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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Embeddings
Numerical representations of text, images, or other data that capture semantic meaning in a format AI can process.
Embeddings are dense numerical vectors that represent the meaning of text, images, or other data in a format that AI systems can process. Created by specialized models like OpenAI's text-embedding-ada-002, embeddings capture semantic relationships—similar concepts have similar vector representations. A 1,536-dimensional embedding can encode nuanced meaning, enabling applications like semantic search, clustering, and recommendation systems. Embeddings are fundamental to RAG systems, where they enable finding relevant documents based on meaning rather than keywords.
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