AI-driven edge monitors that reside within your organization's technical and operational streams, replacing traditional reporting with real-time, predictive signaling.

Lighthouses use Large Language Models to understand the context of anomalies, delivering predictive intelligence rather than reactive alerts.
LLMs understand the context of anomalies, not just threshold breaches. A surge in refactoring tickets combined with a dip in test coverage signals stability risk.
Scans unstructured and structured data sources including code repositories, customer tickets, financial transactions, and supply chain telemetry.
Relevance scoring based on strategic impact and urgency ensures BPM Control Towers are not overwhelmed by noise.
Replaces traditional lagging reporting with real-time predictive signals that anticipate issues before they materialize.
Each signal is assigned a relevance score based on strategic impact and urgency, ensuring only critical signals reach the BPM Control Towers.
Rs = f(I, U)
Rs
Relevance Score
I
Strategic Impact
U
Urgency Factor
Signals exceeding the threshold are automatically escalated to the relevant BPM Control Tower.
Each industry receives purpose-built lighthouse modules tuned to its unique signal patterns and domain language.
Clinical Trial & R&D
Predicting trial efficacy by analyzing real-time molecular screening and patient data.
Fraud & Compliance
Identifying suspicious transaction patterns through behavioral and network analysis agents.
Site Reliability & DevEx
Monitoring technical debt and SRE metrics to predict project delays and quality degradation.
OT/IT Convergence
Correlating 5G-connected machine telemetry with supply chain demand to optimize production.