Cresta vs Z.ai (Zhipu AI)

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.

Cresta's autonomous contact-centre agent, handling customer conversations end to end rather than coaching a human through them.

AI research assistant built on Zhipu's GLM models that performs academic and scholar search, AI-assisted paper reading, literature-review generation with citations, and scholarly question answering.

Deep-research assistant that searches and scrapes source websites to produce structured research reports and can emit the result as a slide deck or web page, with browser automation and video summarisation.

Assistant built on the GLM models, covering chat, web search and document work.

Zhipu's Chinese-market consumer AI assistant and agent built on the GLM model family, covering dialogue, writing, coding, translation and multimodal input.

Locally installed AI agent application with 50+ preconfigured skills that performs document generation, data analysis, browser automation and messaging-app collaboration, running on Windows, macOS, iOS and Android and defaulting to the GLM-5.3 model.