Cresta vs Glean (Glean Technologies)

Conversational research tool: poses natural-language questions over customer interaction data and returns evidence-grounded charts, comparisons and written answers.

Automated 24/7 phone-answering system for small businesses that captures leads, books/reschedules appointments, answers questions and routes calls.

A supervision surface for a contact centre running both people and AI agents, giving real-time oversight and guidance across the two.

Identifies which customer conversations are automation candidates, assigns a readiness score by volume/complexity/resolution rate, and exports discovered flows into Cresta's AI Agent Builder.

Real-time AI that listens to live contact-center conversations and surfaces behavioral coaching, source-backed answers and after-call summaries directly inside an agent's existing tools.

Analyzes 100% of customer conversations across human and AI agents to surface behavioral drivers of CSAT, handle time and revenue, combining Cresta Insights, Quality Management and Coach.

The no-code AI workflow engine that powers every Cresta product ('Opera GenAI Intents, Opera Workflows, Opera Analyzer'), letting contact-center teams configure and continuously optimize AI without writing code.

Continuously listens during customer interactions and surfaces precise answers in real time, grounded in conversation and on-screen context (account status, order history), guiding agents through complex workflows.

Analyzes conversation data to generate realistic customer personas, ranked by traffic volume and traced to source conversations, for AI-agent testing, human-agent training and voice-of-customer simulation.

Lets contact-center agents practice against AI-simulated customers built from real conversations, for onboarding, continuous skill development and targeted coaching.

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.