System Calibration v2.0.4

Establish your boundaries before we begin.

01

Data Handling Protocol

We require explicit instruction on how to process your inputs. Your choice determines encryption levels and retention policies.

Verification
SOC 2 Type II Compliant

Encryption Standard

AES-256 GCM

End-to-end encryption for all data in transit and at rest.

Model Training

Disabled

Your inputs are never used to train or improve our foundational models.

View Architecture Diagram
Client TLS 1.3 Tunnel Inference Engine

Data packets are ephemeral. Upon session termination, keys are destroyed, rendering any residual fragments mathematically unrecoverable.

02

Operational Confidence

The model operates probabilistically, not deterministically. Select your tolerance for creative variance versus factual rigidity.

Model Performance Matrix
Factual Accuracy Rate 94.2%

Based on MMLU benchmark (Massive Multitask Language Understanding).

Known Limitation Example

Q: "Who won the 2024 Global Chess Championship?"
A: "I cannot answer this. My knowledge cutoff is January 2024."
Hallucination Rate ~2.1%
Citation Capability High
03

Safety Guardrails

Define the boundaries for sensitive content generation. This ensures the model aligns with your organizational values.

Guardrail System Active

Pulls from Validated Sources

Prioritizes academic and enterprise-grade datasets over general web crawl.

Restricted Categories

Hate Speech Self-Harm PII Leaks

Transparency Report

Last audit: 12 hours ago
View Full Safety Log →

Selections can be modified later in System Settings.