modules
Cognitive Infrastructure Monitor
Inference performance and quality tracking. Monitors text transactions, counts token costs, isolates quality drift, and verifies retrieval accuracy.
Inference performance and quality tracking. Monitors text transactions, counts token costs, isolates quality drift, and verifies retrieval accuracy.
model-execution-auditing
Model Execution Auditing Treat generative workflows as core infrastructure components. Audit standard availability and latency metrics alongside model-specific token footprints and text quality. Track conversation sessions across multi-step systems, measure vector search relevance, flag malicious prompt injection, and audit per-session costs.
data Viz
Cognitive Specifications
- Telemetry Parameters
- Dozens of Session, Model, and Text Attributes
- Response Verification
- Hallucination, Toxicity, and Groundedness Gauges
- Provider Coverage
- Complete API and Self-Hosted Model Support
- Retrieval Accuracy
- Context Relevance and Vector Search Ranking
- Cost Auditing
- Granular Prompt, Completion, and Session Costing
- Operational Guardrails
- Malicious Input Shorter-Circuiting logs
content section
value: Our cognitive monitor maps the entire execution path of model-driven workflows, tracking prompt inputs, model completions, and billing metrics across vendors. It automatically flags structural hallucinations, measures the accuracy of context retrieval systems, and monitors validation filters to keep responses aligned.
features
guardrails: true
cost tracking: true
quality signals: 6
trace attributes: 40
Relationships
products
industries
capabilities
sub modules
use cases
- Algorithmic Cost Consolidation
- LLM Hallucination Detection
business sizes
- Enterprise
- Mid-Market
- SMB
- Startup