Policy + rules you control. Agentic enforcement. Differential privacy for formal guarantees.
Go hard on policy. Go hard on guarantees. Alpine gives you both.
Choose a document-type constitution from 104+ options (learned ahead of time) — then add custom rules. Alpine enforces both with agentic checks + audit logs. Most common domains: legal, healthcare, finance.
Alpine is built on differential privacy research. Not vibes. Not heuristics. Formal guarantees—engineered for production latency.
The world’s foremost PII removal stack—driven by differential privacy, and expanded with agentic constitutional learning.
RAG, ICL, agents—Alpine is the privacy layer, not a rewrite.
Run retrieval + in-context learning on sensitive documents with policy enforcement.
docs → sanitize → embed/retrieve → sanitize → LLM
Enforce rules across multi-step plans, tool calls, and outputs.
agent → policy checks → sanitize → model/tool
Get DP at inference time—no DP-SGD, no retraining, no model constraints.
private ctx + redacted ctx → fuse → DP output
Policies stay enforced even when prompts try to override them.
Let documents inform outputs without letting identifiers leak through.
Not a checkbox section—controls are part of the system design.
PHI detection and sanitization. Audit logs and retention controls.
Data minimization by design. Clear provenance and erasure workflows.
Security and confidentiality controls with auditable operational practices.