Syenah’s Risk Sentinel platform provides AI‑driven, real‑time risk intelligence by ingesting millions of daily news, regulatory, NGO and social‑media sources, extracting incidents, scoring severity, and linking each insight to verifiable evidence. It leverages a knowledge graph of over 2.2 million entities and ~1 billion relationships to deliver tier‑N supply‑chain visibility, sanctions screening and natural‑language query capabilities through an interactive dashboard and API‑first integration for compliance, ESG and fraud monitoring.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations face delayed and fragmented risk information, making it difficult to detect emerging sanctions, supply‑chain disruptions, ESG incidents, and fraud in real time. Traditional risk platforms rely on manual analyst curation and static reports, leading to missed signals, high compliance costs, and limited visibility beyond first‑tier suppliers.
Solution
Syenah’s Risk Sentinel platform delivers AI‑driven, real‑time risk intelligence by ingesting over one million daily news articles, NGO reports, regulatory filings, and social‑media posts. A GenAI and graph‑analytics engine extracts incidents, assigns severity scores, and links each insight to verifiable source evidence. The platform models entities and their relationships in a knowledge graph of more than 2.2 million companies and roughly one billion edges, enabling tier‑N supply‑chain visibility and automated risk propagation. Users can query the graph in natural language, perform path‑finding between any two entities, and filter results by risk score, geography, industry, or incident type. Results are delivered via an interactive dashboard and API‑first interfaces for seamless integration into existing risk‑management workflows.
Target Audience
Primary customers are banks, asset managers, and large corporates that need continuous, granular risk monitoring across financial, ESG, and supply‑chain domains, as well as technology teams requiring API integration for automated risk workflows.
Features
- Real‑time ingestion of 1M+ daily news, NGO, regulatory, and social‑media sources with AI‑driven incident detection
- GenAI‑powered severity scoring and risk factor extraction without analyst bottlenecks
- Knowledge graph architecture (2.2 M+ entities, ~1 B relationships) supporting tier‑N supply‑chain mapping and path‑finding queries
- Natural‑language query interface that synthesizes answers across the graph with evidence‑linked provenance
- Instant sanctions screening down to Tier‑3 and deeper, with drill‑down to any tier level
- API‑first design (GraphQL/REST) for real‑time integration into risk, compliance, and ESG systems
- Interactive dashboard with filters for risk score, location, industry, and incident categories