Ship AI applications that are safe, reliable, and compliant. We build production guardrails for LLM-powered systems, covering hallucination detection, prompt injection prevention, PII protection, content filtering, and compliance enforcement. Stop worrying about what your AI might say or do.
Proof-First Delivery
What We Offer
Each module is designed as a production block with integration boundaries, governance hooks, and measurable outcomes.
Detect and prevent AI hallucinations using retrieval grounding, citation verification, confidence scoring, and factual consistency checks. Ensure your AI only states what it can verify from authoritative sources.
Defend against prompt injection, jailbreaking, and adversarial inputs. Multi-layer detection with input sanitization, intent classification, and boundary enforcement that blocks manipulation attempts before they reach your LLM.
Automatic PII detection and redaction in both inputs and outputs. Named entity recognition for emails, phone numbers, addresses, SSNs, and custom sensitive fields. Data never reaches the LLM in plaintext.
Custom content filters aligned with your brand guidelines and regulatory requirements. Topic boundary enforcement, toxicity detection, bias mitigation, and off-topic rejection — your AI stays within defined boundaries.
Structured output validation ensuring AI responses conform to expected formats, data types, and business rules. JSON schema enforcement, response length controls, and semantic consistency checks.
Real-time dashboards tracking guardrail triggers, output quality scores, latency metrics, cost per query, and safety violations. Alerting for anomalous patterns and automated incident response.
Delivery Proof
Selected engagements that show architecture depth, execution quality, and measurable business impact.
Delivery Advantages
Detect and prevent AI hallucinations using retrieval grounding, citation verification, confidence scoring, and factual consistency checks. Ensure your AI only states what it can verify from authoritative sources.
Defend against prompt injection, jailbreaking, and adversarial inputs. Multi-layer detection with input sanitization, intent classification, and boundary enforcement that blocks manipulation attempts before they reach your LLM.
Automatic PII detection and redaction in both inputs and outputs. Named entity recognition for emails, phone numbers, addresses, SSNs, and custom sensitive fields. Data never reaches the LLM in plaintext.
Custom content filters aligned with your brand guidelines and regulatory requirements. Topic boundary enforcement, toxicity detection, bias mitigation, and off-topic rejection — your AI stays within defined boundaries.
FAQ
Tell us about your AI application — we'll design a guardrail architecture that protects your users, your brand, and your compliance posture without compromising performance.