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Semantic Engines

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uuid002kz2y

Namestring
Semantic Engines
Legal namestring
Semantic Engines LLC
Company typeenum
Private
Founded yearint
2007
Descriptiontext

Semantic Engines LLC, founded in 2007 and headquartered in New York City, performs research and development in information search and retrieval, text mining, semantic analysis, sentiment analysis, and contextual advertising. The company has built a proprietary semantic engine that extracts key concepts from webpages, generates multi-document summaries and essays, produces concept clouds, and identifies sentiment together with the specific issues driving positive or negative reactions. It packages that engine into consumer-facing tools (SenseBot search engine and OpinionCrawl sentiment analysis tool) and three cloud-deployed APIs (Search API, Sentiment Analysis API, Contextual Ads API) supporting SOAP and REST protocols.

Underlying technical components include the SenseBot Semantic Engine (proprietary analyzer of web pages and documents), Multi-Document Summarization (blending of significant aspects from multiple sources), Sentiment Analysis with Issue Extraction, Contextual Ads Matching, and Concept Cloud Generation. The company's IP position rests on five granted US Patents (12,038,958; 11,651,039; 10,783,192; 9,218,414; 8,239,358) covering search, retrieval, and semantic analysis methods.

The business model is API-first and self-serve: customers evaluate technology through product websites (sensebot.com, opinioncrawl.com), request API documentation, sign a Trial License Agreement, and access capabilities remotely from their own applications via cloud-deployed APIs on quote-based / usage-based terms. Target segments are vertical content areas including financial news and research, competitive intelligence, and social media monitoring, with adjacent use cases in talent search, medical information, legal data, and educational materials. Operational scale signals (1-10 employees, no disclosed funding rounds, no named enterprise logos, dated product sites) suggest a small independent R&D-oriented LLC rather than a high-growth venture-backed business.

Short descriptiontext

Semantic Engines LLC, founded 2007 in New York City, develops a proprietary semantic engine for search, text mining, sentiment analysis, and contextual advertising, delivered via cloud APIs and tools (SenseBot, OpinionCrawl) for financial, competitive intelligence, and social media monitoring use cases.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
1–10
akta.pro rankint
HeadquartersBrooklyn, United States
HQ citystring
Brooklyn
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices1 record

Each record includes

City, Country, Type, Description, Source

Keyword5 values
semantic search technology, text mining solutions, sentiment analysis API, contextual advertising tools, multi-document summarization
Industry4 codes
1Search, Retrieval & Semantic Ranking (BM25/vector, hybrid)
CodeHDAAADABPrimaryYes
2Search Engines
CodeBPAMAAABPrimaryNo
3Enterprise Search, Indexing & Content Discovery
CodeHDAEAGAHPrimaryNo
4Recommendation & Discovery Engines (content/product)
CodeBPAMAAAGPrimaryNo
NAICS code3 codes
  • Web Search Portals and All Other Information Services519290
  • Software Publishers5132
  • Web Search Portals, Libraries, Archives, and Other Information Services519
SIC code2 codes
  • Services-Computer Programming, Data Processing, Etc.7370
  • Services-Computer Processing & Data Preparation7374
Product category
Semantic Search and Analysis Software
Social media profiles1 record
GTM motion2 records

Each record includes

Type, Description, Source

Revenue model2 records
1API Access and Licensing
TypeSubscription Recurring
Description

The company provides API access to their semantic search, sentiment analysis, and contextual advertising products. APIs are deployed in a cloud computing environment with virtually unlimited scaling capabilities. Documentation and trial licenses are available, suggesting a usage-based or subscription licensing model for API access.

semanticengines.com
2Cloud API Services
TypeUsage Based
Description

Cloud-deployed APIs supporting SOAP and REST protocols. Clients access semantic analysis capabilities remotely from their own applications. Revenue generated through API usage or subscription to cloud services.

