If you think we forgot some, email me at: sserkes@valoratech.com. And, if you’d like to learn more about any of the real-world scenarios on that list, just email or call. We’d be happy to share our stories with you (to the extent we are able).
And, finally, here's a bonus cool thing: an Auto-Generated Word Cloud for the content on this page.
- Re-orient and AutoCode documents presented in "mirror writing"
- Capture the Japanese "Showa" Date off of documents
- Assess long distance spending habits by analyzing multiple years of corporate phone records
- Create metadata for (paper) documents from 1901 - 1925, including Near Dupes
- Analyze credit card receipts to determine his & hers spending habits for a high profile divorce
- Automatically determine if documents are Classified
- Identify buildings by address, building number or building name (e.g., "Trump Tower")
- Index video files, with generated stills that correspond to key phrases & topics
- Uncover an "inappropriate relationship" within standard business communications
- Identify likely missing documents from email chains, custodians and shared drives
- Code work product documents that included Valora invoices and emails in them (talk about recursive self-reference!)
- Determine which applicants were lying on their hiring application
- Translate documents to/from Japanese, German, French & English to each of the other 3 languages
- Identify bodies of water in documents
- Analyze shipping records to identify unusual purchasing behavior
- Select "best" versions from multiple reports and coverage of the same event
- Audit the results of Onshore Doc Review vs. Offshore Doc Review vs. AutoReview
- Determine what type of information was likely underneath document redactions (blackouts)
- Identify the cell phone of an NBA player
- Match 25,000 index cards with appropriate database records
- Redact out ages of minors (no redactions for 21+)
- Review documents for 162 unique "Issues"
- AutoUnitize a 300,000 page PDF into "logical" documents
- Graph potential smuggling routes based on email traffic and news reporting
- Index 30 million records in 3 months (that's over 300,000 records every 24 hours)