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

#TextMining #UnstructuredData#DeterministicMethods#Explainable Scoring#DomainSpecificLanguage Processing#WeightedTopicScoringTailoredTopicsTaxonomies#Matching#DSLP#WTS#TTT

Where is DataScava located?

DataScava lists 1 location.

New York, NY, USHQ
315 Madison Avenue

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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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