semanticengines.com
Marketing channels1 record

Each record includes

Title, Type, Stage, Description, Source

Distribution channels2 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Personnel, Technology or R&D, Infrastructure, Operations, Marketing or Sales
Pricing details1 tier
1API access with cloud deployment
ModelUsage-basedBilling cadencePay-as-you-go
Notes

Quote-based pricing. API deployed in computing cloud with unlimited scaling. Documentation available upon request. UI tool available for capability exploration.

semanticengines.com
GTM typeB2B
B2B
Offering typeSoftware
Software
Core offering1 text field

Semantic Engines develops proprietary semantic search, text mining, sentiment analysis, and contextual advertising technology and exposes it through cloud-deployed APIs and self-service web products. Its flagship offerings include the SenseBot search engine, the OpinionCrawl sentiment analysis tool, and three supporting APIs (Search, Sentiment Analysis, Contextual Ads) that integrate with client applications via SOAP and REST protocols.

Differentiator
Functional benefit
Problem solved
Product overview1 text field

Semantic Engines LLC is a research and development company specializing in information search, text mining, semantic analysis, sentiment analysis, and contextual advertising. The company offers a portfolio of products including SenseBot (a next-generation search engine), OpinionCrawl (web sentiment analysis tool), and three supporting APIs (Search API, Sentiment Analysis API, and Contextual Ads API). The products work together: the Search API and Sentiment Analysis API power the SenseBot and OpinionCrawl tools, while the Contextual Ads API enables semantic-based contextual advertising. The technology is deployed in a computing cloud and targets vertical content areas including financial news, competitive intelligence, and social media.

Scale indicator1 record

Each record includes

Type, Value, Description, Source

Recent move5 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight4 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

AYLIEN offers text analysis APIs including sentiment analysis, entity extraction, and news intelligence — a direct peer to the Sentiment Analysis and Search APIs from Semantic Engines, targeting similar enterprise NLP and content-monitoring workflows.

TypeEmerging player
Description

OpenAI's GPT APIs now enable summarization, sentiment analysis, semantic search, and concept extraction via prompts and embeddings, partially overlapping with Semantic Engines' core capabilities. It is an emerging player whose general-purpose foundation models threaten specialized semantic engines on both price and quality.

TypeDirect peer
Description

Diffbot provides a suite of web-scale APIs for structured data extraction, knowledge graph construction, and semantic understanding of web pages. It is a direct peer to Semantic Engines in the API-first semantic/web-analysis space, serving similar enterprise use cases around content extraction and knowledge discovery.

TypeDirect peer
Description

MonkeyLearn provides text analysis APIs and no-code tools for sentiment analysis, topic classification, and keyword extraction. It is a direct peer in the API-driven text analytics space, addressing similar customer needs for sentiment and semantic classification.

TypeBroad incumbent
Description

Azure AI Language (formerly Text Analytics) provides sentiment analysis, key phrase extraction, entity recognition, and language detection as part of Azure's AI services. It is a broad incumbent competing with Semantic Engines in the same enterprise NLP API category.

TypeBroad incumbent
Description

IBM Watson NLU offers sentiment, emotion, entity, keyword, and concept extraction APIs as part of IBM's broader AI portfolio. It is a broad incumbent comparable to Semantic Engines, with a longer enterprise heritage and deeper integration into regulated-industry deployments.

TypeDirect peer
Description

Lexalytics provides sentiment analysis, text categorization, and entity extraction APIs deployed via cloud or on-premise. It is a direct peer in semantic/sentiment analysis services, addressing similar enterprise use cases such as brand monitoring and competitive intelligence.

TypeDirect peer
Description

Rosette by Basis Technology offers text analytics APIs including entity extraction, sentiment, and multilingual analysis. It is a direct peer in enterprise-grade NLP APIs, with comparable semantic analysis capabilities and a similar enterprise/government customer base.

TypeBroad incumbent
Description

Google Cloud Natural Language AI offers entity extraction, sentiment analysis, content classification, and syntax analysis as part of the broader Google Cloud platform. It is a broad incumbent that overlaps with Semantic Engines' core NLP capabilities, though embedded within a much wider enterprise cloud portfolio.

