Interos provides an AI‑driven platform that continuously aggregates public and proprietary data to build a dynamic graph of multi‑tier supplier networks. The solution scores each node for risk exposure, delivers real‑time alerts, and offers scenario‑planning tools that integrate via APIs with ERP, procurement and GRC systems, enabling enterprises to anticipate and mitigate supply‑chain disruptions.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises lack real‑time visibility into deep, multi‑tier supplier networks, making it difficult to anticipate disruptions caused by geopolitical events, financial instability, or cyber incidents. This opacity leads to operational downtime, increased compliance risk, and costly reactive mitigation.
Solution
Interos delivers an AI‑driven platform that continuously ingests public and proprietary data—such as trade filings, sanctions lists, financial statements, and cyber‑threat intel—to construct a dynamic graph of every tier in a company’s supply chain. Machine‑learning models score each node for risk exposure and generate near real‑time alerts when emerging threats are detected. Users access automated notifications, scenario simulations, and compliance reporting through a web dashboard and can integrate the data via APIs with ERP, procurement, and GRC systems. The solution enables procurement, risk, and continuity teams to drill down from aggregate risk heatmaps to individual supplier profiles, view historical trend analytics, and prioritize mitigation actions before disruptions occur.
Target Audience
Primary customers are large enterprises’ procurement, supply‑chain risk, and compliance teams that need continuous, data‑driven visibility across multi‑tier supplier networks.
Features
- Continuous data ingestion pipeline aggregating >200 global feeds (customs, sanctions, financial filings, dark‑web monitoring) via REST and streaming APIs
- Graph database engine modeling multi‑tier supplier relationships with real‑time traversal queries for impact analysis
- Proprietary risk scoring algorithms combining natural‑language processing, anomaly detection, and credit‑risk models to produce a normalized risk index per entity
- Configurable alert engine delivering notifications through email, Slack, and webhook integrations
- Scenario‑planning module that simulates node failures or regulatory changes and quantifies downstream exposure using Monte‑Carlo simulations
- RESTful and GraphQL APIs for seamless integration with ERP (SAP, Oracle), procurement, and GRC platforms, supporting CSV, JSON, and XBRL exports
- Compliance reporting templates aligned with ISO 28000, CTPAT, and ESG disclosure standards, auto‑populated with audit‑ready evidence
- Role‑based access control and end‑to‑end encryption meeting ISO 27001 and SOC 2 requirements