Insights

Targeted Industry DataScava's focus on unstructured text mining solutions positions it well to serve industries that handle large volumes of textual data such as research, finance, legal, and media sectors. These industries can benefit from high-accuracy, customizable data structuring and filtering, creating sales opportunities where tailored text analytics are critical.

Innovation and Proprietary Technology With patented deterministic methods and proprietary profile matching methodology, DataScava offers a competitive edge through transparency, precision, and domain-specific accuracy. This differentiator is attractive for organizations seeking explainable AI solutions that require compliance and auditability, opening doors to sectors with regulatory concerns.

Growth Potential Operating with a revenue range of 1 to 10 million dollars and a lean team of 2 to 10 employees, DataScava shows potential for scalable growth and partnership opportunities with larger enterprises seeking specialized text processing tools, especially in growing data-driven markets.

Customization Capabilities The company's emphasis on tailor-made vocabularies, taxonomies, and scoring models enables it to meet the unique needs of diverse clients. This customization prowess allows for tailored sales pitches to industries with complex, domain-specific language requirements, increasing conversion likelihood.

Complementary Tech Stack Utilizing widely adopted technologies such as Apache, jQuery, and open standards implies that DataScava is adaptable to integration with existing enterprise systems. This flexibility presents opportunities for upselling or bundling with larger tech solutions, appealing to clients seeking seamless implementation.

Similar companies to DataScava

DataScava Tech Stack

DataScava uses 8 technology products and services including Sucuri, Open Graph, oEmbed, and more. Explore DataScava's tech stack below.

  • Sucuri
    Content Delivery Network
  • Open Graph
    Content Management System
  • oEmbed
    Dev Tools
  • jQuery
    Javascript Libraries
  • SharpSpring
    Marketing Automation
  • HSTS
    Security
  • Contact Form 7
    Web Platform Extensions
  • Apache
    Web Servers

Media & News

DataScava's Email Address Formats

DataScava uses at least 1 format(s):
DataScava Email FormatsExamplePercentage
FLast@datascava.comJDoe@datascava.com
50%
FLast@datascava.comJDoe@datascava.com
50%

Frequently Asked Questions

Where is DataScava's headquarters located?

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DataScava's main headquarters is located at 315 Madison Avenue, Third Floor New York, NY 10017, US. The company has employees across 1 continents, including North America.

What is DataScava's official website and social media links?

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DataScava's official website is datascava.com and has social profiles on LinkedIn.

What is DataScava's NAICS code?

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DataScava's NAICS code is 5112 - Software Publishers.

How many employees does DataScava have currently?

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As of October 2025, DataScava has approximately 6 employees across 1 continents, including North America. Key team members include Ceo/Cofounder: J. D.Cofounder/Inventor | Unstructured Data Mining| | .Net Architect / Developer: J. H.Board Member: A. M.. Explore DataScava's employee directory with LeadIQ.

What industry does DataScava belong to?

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DataScava operates in the Software Development industry.

What technology does DataScava use?

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DataScava's tech stack includes SucuriOpen GraphoEmbedjQuerySharpSpringHSTSContact Form 7Apache.

What is DataScava's email format?

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DataScava's email format typically follows the pattern of FLast@datascava.com. Find more DataScava email formats with LeadIQ.

When was DataScava founded?

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DataScava was founded in 2016.

DataScava

Software DevelopmentUnited States2-10 Employees

DataScava is an advanced unstructured text 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 and 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:

DSLP | Domain-Specific Language Processing – Structures and measures user-defined key terms exactly, with no disambiguation

TTT | Tailored Topics Taxonomies – Import, build, or select vocabularies and data types that reflect your expertise

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 expertise

Section iconCompany Overview

Headquarters
315 Madison Avenue, Third Floor New York, NY 10017, US
NAICS Code
5112 - Software Publishers
Founded
2016
Employees
2-10

Section iconMedia & News

Section iconFunding & Financials

  • $1M$10M

    DataScava's revenue is estimated to be in the range of $1M$10M

Section iconFunding & Financials

  • $1M$10M

    DataScava's revenue is estimated to be in the range of $1M$10M

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