TypeBroad incumbent
Description

Amazon Comprehend delivers sentiment analysis, entity recognition, topic modeling, and syntax APIs tightly integrated with the AWS ecosystem. It is a broad incumbent that directly overlaps with Semantic Engines' text analytics offering while leveraging AWS's massive enterprise footprint.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat3 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Segment4 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile2 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
Yes

Docs URL, Description

AI capability4 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature5 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Semantic Engines

Semantic Search and Analysis Softwaresemanticengines.com

Semantic Engines LLC, founded 2007 in New York City, develops a proprietary semantic engine for search, text mining, sentiment analysis, and contextual advertising, delivered via cloud APIs and tools (SenseBot, OpinionCrawl) for financial, competitive intelligence, and social media monitoring use cases.

What Semantic Engines does

Semantic Engines LLC, founded in 2007 and headquartered in New York City, performs research and development in information search and retrieval, text mining, semantic analysis, sentiment analysis, and contextual advertising. The company has built a proprietary semantic engine that extracts key concepts from webpages, generates multi-document summaries and essays, produces concept clouds, and identifies sentiment together with the specific issues driving positive or negative reactions. It packages that engine into consumer-facing tools (SenseBot search engine and OpinionCrawl sentiment analysis tool) and three cloud-deployed APIs (Search API, Sentiment Analysis API, Contextual Ads API) supporting SOAP and REST protocols.

Underlying technical components include the SenseBot Semantic Engine (proprietary analyzer of web pages and documents), Multi-Document Summarization (blending of significant aspects from multiple sources), Sentiment Analysis with Issue Extraction, Contextual Ads Matching, and Concept Cloud Generation. The company's IP position rests on five granted US Patents (12,038,958; 11,651,039; 10,783,192; 9,218,414; 8,239,358) covering search, retrieval, and semantic analysis methods.

The business model is API-first and self-serve: customers evaluate technology through product websites (sensebot.com, opinioncrawl.com), request API documentation, sign a Trial License Agreement, and access capabilities remotely from their own applications via cloud-deployed APIs on quote-based / usage-based terms. Target segments are vertical content areas including financial news and research, competitive intelligence, and social media monitoring, with adjacent use cases in talent search, medical information, legal data, and educational materials. Operational scale signals (1-10 employees, no disclosed funding rounds, no named enterprise logos, dated product sites) suggest a small independent R&D-oriented LLC rather than a high-growth venture-backed business.

Semantic Engines firmographics

Firmographics
Name
Semantic Engines
Legal name
Semantic Engines LLC
Website
https://semanticengines.com
Company type
Private
Founded year
2007
Operating status
Operating
Headcount range
1–10 employees
Short description
Semantic Engines LLC, founded 2007 in New York City, develops a proprietary semantic engine for search, text mining, sentiment analysis, and contextual advertising, delivered via cloud APIs and tools (SenseBot, OpinionCrawl) for financial, competitive intelligence, and social media monitoring use cases.
Ownership category
akta.pro rank

Semantic Engines industry classification

Industry
Product category
Semantic Search and Analysis Software
NAICS
Web Search Portals and All Other Information Services (519290), Software Publishers (5132), Web Search Portals, Libraries, Archives, and Other Information Services (519)
SIC
Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Processing & Data Preparation (7374)
akta.pro primary industry
Search, Retrieval & Semantic Ranking (BM25/vector, hybrid) (HDAAADAB)
akta.pro secondary industries
Search Engines (BPAMAAAB), Enterprise Search, Indexing & Content Discovery (HDAEAGAH), Recommendation & Discovery Engines (content/product) (BPAMAAAG)

Keywords

  • Semantic search technology
  • Text mining solutions
  • Sentiment analysis API
  • Contextual advertising tools
  • Multi-document summarization

Where Semantic Engines is headquartered

Location

Headquarters

HQ city
Brooklyn
HQ country
United States
HQ region
North America

Offices1 record

Markets served

Semantic Engines business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Personnel, Technology or R&D, Infrastructure, Operations, Marketing or Sales

Revenue model

  1. API Access and Licensing: The company provides API access to their semantic search, sentiment analysis, and contextual advertising products. APIs are deployed in a cloud computing environment with virtually unlimited scaling capabilities. Documentation and trial licenses are available, suggesting a usage-based or subscription licensing model for API access.
  2. Cloud API Services: Cloud-deployed APIs supporting SOAP and REST protocols. Clients access semantic analysis capabilities remotely from their own applications. Revenue generated through API usage or subscription to cloud services.

