On premise Intelligence.

Built to reason, not report.

How Sentissa Thinks

How Sentissa Thinks

Knowledge and Context Layer

Knowledge and Context Layer

An enterprise knowledge graph maps entities, relationships, processes, and historical interactions. Static data becomes navigable context — available for traversal during reasoning, not reconstruction on demand.

An enterprise knowledge graph maps entities, relationships, processes, and historical interactions. Static data becomes navigable context — available for traversal during reasoning, not reconstruction on demand.

Event and Pattern Intelligence

Event and Pattern Intelligence

Anomalies, emerging risks, and behavioural shifts are detected continuously across live data. Pattern recognition runs against real-time signals — not periodic batch reports. What would otherwise require investigation surfaces automatically.

Anomalies, emerging risks, and behavioural shifts are detected continuously across live data. Pattern recognition runs against real-time signals — not periodic batch reports. What would otherwise require investigation surfaces automatically.

Business Cognition Engine

Business Cognition Engine

The core of Sentissa. Applies causal reasoning, temporal intelligence, and explainable inference to determine why events occur and what they impact downstream. Conclusions are grounded in organisational context and traceable to specific logic — not derived from statistical approximation.

The core of Sentissa. Applies causal reasoning, temporal intelligence, and explainable inference to determine why events occur and what they impact downstream. Conclusions are grounded in organisational context and traceable to specific logic — not derived from statistical approximation.

Sentissa's Five Layer Architecture

Sentissa's Five Layer Architecture

The five layers operate as a continuous reasoning system. At the foundation, the enterprise data layer consolidates signals from across the organisation into a coherent stream. The knowledge and context layer structures that stream into something richer — a living map of how the organisation works, how its entities relate, how events in one part of the business propagate through another.

It is the business cognition engine that ultimately makes the difference. Operating against this contextual foundation, it applies causal reasoning and temporal intelligence to determine not just what is happening but why — tracing cause and consequence across the knowledge graph. A distribution anomaly connected to a regional relationship pattern. A risk signal traced to an upstream operational shift. The conclusion is grounded, explainable, and specific.

What reaches the decision-maker is a reasoned determination — with a cause, a context, and where appropriate, a recommended course of action. Delivered before the question was formed.

The five layers operate as a continuous reasoning system. At the foundation, the enterprise data layer consolidates signals from across the organisation into a coherent stream. The knowledge and context layer structures that stream into something richer — a living map of how the organisation works, how its entities relate, how events in one part of the business propagate through another.

It is the business cognition engine that ultimately makes the difference. Operating against this contextual foundation, it applies causal reasoning and temporal intelligence to determine not just what is happening but why — tracing cause and consequence across the knowledge graph. A distribution anomaly connected to a regional relationship pattern. A risk signal traced to an upstream operational shift. The conclusion is grounded, explainable, and specific.

What reaches the decision-maker is a reasoned determination — with a cause, a context, and where appropriate, a recommended course of action. Delivered before the question was formed.

The five layers operate as a continuous reasoning system. At the foundation, the enterprise data layer consolidates signals from across the organisation into a coherent stream. The knowledge and context layer structures that stream into something richer — a living map of how the organisation works, how its entities relate, how events in one part of the business propagate through another.
It is the business cognition engine that ultimately makes the difference. Operating against this contextual foundation, it applies causal reasoning and temporal intelligence to determine not just what is happening but why — tracing cause and consequence across the knowledge graph. A distribution anomaly connected to a regional relationship pattern. A risk signal traced to an upstream operational shift. The conclusion is grounded, explainable, and specific.
What reaches the decision-maker is a reasoned determination — with a cause, a context, and where appropriate, a recommended course of action. Delivered before the question was formed.