AiNOS delivers a decision‑infrastructure platform that transforms fragmented documents, sensor streams and operational data into a living semantic ontology. The system routes each judgment either through deterministic, auditable logic or grounded LLM reasoning constrained by the ontology, producing a traceable decision record that fuels continuous risk intelligence. It is applied in life‑health insurance for explainable claims routing and in ports for operational feasibility and bottleneck analysis.
Funding
Funding not disclosed
Founders
Product
Problem
Insurance claims processing, port logistics, and other high‑stakes operations require decisions that can be explained, audited, and priced. Existing generative AI tools can generate answers but do not provide accountability or traceability, leaving organizations with unpriceable risk.
Solution
AiNOS offers a decision infrastructure that ingests heterogeneous real‑world signals—documents, sensor streams, video, and operational data—and builds a living semantic ontology of the domain. Each judgment is automatically routed: deterministic logic handles structurally known cases, while grounded large‑language‑model reasoning interprets ambiguous situations, constrained by the ontology. All decisions generate forensic traces that enrich the ontology over time, turning operational history into actionable risk intelligence. The platform thus enables auditable, repeatable decisions and continuous learning for domains such as life‑health insurance claims routing and port yard orchestration.
Target Audience
Primary customers are insurers handling life and health claims and operators of large‑scale logistics hubs such as ports that need explainable, auditable decision automation.
Features
- Domain Reality Compiler that converts documents, sensor feeds, and video into a machine‑usable semantic ontology
- Dual‑mode judgment routing that selects deterministic logic for known structures or ontology‑grounded LLM reasoning for interpretive tasks
- Unified runtime that executes both deterministic and semantic decision paths within a single environment
- Forensic evidence capture for every decision, exception, and correction, allowing the ontology to become progressively richer
- Built‑in auditability and traceability of all decisions, supporting regulatory review and risk pricing
- Application templates for life‑health insurance claim routing and port logistics yard orchestration