Pinpoint unstructured data with your business and domain language
Harness your own expertise to get high-quality data for AI, LLMs, ML, RPA, BI, Research, BAU, TA, and more
Keep the Human in Command with patented Weighted Topic Scoring and Domain-Specific Language Processing you control
Curate, measure, filter, match, label, and route raw text automatically
with a solution fine-tuned to your needs
What a Chief Data Scientist Says About DataScava
“DataScava perfectly complements existing approaches to unlocking the value of unstructured text data – by helping companies to model higher-level intents and purposes behind the labeling and classification of data – by defining the abstract topics and themes that represent their own business and subject matter expertise – and by applying both to big data sets real-time.”
-Scott Spangler, Chief Data Scientist, IBM Distinguished Engineer, Master Inventor in the Watsons Innovations Group,
Author “Mining the Talk: Unlocking the Business Value in Unstructured Information”
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How It Works
DataScava works 24/7 on processing unstructured text with user-defined business logic and heuristic techniques. Context is key, and DataScava achieves it through our patented “Profile Matching of Unstructured Documents,” named after a Contour Profile Gauge carpentry tool used to model complex shapes that can’t be measured linearly.
At the heart of DataScava are three core pillars
DSTopics
Tailored Topics Taxonomies
(TTT)
DSTopics leverages TTT to define and model domain-specific features within heterogeneous text. Users can import, select, create, and edit specialized taxonomies to incorporate their business language and expertise. It ensures precise categorization, offering the customized and flexible vocabulary logic necessary for complex document processing.
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DSIndex
Domain-Specific Language Processing
(DSLP)
DSIndex applies DSLP, TTT, and WTS to focus on the language of your industry and organization, generating numeric measurements of text at the file level. Tailored for precision, it identifies user-defined jargon and integrates domain-specific expertise into the language processing pipeline, surfacing the most relevant files from even the largest datasets.
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DSMatch
Weighted Topic Scoring
(WTS)
DSMatch uses WTS to mine indexed data, categorize documents into cohesive groups, and prioritize results based on user-defined required and desired Weighted Topic Score thresholds. It delivers further refined and transparent outcomes via multi-level rank and sort of matches and topics for relevance and importance using your defined priorities.
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Unlock Your Data
Curate quality training data sets to unleash AI, optimize Machine Learning models, and power key business initiatives. Home in on the information you care about and adapt to evolving industries and needs.
DataScava’s toolset enables you to tackle unstructured data challenges with precision, allowing you to find, measure, filter, match, sort, and rank:
- Critical Business Intelligence or Research data
- Emails, inquiries, or tickets for service desks or RPA
- Chats, notes, news, reports, contracts, or transcripts
- Skills and experience for People Analytics or Talent Acquisition
Our practical, easy-to-use toolset enables you to capture the business ontologies that provide a critical bridge between unstructured data analysis using standard data science techniques and the human expertise that drives your competitive edge.
A Weighted Topic Scoring File Match
DataScava enables a more data-centric approach to business applications, with topic models that reflect the primary areas of focus, flexible topic scoring to encode your organization’s priorities, and customized text processing that mirrors the way people actually communicate in the industry.
Our sophisticated algorithm assigns weights to topics based on their importance and relevance within the domain. This advanced scoring function you control based on your interests, priorities, and intents enables you to focus on the most critical topics and discard noise, leading to better insights.
How It’s Different
DataScava fosters collaboration between technical and non-technical people, encapsulating expertise, business language, and domain knowledge for ongoing use.
Explainable and Transparent
Clear processes ensure you know what the system does and why.
DSLP-Driven, Not NLP
Finds exactly what you’re looking for, avoiding inferred or ambiguous results.
Pre-Built Editable Taxonomies
Ready-to-use for financial and IT domains, with customization options.
File-Level Analysis
Works top-down through your corpus at the file level, not the sentence level.
Numerical Metadata
Summarizes textual content in sortable, actionable formats.
Color-Coded Insights
Highlights relevant topics and key terms while filtering out irrelevant data.