Pricing tiers

ModelBillingPrice
Usage-basedPay-as-you-goAPI access with cloud deployment

Go-to-market motion2 records

Distribution channels2 records

Marketing channels1 record

Semantic Engines product offering

Product offering

Core offering

Semantic Engines develops proprietary semantic search, text mining, sentiment analysis, and contextual advertising technology and exposes it through cloud-deployed APIs and self-service web products. Its flagship offerings include the SenseBot search engine, the OpinionCrawl sentiment analysis tool, and three supporting APIs (Search, Sentiment Analysis, Contextual Ads) that integrate with client applications via SOAP and REST protocols.

Product overview

Semantic Engines LLC is a research and development company specializing in information search, text mining, semantic analysis, sentiment analysis, and contextual advertising. The company offers a portfolio of products including SenseBot (a next-generation search engine), OpinionCrawl (web sentiment analysis tool), and three supporting APIs (Search API, Sentiment Analysis API, and Contextual Ads API). The products work together: the Search API and Sentiment Analysis API power the SenseBot and OpinionCrawl tools, while the Contextual Ads API enables semantic-based contextual advertising. The technology is deployed in a computing cloud and targets vertical content areas including financial news, competitive intelligence, and social media.

Differentiator

Problem solved

Functional benefit

Companies that use Semantic Engines

Customer profile

Segments4 records

Ideal customer profiles2 records

Semantic Engines technology and API

Technology

Technology focussed Yes

API detail

Has API
Yes
API docs
API detail

Core technology

AI maturity

App detail

AI capability4 records

Feature5 records

Semantic Engines partnerships and signals

Strategic signal

Scale indicators1 record

Recent moves5 records

Expansion highlights4 records

Semantic Engines competitors and assessment

Company assessment

Direct peers

  • AYLIEN: AYLIEN offers text analysis APIs including sentiment analysis, entity extraction, and news intelligence — a direct peer to the Sentiment Analysis and Search APIs from Semantic Engines, targeting similar enterprise NLP and content-monitoring workflows.
  • Diffbot: Diffbot provides a suite of web-scale APIs for structured data extraction, knowledge graph construction, and semantic understanding of web pages. It is a direct peer to Semantic Engines in the API-first semantic/web-analysis space, serving similar enterprise use cases around content extraction and knowledge discovery.
  • MonkeyLearn: MonkeyLearn provides text analysis APIs and no-code tools for sentiment analysis, topic classification, and keyword extraction. It is a direct peer in the API-driven text analytics space, addressing similar customer needs for sentiment and semantic classification.
  • Lexalytics: Lexalytics provides sentiment analysis, text categorization, and entity extraction APIs deployed via cloud or on-premise. It is a direct peer in semantic/sentiment analysis services, addressing similar enterprise use cases such as brand monitoring and competitive intelligence.
  • Basis Technology (Rosette): Rosette by Basis Technology offers text analytics APIs including entity extraction, sentiment, and multilingual analysis. It is a direct peer in enterprise-grade NLP APIs, with comparable semantic analysis capabilities and a similar enterprise/government customer base.

Emerging players

  • OpenAI: OpenAI's GPT APIs now enable summarization, sentiment analysis, semantic search, and concept extraction via prompts and embeddings, partially overlapping with Semantic Engines' core capabilities. It is an emerging player whose general-purpose foundation models threaten specialized semantic engines on both price and quality.

