Semafind
Features
- Custom AI, machine learning and data science engineering for enterprises
- Private cloud platform to store, share and semantically search internal company data
- Semantic knowledge graphs and reverse dictionaries for corporate terminology
- SemaDB, an open-source multi-vector hybrid search engine with a JSON RESTful API
- Bespoke tools such as visual spare parts identification, CV matching and anomaly detection
- Three-step consulting process: ideation, prototyping and infrastructure integration
Pricing Details
💰 Pricing Model Item Details: Enterprise Consulting & Custom SaaS Software. General Concept: Because their core operations focus on tailored AI engineering partnerships, custom application building, and enterprise-level internal installations, pricing is entirely bespoke and depends on the project's scope. The companion engine, SemaDB, is open-source. 🆓 Free Options & Open Source Feature: Open-Source Software and Strategy Consultations. Details: Teams can book a complimentary initial technology and ideation consultation through the web layout.Additionally, developers can access and run the underlying SemaDB vector engine framework via public source repositories entirely for free. Cost: Free introductory and open-source tracks. 💳 Paid Enterprise Engagement Semafind does not post flat, self-serve subscription plans due to the highly customized nature of their deployments. Engagement Framework Pricing Mechanism Included Capabilities & Scoping Boundaries 🚀 Custom AI Engineering & SaaS Bespoke / Contact for Pricing Full-scale corporate platform integration. Unlocks custom NLP knowledge retrieval spaces, data science prototyping, enterprise security boundaries, and dedicated deployment support.