Procurement Fraud Deep-Search
Ingest and analyze decades of unstructured municipal contracts using semantic deep-search to detect bidding anomalies, pricing manipulation, and hidden vendor relationships.
The Baseline
Finding anomalies in state bidding requires cross-referencing decades of disparate, unstructured municipal contracts. Human auditors cannot manually map complex relational networks or catch subtle pricing inflation buried across thousands of localized PDFs, ledgers, and disjointed procurement portals.
Y-Ray Data ingests massive state procurement databases, utilizing deep semantic search to highlight relational anomalies and unusual pricing patterns between vendors.
Uncovers hidden fraud rings and saves millions in taxpayer funds. Auditing teams shift from random sampling to targeted, AI-driven investigations backed by mathematically verifiable evidence.
Architecture Flow
Mass Ingestion
Decades of legacy municipal contracts, active vendor registries, and historical bid submissions (PDFs, scanned images, and text files) are ingested into the secure AVELIN storage layer.
Semantic Vectorization (Y-Ray Data)
Y-Ray Data processes the files locally. It extracts and vectorizes unstructured text (such as corporate addresses, signatory names, and complex pricing tables), transforming static documents into a highly relational semantic database.
Anomaly Detection & Deep-Search
An investigator queries the localized AVELIN GPT interface (e.g., "Identify all contracts where Vendor A and Vendor B bid on the same project, and highlight any alternating win patterns"). The model instantly maps the semantic relationships and flags indicators of bid rigging or market division.
Verifiable Evidence Generation
The system outputs a structured fraud assessment. Crucially, it utilizes y-ray deep-trace to strictly cite the exact contract IDs, page numbers, and specific pricing tables used to flag the anomaly, providing investigators with immediate, subpoena-ready evidence.
Core Infrastructure
| Component | Role |
|---|---|
| Y-Ray Data | Transforms decades of static, unstructured procurement archives into a unified, semantically linked database capable of mapping hidden vendor networks. |
| AVELIN GPT | Provides financial auditors and investigators with a secure, natural language interface to query complex datasets without requiring SQL or data engineering skills. |
| y-ray Deep-Trace | Guarantees investigative integrity by visibly linking every flagged anomaly directly to the verified government source document, eliminating AI hallucination in legal contexts. |
Technical Specifications
AES-256 for data at rest; TLS 1.3 for data in transit
FedRAMP High, CJIS (Criminal Justice Information Services), and strict municipal data privacy frameworks
Deploys natively inside AWS GovCloud, Azure Government, or entirely on-premise on secure agency servers
Build this architecture
Map this workflow to your internal data models. Deploy AVELIN AI to gain sovereign control over your enterprise intelligence.
Book a Call