Industries
Purpose-built AI systems for the industries we serve.
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AI-native search that understands natural language and delivers direct answers
Multi-tenant AI CRM with a per-industry module architecture — each new industry gets a tailored feature set on shared infrastructure
AI orchestration layer coordinating agent workflows across CRMs, email, and marketing tools
Business analytics platform for data-driven decisions
Practice management software with AI-powered patient communication
Autonomous AI agents for ecommerce buying journeys
Intelligent scheduling that handles complex availability
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From Keywords to Conversations: AI Search Implementation
Learn how to integrate natural language search in under 2 hours
What you'll learn
In this 45-minute session, our engineering team demonstrates a complete AI search implementation from scratch. Watch as we transform a basic keyword search into a conversational AI experience that understands natural language queries.
This is not a product demo. It's a technical walkthrough with live coding, real API calls, and practical tips from engineers who have built AI search systems for production environments.
Webinar agenda
Introduction & Setup
Environment setup and project overview
API Walkthrough
Understanding the Zunkiree Search API structure
Live Coding: Basic Integration
Building your first AI search query
Advanced Patterns
Context handling, follow-up queries, and error handling
Production Tips
Caching, monitoring, and performance optimization
Q&A Session
Answers to common implementation questions
What you get:
About the presenter
Dr. Emily Rodriguez
AI Research Lead, Zunkiree Labs
Emily leads AI research at Zunkiree Labs, focusing on natural language understanding and semantic search. She has implemented AI search systems for Fortune 500 companies and startups alike.