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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The definitive guide to AI adoption across Nepali industries. Free download.
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Inference
The process of running a trained AI model to generate predictions or outputs from new input data.
Inference is the process of using a trained AI model to generate predictions or outputs from new input data. While training teaches the model, inference is when the model applies what it learned. Inference latency (speed) and cost are critical considerations for production AI systems. Options include cloud APIs (OpenAI, Anthropic), self-hosted models, and edge deployment. Optimization techniques like quantization and batching reduce inference costs while maintaining quality.
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