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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Few-shot Learning
Teaching an AI model new tasks by providing just a few examples in the prompt.
Few-shot learning is a technique where an AI model learns to perform a task from just a few examples provided in the prompt. Instead of fine-tuning on thousands of examples, you include 2-5 demonstrations of the desired input-output pattern. The model generalizes from these examples to handle new inputs. Few-shot prompting is more reliable than zero-shot for complex tasks and more practical than fine-tuning when data is limited or tasks change frequently.
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