Glean (Glean Technologies) vs Uniphore

Governs model traffic, tool calls and enterprise AI context flowing through third-party AI applications.

Build, deploy and orchestrate enterprise AI agents at scale.

Build custom generative AI apps and agents on a company's own knowledge.

Enterprise-context AI coworker that answers questions, summarizes documents and takes action grounded in a company's own connected data.

Builds enterprise context for AI from a company's applications, people and relationships (the knowledge/enterprise graph underlying Glean's other products).

Model-routing and cost-optimization layer for the Glean platform: routes each task to the best of 40+ LLMs by cost/performance, runs continual memory learning across surfaces, and orchestrates an agent harness for long-running work.

Governs AI wherever work happens: sensitive-data and AI-interaction protection, agent-permission enforcement, prompt-injection defense (96.9% detection accuracy) and end-to-end audit logging.

Permissions-aware enterprise search across 100+ connected apps, using deep-learning semantic understanding and a company knowledge graph for personalized, real-time-indexed results.

Announced ("coming soon") module that maps enterprise workflows, ranks AI-automation opportunities, drafts agent blueprints for Glean Agent Builder, and tracks ROI of AI adoption.

An intelligent company homepage that brings work, knowledge and agents into one surface.

Searches a company's connected applications and runs assistants and agents over what it finds.

A cloud-native enterprise communication recording application that captures voice and screen data, marketed as the capture layer that makes conversation data available to AI. It records uncompressed stereo audio with multi-channel support, includes transcription, and provides customizable policy engines for recording, retention, storage and export alongside MiFID II, Dodd-Frank, PCI DSS and GDPR compliance controls.

A generative-AI conversational intelligence application that analyses 100% of customer conversations to surface trends, sentiment and actionable insights. It automates QA scoring across all calls rather than manual sampling, and surfaces emerging call drivers beyond predefined categories.

An AI agent-assist application that gives contact centre agents in-call support: pre-call intelligence pulled from CRM and past interactions, knowledge assist that delivers contextual answers without manual search, generative conversation summaries with disposition capture, and sentiment detection. A manager dashboard provides live transcription and real-time performance alerts.

An AI recruiting application that summarises resumes and job descriptions, suggests interview questions, and provides real-time co-pilot guidance to interviewers based on candidate background and role requirements. Generative AI automates the creation of interview questions, summaries and notes.

An enterprise sales AI application that analyses the visual, verbal and tonal cues of every sales interaction to surface deal insights and automate administrative work. It provides real-time meeting assistance using emotion AI and generative AI, buyer sentiment and engagement analysis, sales methodology adherence tracking, a searchable sales knowledge base, and AI coaching.

A conversational automation application providing virtual agents across voice and digital channels. It includes emotion AI for sentiment detection and empathetic response, multilingual support with automatic language detection, a no-code conversation designer for business users, and generative-AI training that auto-generates intent phrases.

Builds and orchestrates enterprise AI agents with visual workflows, an orchestration engine and third-party agent integration.

A four-layer enterprise AI platform — data, knowledge, model and agentic layers — meant to unify what a large company already has rather than replace it.

Connects and governs enterprise data for AI without copying it.

Prepares enterprise knowledge for retrieval and model tuning.

Predicts customer behavior and automates marketing execution.

Manages model inference, fine-tuning and orchestration.