Clustered 2 filings across 2 jurisdictions · filing window Jul 15, 2021 → Jul 13, 2023. View entity profile → Other incidents for this victim →
incident inc_69bb0cb9a769444e · merge_method human · confidence 100%
Discovered → first regulatory filing
Gap between first leak claim and first regulatory filing
Time between earliest and latest filing
Not recorded for this incident
Discovery variance · Materiality delta · SEC filing delay — no SEC 8-K in this cluster; needs two dated filings.
Identity (basic) · Government ID
ME
Leak Site · State AG
Earliest sighting first · deep chronology in Litigation Timeline
Apr 12, 2021
When the intrusion reportedly occurred, per the linked filings
Apr 12, 2021
Reported by MAINE AG filing
BTU International, Inc. reported an external system breach that was discovered on April 12, 2021. The breach involved the acquisition of names and Social Security Numbers. A total of 10 Maine residents were affected. The company provided two years of identity theft protection services through Experian to those impacted.
Affected (this filing): 10
BTU is an Argentine company dedicated to the development and execution of engineering, construction, mounting and start-up projects, mainly in the Energy, Oil & Gas and Railway System Infrastructure sectors.We have provided integral services throughout the country for over 30 years, in public and private sector, delivering constant technical and entrepreneurial development. As a result of our expertise, we are one of Argentina’s leading engineering and highly complex construction company.
About this clustering
DisclosureLens links filings into incidents through layered matchers: deterministic rules (same source document, multistate filings of one breach, tight-window same-victim pairs), a weighted-similarity scorer for cross-source candidates, and an operator review queue for everything uncertain. Each link records its own method and confidence — shown per filing in the timeline below. The system defaults to NOT merging when uncertain, because a false merge (collapsing two unrelated breaches) is more harmful than a false split (showing related filings separately); uncertain pairs route to human review instead of auto-merging. Filing summaries shown in the timeline are AI-generated extracts — verify each against its linked source.