BIG Text Quantification System
Turn documents into actionable data.
Baltimore Intelligence Group Text Quantification System (BIG TQS) is a first-of-its-kind, general-purpose text quantification system designed to convert unstructured text into reliable, quantified values that feed into your data and decision-making processes.
BIG TQS supports any text input and most major document types, with hundreds of out-of-the-box signals and full score customization capabilities.
Text and Document Support
Out-of-the-box scoring available for texts and most major documents including .pdf, .docx, and .ppt.
Robust Score Library
Leverage 100+ existing scores including coherence, financial literacy, and subjectivity.
Full Customization
Rapidly adapt your existing assessment processes into reliable, rubric-based scoring systems.
- Accelerate Decision-Making Move from reading and interpreting text to having instant, quantified insights.
- Improve Consistency Apply the same scoring criteria every time, eliminating human variability in evaluation.
- Integrate Seamlessly Feed scores directly into CRM, analytics dashboards, or workflow automation tools.
Use Case: Auto-Qualifying Leads with the Intent to Buy Score
Smarter, Faster decisions with BIGTQS
A B2B software company used BIG TQS to create a custom Customer Intent to Buy score, trained on their historical sales conversations and inquiry forms. The system analyzed text from inbound website inquiries, emails, and chat transcripts, applying a rubric-based model to identify signals of purchase readiness — such as urgency, budget mentions, and decision-making language.
Scores were automatically pushed into their CRM, where leads above a certain threshold were routed directly to sales reps, while lower-scoring leads entered a nurturing sequence. The result: a 40% reduction in manual lead qualification time and faster engagement with the highest-value prospects.
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