Company profile
DataScava
DataScava is an unstructured text data miner built on patented deterministic methods that keep the Human in Command.
- Industry
- Information Services
- Employees
- 4
- Headquarters
- New York, NY
- Founded
- 2018
- LinkedIn followers
- 78
- Office locations
- 1
DataScava company summary
DataScava is a company in the Information Services industry, headquartered in New York, NY, founded in 2018. On LinkedIn the company has around 4 employees and 78 followers. Its listed specialties include #TextMining #UnstructuredData, #DeterministicMethods, #Explainable Scoring, #DomainSpecificLanguage Processing, #WeightedTopicScoring.
What technology does DataScava use?
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About DataScava
DataScava is an advanced unstructured text data mining solution that pinpoints high-quality data with user-controlled business and domain language. It evolved from TalentBrowser, where we patented deterministic methods to structure, measure, filter, and curate nonlinear content — without requiring training data or manual labeling. By enabling you to harness your expertise — working standalone or alongside other solutions — DataScava helps you: * Structure, measure, filter, match, route, sort, and rank raw text automatically * Feed explainable, auditable outputs into AI, LLMs, ML, RPA, BI, Research, TA, and BAU applications * Create domain-specific data pipelines upstream, audit & measure results downstream * Get structured, high-quality datasets and outputs you can act on Stay in control with results you can see, refine, and trust How It Works: DataScava applies three complementary methodologies that focus on your business language and expertise, not generic language models: DSIndex | DSLP | Domain-Specific Language Processing – Structures and measures user-defined key terms exactly, with no disambiguation DSTopics | TTT | Tailored Topics Taxonomies – Import, build, or select vocabularies and data types that reflect your expertise DSMatch | WTS | Weighted Topic Scoring – Prioritize outcomes with transparent, explainable scoring that reflects your rules and thresholds Together, they form a patented approach we call “Profile Matching of Unstructured Documents” — modeled after a contour profile gauge carpentry tool, because DataScava measures language based on your priorities. The DataScava Difference: Less time, more accuracy – Filters and categorizes automatically Precision at scale – Numeric results you can trust across industries Transparency over black-box AI – See and audit exactly why a file matched Scalable and domain-specific – Refine vocabularies, taxonomies, and scoring. Human in Command – Automation works alongside your own expertise.
Specialties
Where is DataScava located?
DataScava lists 1 location.
Compare companies similar to DataScava
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|---|---|---|---|---|
DataScava datascava.com | Information Services | 4 | 2018 | New York, NY |
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Frequently asked questions about DataScava
What does DataScava do?
DataScava is an advanced unstructured text data mining solution that pinpoints high-quality data with user-controlled business and domain language. It evolved from TalentBrowser, where we patented deterministic methods to structure, measure, filter, and curate nonlinear content — without requiring training data or manual labeling. By enabling you to harness your expertise — working standalone or alongside other solutions — DataScava helps you: * Structure, measure, filter, match, route, sort, and rank raw text automatically * Feed explainable, auditable outputs into AI, LLMs, ML, RPA, BI, Research, TA, and BAU applications * Create domain-specific data pipelines upstream, audit & measure results downstream * Get structured, high-quality datasets and outputs you can act on Stay in control with results you can see, refine, and trust How It Works: DataScava applies three complementary methodologies that focus on your business language and expertise, not generic language models: DSIndex | DSLP | Domain-Specific Language Processing – Structures and measures user-defined key terms exactly, with no disambiguation DSTopics | TTT | Tailored Topics Taxonomies – Import, build, or select vocabularies and data types that reflect your expertise DSMatch | WTS | Weighted Topic Scoring – Prioritize outcomes with transparent, explainable scoring that reflects your rules and thresholds Together, they form a patented approach we call “Profile Matching of Unstructured Documents” — modeled after a contour profile gauge carpentry tool, because DataScava measures language based on your priorities. The DataScava Difference: Less time, more accuracy – Filters and categorizes automatically Precision at scale – Numeric results you can trust across industries Transparency over black-box AI – See and audit exactly why a file matched Scalable and domain-specific – Refine vocabularies, taxonomies, and scoring. Human in Command – Automation works alongside your own expertise.
How many employees does DataScava have?
DataScava has around 4 employees on LinkedIn.
Where is DataScava headquartered?
DataScava is headquartered in New York, NY.
When was DataScava founded?
DataScava was founded in 2018.
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