Logic Over Process. Truth Over Chaos.
Sequent Logic: Decoding the **Topological Patterns** Hiding in Plain Sight.
Turn systemic chaos into operational order. Sequent exposes why traditional rule-sets fail by mastering **Dynamic Topology** and **Temporal Logic**. Our core engine is **100% Open Source** and forever free.
The Problem with Traditional Analytics
Traditional analysis relies on imperative scripts that count events. This approach is limited: **it sees what happened, but it fails to expose why**.
You get data aggregation—a history of symptoms—but you never decode the fundamental **topological vulnerabilities** of your complex system. When the system's structure shifts, traditional analytics break.
Traditional analytics report *what* broke. Sequent Logic tells you *why* it was destined to break.
Sequent Logic: Decoding the 'Why' with Declarative Inference
Sequent Logic moves beyond simple data to deep-level operational intelligence by defining **causal relationships (Rules/Motions)** instead of programming sequential processes.
1. Decoding Topological Patterns:
Sequent's Core (Prolog-Style Inference): Sequent is a logic language. You don't program the sequence; you **define the rules**. When structured data (Facts) are ingested from the **Intelligent Knowledge Base (IKB)**, the system infers the pattern, exposing the vulnerability.
Outcome: This capability allows the Sequent Agent to ingest critical states and then infer the operational vulnerability based on your custom, declarative rules, without requiring heavy computation on raw data streams.
Imperative vs. Declarative
- Traditional (Imperative): *If* A then B then C. (Program the path.)
- Sequent (Declarative): Causal rule: *If* Condition X is met, *then* Vulnerability Y exists. (Define the relationship.)
Sequent's Smart Environment: The Intelligent Knowledge Base (IKB)
Sequent's power lies in the **Intelligent Knowledge Base (IKB)**, a graph-native structure that serves as the smart environment. The IKB is not a brute-force processor; it is a logic repository that handles complex relationships, freeing the Sequent Agent for high-value inference.
Low-Computation, High-Inference: The IKB transforms chaotic data into structured **Facts and Rules**. This means Sequent relies on minimal, critical data points (e.g., 3 key frames in a Motion analysis) and declarative path templates (Motions), not mandatory, heavy GPS streams.
IKB Function:
The IKB actively manages **Dynamic Topology** and **Temporal Logic**, storing the system (e.g., the field, the VFX pipeline) as a moving, verifiable graph of intent and risk.
*This graph-native structure is the foundation for uncovering dynamic topological failures that traditional databases simply cannot model.*
IKaaS: Intelligent Knowledge-Base as a Service
We believe the future of operational intelligence is not in data lakes or simple query engines, but in a centralized, self-aware **Knowledge Base** capable of complex inference.
IKaaS is the genre that defines this shift. It is the fusion of declarative logic, graph-native topology management, and real-time inference, offered as a single, scalable service layer.
IKaaS provides the necessary foundation for systems that require verifiable truth, not just aggregated data.
Core Value: The Open Source Commitment
The Core Engine is Free. Forever.
Our commitment is to the philosophy of verifiable truth.
- Full Declarative Rule Engine (Open Source)
- Community-driven support and documentation
- Self-managed topological analysis and rule definition
- Foundational libraries for integrating Motion Logic (Temporal Inference)