Private AI / Limina Alternative for LLM Redaction: Grepture

Private AI (now Limina) targets large regulated enterprises with container-based PII de-identification. Grepture is a focused AI gateway for engineering teams who want redaction in the request path, with managed SaaS or open-source self-host.

Why people look for a Private AI / Limina alternative

Private AI (now Limina) is well-engineered de-identification for regulated industries — pharma, healthcare, financial services, insurance. Teams searching for an alternative usually want one of three things Limina isn't optimized for:

  • A request-path proxy, not a container in their VPC. Limina is deployed as a container that runs in your infrastructure. Powerful, but heavyweight if your problem is just "intercept the prompts we send to OpenAI."
  • Public pricing and self-serve start. Limina is enterprise-sales-led; there's no Free tier or transparent pricing.
  • AI-gateway features beyond redaction. Limina is specialist de-identification. Grepture also gives you traffic logs, prompt management, cost tracking, evals on real traffic, and provider fallback in the same product.

If your job is "stop our application from sending PII to LLMs and get observability for free," Grepture is a better fit. If your job is "de-identify millions of patient records in our VPC for downstream training," Limina is.

Summary: Grepture as the Private AI / Limina alternative

Grepture is an open-source AI gateway. Your code points its model calls at the Grepture proxy. PII and secrets get redacted in the request, the model sees only sanitized content, and reversible tokens restore originals in the response stream. The same product gives you traffic logs, prompt versioning, and cost tracking — not just redaction.

At a glance

GrepturePrivate AI / Limina
Primary use caseAI request path redaction + AI gatewayDe-identification for training data, RAG, regulated workflows
DeploymentManaged SaaS (EU) or self-host (open source)Container in your VPC or on-prem
ArchitectureNetwork proxy (provider-agnostic)API-first container, plugs into stack (AWS, Azure, Snowflake, NeMo)
Languages coveredEnglish-first, regex + AI models52 languages
Reversible redactionNative mask-and-restorePseudonymize, synthetic substitution, generalize
Beyond redactionTraffic logs, prompt management, cost tracking, evals, fallbackDe-identification specialist
PricingPublic (Free, Pro €49/mo, Business)Contact sales
Target buyerEngineering teams shipping AI featuresRegulated enterprises with compliance budgets
Open source coreYes (proxy)No

Where Grepture is the better fit

  • You're an engineering team adding AI features and want a proxy you can deploy in an afternoon.
  • The job is the request path, not de-identifying terabytes of historical patient data.
  • You want observability, prompt management, and cost tracking in the same product, not bolted on later.
  • Public pricing and a Free tier matter for your evaluation.
  • You're shipping in English primarily.

Where Limina is still the right call

  • You're a pharma, healthcare, or financial services enterprise with compliance budget and on-prem requirements.
  • You need 52-language coverage for global operations.
  • The use case is de-identification of large data corpora for training or analytics, not just runtime redaction of live AI traffic.
  • Synthetic data generation is a core requirement.

Migration path

If you're looking at Limina for the AI request path, you can be running on Grepture the same day. Sign up at app.grepture.com, change your model base URL to the Grepture proxy, pick categories to redact, and watch the Traffic Log to verify behaviour before turning on enforcement. If you later need offline de-identification at scale, Limina and Grepture aren't mutually exclusive — different jobs, different products.

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