Runtime Trust Infrastructure for Production AI.
VeldrixAI evaluates every LLM response in under 500ms and gives you the audit trail to prove it.
from veldrixai import Veldrix @veldrix.guard(policy="default") def generate_reply(prompt: str) -> str: return llm.complete(prompt)
Five pillars. Every response.
VeldrixAI runs five parallel evaluations on every LLM response. Any pillar can trigger enforcement. All verdicts write to the audit log.
Safety · detected.
Multi-stage semantic detection with zero-shot classifiers. Catches harmful, violent, and self-harm-inducing content before it reaches your users.
Hallucination · measured.
Estimates factual confidence and flags fabricated citations. Token-level probability density maps show uncertainty in real-time.
Bias · audited.
Identifies discriminatory framing and demographic stereotyping. Every verdict writes to the immutable audit log for regulatory transparency.
Prompt injection · blocked.
Detects injection attacks, jailbreak attempts, and role-playing exploits. Dynamic RBAC policies inject context-aware guardrails at runtime.
PII · masked.
Scans for personally identifiable information using regex patterns and NER models. Detected PII is automatically redacted before logging.
Append-only. Cryptographically signed.
Every evaluation writes an immutable audit entry. SOC 2 ready out of the box — hand the log to your auditor without modification.
Real numbers. No superlatives.
Measured against our own production workload. Sub-500ms Veldrix overhead shown as the violet slice.
Simple, honest pricing.
One price, billed monthly. Start with a 14-day free trial on any paid plan — no credit card required.
Air-gapped deployment, custom policies, dedicated support: sales@veldrixai.ca