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Progress Semaphore
Burlington, Massachusetts, USA
What it is
Progress Semaphore is a modular semantic layer for generative AI, available through API, Linux, self-hosted, web, and Windows deployments. It manages knowledge models, extracts facts, classifies structured and unstructured information, and generates semantic metadata. Listed uses include conversational agents, document question-and-answer systems, semantic enterprise search, and content generation. Semantic RAG adds enterprise data to prompts to support context-aware responses and reduce hallucinations and data biases. Business users can moderate and instruct the system, while subject matter experts maintain the knowledge models. Models and metadata help show which information and actions shaped decisions. Deployment can be on-premises, SaaS, on demand, or hybrid, with modules licensed as needed. Integrations include MarkLogic, NiFi, OpenText, SharePoint Online, Sitecore, Solr, and WAND. Pricing is on request. A 30-day trial provides a personalized cloud environment, all capabilities, guided onboarding, and use of your own data for ontology, classification, search, and RAG evaluations.
For and against
For
- Supports semantic RAG with enterprise data
- Offers on-premises, SaaS, hybrid, and on-demand deployment
- Includes ontology modeling and semantic reasoning
- 30-day trial includes guided onboarding
- Integrates with listed enterprise content systems
Against
- Pricing is available only on request
- No free plan
- Knowledge-model maintenance requires subject matter experts
- Trial is limited to 30 days
The verdict
Progress Semaphore combines semantic modeling, metadata, and retrieval for enterprise AI use cases. Its deployment choices and governance features suit organizations that need control over information and decision context.
Who it suits
Semaphore is aimed at organizations building governed generative-AI applications, enterprise search, document Q&A, or semantic data workflows. It suits teams with business users and subject matter experts able to manage knowledge models.
Plans and prices
Business
Bundled subscription service · Business solution for clients with departmental capacity requirements
Read 2 Oct 2026 · progress.com
Development
Bundled subscription service · Non-production use for demos, development, and capability evaluations
Read 2 Oct 2026 · progress.com
Enterprise
Subscription & hosting · Full capacity & enterprise scalable solution
Read 2 Oct 2026 · progress.com
On the record
- AI uses
- The AI page lists conversational agents, document Q&A systems, semantic enterprise search, and content generation as use cases.progress.com · read 2 Oct 2026
- Capabilities
- The modular platform manages knowledge models, extracts facts, classifies structured and unstructured information, and generates semantic metadata.progress.com · read 2 Oct 2026
- Deployment
- Semaphore can be deployed on-premises, as SaaS, on demand, or in a hybrid environment, and customers can license only the modules they need.progress.com · read 2 Oct 2026
- Governance
- Business users moderate and instruct Semaphore, while subject matter experts manage, develop, and maintain knowledge models.progress.com · read 2 Oct 2026
- Integrations
- Progress documentation lists integration guides for MarkLogic, NiFi, OpenText, SharePoint Online, Sitecore, Solr, and WAND.docs.progress.com · read 2 Oct 2026
- Purpose
- Semaphore provides a semantic layer for generative AI intended to support explainable, relevant, and trustworthy outcomes.progress.com · read 2 Oct 2026
- RAG
- Semantic RAG augments prompts with enterprise data to produce contextually relevant responses and reduce hallucinations and data biases.progress.com · read 2 Oct 2026
- Security and governance
- The AI page says semantic RAG adheres to enterprise standards for governance, lineage, and provenance.progress.com · read 2 Oct 2026
- Support
- Progress lists a Support Center for logging and tracking support incidents.progress.com · read 2 Oct 2026
- Transparency
- Knowledge models and metadata provide a clear picture of information used and actions taken in the decision-making process.progress.com · read 2 Oct 2026
- Trial
- The 30-day trial provides a personalized cloud environment, access to all capabilities, and guided onboarding.progress.com · read 2 Oct 2026
- Trial activities
- During the trial, users can build an ontology, improve RAG retrieval quality, classify documents, test semantic search, and validate AI use cases with their own data.progress.com · read 2 Oct 2026
