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ChatGPT vs Private AI

What You're Actually Choosing

A practical comparison for organisations that handle sensitive data. Not a product review — a decision framework.

Side-by-Side Comparison

FeatureChatGPT / OpenAIPrivate AI (Genitco)
Data residencyUS (some EU options)Your infrastructure, your jurisdiction
Model accessAPI only — OpenAI controls the modelFull model ownership — run, modify, fine-tune
GDPR complianceShared responsibility, DPA requiredYou control everything end-to-end
Cost at scalePer-token, escalates with usageFixed infrastructure cost, zero marginal per query
CustomisationSystem prompts, fine-tuning APIFull fine-tuning, QLoRA, DPO, custom architectures
Vendor lock-inHigh — model changes break your codeNone — open-source models, swap any time
Offline capabilityNone — requires internetFull offline operation possible
Audit trailLimited API logsComplete observability — every token, every decision

When ChatGPT Is Fine

  • Internal productivity on non-sensitive tasks
  • Prototyping and experimentation
  • Small teams with low volume
  • Tasks where data doesn't leave your prompt (summaries, brainstorming)
  • You don't operate in a regulated industry

When You Need Private AI

  • Regulated industries (healthcare, legal, finance)
  • Processing customer data, client files, or PII
  • Competitive advantage from proprietary, fine-tuned models
  • Cost control at 10,000+ requests per month
  • Audit requirements — you need to know exactly what the model saw
  • Offline or air-gapped environments

How Genitco Does Private AI

BYOK — Bring Your Own Keys

Your cloud account, your API keys, your models. We build it, you own it. No vendor dependency.

Open-source models

Qwen, Llama, Mistral, Phi — fine-tuned to your domain. No per-token API fees after deployment.

EU-hosted infrastructure

Self-hosted on EU infrastructure or your own data centre. GDPR-native by design, not by DPA.

Fixed-fee builds

Standard deployment: £8,000–15,000. Complex (multi-model, RAG, integrations): £15,000–25,000.

Can You Use Both?

Yes. The smart approach for most organisations: use ChatGPT for non-sensitive internal tasks (brainstorming, drafting, summaries) and private AI for anything involving customer data, regulated workflows, or competitive IP. We help you draw that line and build the infrastructure for both sides.

Discuss your AI strategy

30-minute call to map out what should be private, what can stay public, and what it costs.

Global infrastructure·Your data, never ours·AI and infrastructure you control·GDPR by design