you lose the productivity and people use it anyway, just quietly.
The shadow-AI problem
Employees use public AI tools with client data because the tools help. Policy bans don't stop it — they just hide it.
The regulator problem
GDPR, professional privilege, and sector rules demand you know exactly what data was processed, where, and by whom. Public AI tools can't answer that.
The productivity problem
The firms that solve privacy first automate intake, documents, deadlines, and reporting — and pull 6–13 hours per person per week back from admin.
How privacy-first works
One privacy layer between your people and any AI model. Four things it enforces.
Real-Time PII Redaction
40+ types of sensitive data — names, IDs, account numbers, medical and financial details — are detected and replaced with safe placeholders before any model sees the text.
EU or On-Premise Processing
Your data is processed inside the EU, or never leaves your own servers at all. You choose the boundary; the architecture enforces it.
Complete Audit Trail
Every message, redaction event, and data flow is logged. When the auditor asks what happened to a record, the answer is one query away.
Four specialist agents, each on a need-to-know basis
Classification, extraction, drafting, and review run as separate specialized agents — each sees only what its task requires.
This layer also exists as a product: anonLLM strips every identifier before a prompt reaches any model — the same privacy-first AI platform, as infrastructure. Meet anonLLM →
Built on proven tools. Integrated into yours.
We don't sell a platform. We integrate AI into the stack you already run — and pick the newest model that fits each task.
Microsoft Presidio — open source
PII detection, redaction, and anonymization across text, images, and structured data. Open-source and auditable — your compliance team can read every line of code that touches your data. Runs inside your boundary: EU cloud or your own servers.
Microsoft Foundry · AWS Bedrock · Private LLMs
Microsoft shop? We deploy through Microsoft Foundry. Everyone else gets AWS Bedrock with EU data residency — or fully private models on your own hardware. Always the latest frontier models, chosen per task, no lock-in.
n8n — self-hosted
The workflow engine that connects email, calendar, spreadsheets, document folders, and your project management system behind the privacy layer. Self-hostable, EU-friendly, no per-seat lock-in.
Claude · OpenAI Codex · specialist apps
Agentic AI for knowledge and engineering work, plus best-in-class specialist tools — like Higgsfield for visual content — where a project calls for them. The subscriptions you already pay for become part of the system.
Your stack decides. We integrate — we don't migrate.
From audit to daily operation
1. Audit
We map your back office: where hours leak, which data is sensitive, what your regulator expects. You get a build plan with a value attached to every workflow.
2. Connect
We plug into the tools you already use — email, calendar, Excel, PDF folders, your project management system. Nothing new to learn, nothing to migrate.
3. Orchestrate
Workflows run through the privacy layer: intake gets triaged, documents get processed, drafts land in your templates. People approve; the system does the typing.
4. Report
Reporting runs itself — daily operations brief, weekly status, monthly management report, quarterly compliance review. Generated from live data, on schedule.
Ask your archive a question.
Thousands of processed documents become something your team can question in plain language: "Which client files are missing for the March close?" — "Which contracts renew this quarter?" The answer comes from your data, with sources, without your data ever leaving your control.
Privacy-First AI, By Use Case
The same privacy layer, wherever your team touches AI.
Privacy-first conversational AI
Chatbots and assistants that answer from your documents without exposing them. Client names and case details are redacted before any model responds — the pattern behind our privacy-first chatbot deployments in healthcare and legal.
A privacy-first AI assistant for daily work
Email drafts, summaries, and research inside your workspace — a private alternative to pasting sensitive text into public chatbots. The productivity of ChatGPT, without your data leaving your boundary.
GDPR-compliant AI analytics
Question thousands of processed documents in plain language and get sourced answers — with personal data redacted at ingestion, EU or on-premise processing, and a log for your DPO.
Privacy-first AI infrastructure & APIs
For teams building their own tools: the redaction layer as infrastructure, in front of any model API. Productized as anonLLM — every identifier stripped before a prompt leaves your walls.
Want to see redaction in action? Our free Expose Nothing Chrome extension scans any page for personal data before you paste it into an AI tool.
Built with regulated businesses
Drawn from our confidential engagements — composites of real projects, no client named.
Privilege-safe automation for legal practice
Intake with conflict screening, contract analysis, deadline orchestration, and template-based drafting — privilege protected at every step.
Read the law firm deep-dive → Accounting & Tax AdvisoryMonth-end close without the email ping-pong
Automated document collection, reconciliation with exception flagging, filing-deadline orchestration, and review-ready report templates.
Read the accounting deep-dive → HealthcarePatient-safe AI for clinical back offices
Intake triage, document processing, and compliance reporting — patient data redacted before any model is involved.
Read the healthcare deep-dive →How we engage
AI Audit — €599
A mapped back office, an hourly value on every leak, and a privacy-first build plan you could hand to anyone. Ours just happens to be ready to start.
Build — 2–6 weeks
From plan to production: privacy layer, workflows, templates, and training. Prototype in 15 days.
Operate — ongoing
We run, monitor, and evolve your automations. Your invisible AI ops team — always running, always improving.
Privacy-first AI, briefly
What does "privacy-first AI" actually mean?
Is this GDPR-compliant?
Which tools does it connect to?
What does it cost to start?
Ready for AI your compliance officer approves of?
Book a 30-minute call. We'll map where your team loses hours to admin and show you what privacy-first automation would retire first.
Book a Call