Semantic Engines
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.
- Company typePrivate
- Founded2007
- HeadquartersBrooklyn, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
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
Where Semantic Engines is headquartered
LocationHeadquarters
- 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
- 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.
- 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
| Model | Billing | Price |
|---|---|---|
| Usage-based | Pay-as-you-go | API access with cloud deployment |
Go-to-market motion2 records
Distribution channels2 records
Marketing channels1 record
Semantic Engines product offering
Product offeringCore 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 profileSegments4 records
Ideal customer profiles2 records
Semantic Engines technology and API
TechnologyTechnology 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 signalScale indicators1 record
Recent moves5 records
Expansion highlights4 records
Semantic Engines competitors and assessment
Company assessmentDirect 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 presenceSemantic Engines financial estimates
Financial estimateRevenue estimate
Valuation estimate
Semantic Engines leadership team
Management profileNumber of profiles
Semantic Engines funding detail
Funding detailFunding 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 investmentM&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.