Broad incumbents

  • Microsoft Azure Text Analytics: Azure AI Language (formerly Text Analytics) provides sentiment analysis, key phrase extraction, entity recognition, and language detection as part of Azure's AI services. It is a broad incumbent competing with Semantic Engines in the same enterprise NLP API category.
  • IBM Watson Natural Language Understanding: IBM Watson NLU offers sentiment, emotion, entity, keyword, and concept extraction APIs as part of IBM's broader AI portfolio. It is a broad incumbent comparable to Semantic Engines, with a longer enterprise heritage and deeper integration into regulated-industry deployments.
  • Google Cloud Natural Language AI: Google Cloud Natural Language AI offers entity extraction, sentiment analysis, content classification, and syntax analysis as part of the broader Google Cloud platform. It is a broad incumbent that overlaps with Semantic Engines' core NLP capabilities, though embedded within a much wider enterprise cloud portfolio.
  • Amazon Comprehend: Amazon Comprehend delivers sentiment analysis, entity recognition, topic modeling, and syntax APIs tightly integrated with the AWS ecosystem. It is a broad incumbent that directly overlaps with Semantic Engines' text analytics offering while leveraging AWS's massive enterprise footprint.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat3 records

Key risks6 records

Key highlights7 records

Customer concentration

Semantic Engines social profiles

Digital presence

Semantic Engines financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Semantic Engines leadership team

Management profile

Number of profiles

Semantic Engines funding detail

Funding detail

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Semantic Engines M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Semantic Engines

What does Semantic Engines do?

Semantic Engines develops proprietary semantic search, text mining, sentiment analysis, and contextual advertising technology and exposes it through cloud-deployed APIs and self-service web products. Its flagship offerings include the SenseBot search engine, the OpinionCrawl sentiment analysis tool, and three supporting APIs (Search, Sentiment Analysis, Contextual Ads) that integrate with client applications via SOAP and REST protocols.

Is Semantic Engines a public or private company?

Semantic Engines is a private company. It is classified as founder individual operated bootstrapped and is currently operating.

When was Semantic Engines founded?

Semantic Engines was founded in 2007. It employs 1 to 10 people.

Where is Semantic Engines based?

Semantic Engines is headquartered in Brooklyn, United States, in the North America region.

How does Semantic Engines make money?

Two revenue lines are on record. API Access and Licensing is the primary driver. The others are cloud API Services.

Who are Semantic Engines's main competitors?

Direct peers on record are AYLIEN, Diffbot, MonkeyLearn, Lexalytics and Basis Technology (Rosette). OpenAI is listed as an emerging player. Broad incumbents are Microsoft Azure Text Analytics, IBM Watson Natural Language Understanding, Google Cloud Natural Language AI and Amazon Comprehend.

Does Semantic Engines have an API?

Yes. Semantic Engines offers three APIs: Search API (SenseBot Search API), Sentiment Analysis API, and Contextual Ads API. The Search API extracts key concepts from webpages, performs search and analysis of multiple webpages, creates a concept cloud, generates multi-document summaries, and generates essays on a topic. The Sentiment Analysis API analyzes sentiment in web pages, documents, or text snippets, identifies positive/negative/neutral sentiment toward specific entities, and extracts key issues driving the sentiment. The Contextual Ads API analyzes webpages to identify the most relevant advertising category and extracts key concepts. All APIs are deployed in a computing cloud with virtually unlimited scaling capabilities. They support SOAP and REST protocols (HTTP GET or POST). API documentation is available for the Search API (SenseBot_API_Documentation.pdf) and Sentiment Analysis API (OpinionCrawl_API_Documentation.pdf). Developer documentation is at www.semanticengines.com/SenseBot_API_Documentation.pdf.

What industry is Semantic Engines in?

Semantic Engines's product category is Semantic Search and Analysis Software. Its primary akta.pro industry code is HDAAADAB, Search, Retrieval & Semantic Ranking (BM25/vector, hybrid), with a secondary code of BPAMAAAB, Search Engines. Its NAICS code is 519290 and its SIC code is 7370.

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