Meeetly
The AI-Powered Meeting Orchestrator for High-Velocity Teams
Updated 12d ago
Has API
PricingFreemium
Free to $49/yr
Real-time multi-speaker transcription
Automated action item extraction
Cross-meeting context linking
Mindbreeze InSpire
4.6
Free Users praise the platform for its enterprise-grade security and the sheer power of its connectors, though some note a steep learning curve for advanced NLP configuration.
Unlocking enterprise intelligence through AI-driven semantic search and actionable insight engines.
Free pricingAPI availableUpdated 2026-03-17
Best fits
Semantic document retrievalAutomated entity extraction
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About Mindbreeze InSpire
Mindbreeze InSpire is a market-leading insight engine that leverages artificial intelligence and machine learning to consolidate fragmented corporate data into a unified, searchable knowledge base. By 2026, its architecture has evolved into a central hub for Retrieval-Augmented Generation (RAG), allowing enterprises to ground Large Language Models (LLMs) in their own proprietary, secure data. The platform utilizes a highly scalable, in-memory indexing system combined with a semantic pipeline that performs entity recognition, relationship extraction, and sentiment analysis in real-time. Mindbreeze distinguishes itself through its hybrid deployment model, offering both high-performance hardware appliances and elastic cloud instances. This flexibility ensures that data sovereignty and latency requirements are met across global operations. The 2026 version emphasizes 'Insight Apps'—low-code, task-specific interfaces that provide relevant data to users before they even perform a query. With over 500 pre-built connectors to systems like SAP, Microsoft 365, and Salesforce, InSpire bridges the gap between structured and unstructured data, transforming the enterprise search experience from simple keyword matching to cognitive discovery and decision support.
Core Capabilities
Mindbreeze InSpire is a market-leading insight engine that leverages artificial intelligence and machine learning to consolidate fragmented corporate data into a unified, searchable knowledge base.
