Progress Semaphore
Progress Semaphore provides a semantic layer for generative AI, intended to make outcomes more relevant, explainable, and trustworthy.
What Progress Semaphore is
Progress Semaphore provides a semantic layer for generative AI, intended to make outcomes more relevant, explainable, and trustworthy. Its modular platform manages knowledge models, extracts facts, classifies structured and unstructured information, and generates semantic metadata. Listed uses include conversational agents, document question-and-answer systems, enterprise semantic search, and content generation. Semantic RAG adds enterprise information to prompts to support context-aware responses and reduce hallucinations and data biases. Business users can moderate and instruct the platform, while subject matter experts maintain the knowledge models. Those models and their metadata help show what information and actions shaped decisions. Deployment can be on-premises, SaaS, on demand, or hybrid, and customers can license selected modules. Integrations include MarkLogic, NiFi, OpenText, SharePoint Online, Sitecore, Solr, and WAND. Pricing is on request, and a 30-day trial offers a personalized cloud environment, access to all capabilities, and guided onboarding. Trial activities include ontology building, document classification, semantic search testing, and validating AI use cases with company data.
Good
- Handles knowledge models, facts, and semantic metadata
- Supports conversational agents, document Q&A, and search
- Offers on-premises, SaaS, on-demand, and hybrid deployment
- 30-day trial includes guided onboarding
- Trial supports validation with users’ own data
Watch out
- No free plan is listed
- Pricing is available on request
Who it suits
It suits organizations building AI applications that need to use enterprise information with semantic context. Teams can choose deployment environments and license only the modules they need.
Verdict
Semaphore combines knowledge modeling and semantic RAG for enterprise AI uses, with multiple deployment choices. The trial provides access to its capabilities, while ongoing pricing requires a request.
Plans and prices
From Progress Semaphore's own pricing page, checked 2 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Business | Priced on request | Bundled subscription service · Business solution for clients with departmental capacity requirements |
| Development | Priced on request | Bundled subscription service · Non-production use for demos, development, and capability evaluations |
| Enterprise | Priced on request | Subscription & hosting · Full capacity & enterprise scalable solution |
The facts
Each one read from Progress Semaphore's own pages, with the date it was checked.
What it does
- AI uses
- The AI page lists conversational agents, document Q&A systems, semantic enterprise search, and content generation as use cases.checked 2 Oct 2026
- Capabilities
- The modular platform manages knowledge models, extracts facts, classifies structured and unstructured information, and generates semantic metadata.checked 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.checked 2 Oct 2026
- Governance
- Business users moderate and instruct Semaphore, while subject matter experts manage, develop, and maintain knowledge models.checked 2 Oct 2026
- Integrations
- Progress documentation lists integration guides for MarkLogic, NiFi, OpenText, SharePoint Online, Sitecore, Solr, and WAND.checked 2 Oct 2026
- Purpose
- Semaphore provides a semantic layer for generative AI intended to support explainable, relevant, and trustworthy outcomes.checked 2 Oct 2026
- RAG
- Semantic RAG augments prompts with enterprise data to produce contextually relevant responses and reduce hallucinations and data biases.checked 2 Oct 2026
- Security and governance
- The AI page says semantic RAG adheres to enterprise standards for governance, lineage, and provenance.checked 2 Oct 2026
- Support
- Progress lists a Support Center for logging and tracking support incidents.checked 2 Oct 2026
- Transparency
- Knowledge models and metadata provide a clear picture of information used and actions taken in the decision-making process.checked 2 Oct 2026
The company
- Founded
- 1981checked 28 Sep 2026
- Headquarters
- Burlington, Massachusetts, USAchecked 28 Sep 2026
Money
- Trial
- The 30-day trial provides a personalized cloud environment, access to all capabilities, and guided onboarding.checked 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.checked 2 Oct 2026
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