Frequently Asked Questions
Clear, direct answers regarding custom software engineering, AI capabilities, Healthcare AI, and product collaboration with Arshify Technologies.
What does Arshify Technologies do?
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Arshify Technologies is a modern technology engineering partner specializing in custom software development, web & mobile applications, UI/UX design, AI/ML development, generative AI, AI agents, SaaS engineering, and Healthcare AI.
What does a software development company do?
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A software development company designs, engineers, tests, deploys, and maintains custom software applications tailored to an organization's specific business logic and scaling requirements.
How much does custom software development cost?
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Custom software costs vary based on complexity, architectural requirements, integrations, and compliance needs. Projects typically start with a scoped discovery phase followed by modular sprint delivery.
When should a startup build custom software?
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Startups should build custom software when off-the-shelf platforms lack critical capabilities or when core product features represent a primary competitive advantage.
What is generative AI development?
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Generative AI development is the discipline of embedding Large Language Models (LLMs), fine-tuned AI endpoints, and vector search systems into software applications to automate language, code, or synthesis tasks.
What is an AI agent?
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An AI agent is an autonomous software system that uses Large Language Models to reason, formulate execution plans, invoke external tools or APIs, and complete multi-step tasks independently.
How can AI automate business workflows?
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AI automates business workflows by processing unstructured text, classifying incoming operational data, extracting key entity fields, and invoking downstream API triggers without manual intervention.
How can AI be used in healthcare?
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AI in healthcare improves administrative document processing, automates intake and referral workflows, powers secure clinical reference search, and assists staff with chart summarization under strict clinician oversight.
What is Retrieval-Augmented Generation (RAG)?
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RAG is an AI pattern that retrieves relevant document segments from a vector database and feeds them to an LLM, allowing the AI to generate accurate answers grounded in custom private data.
What is the difference between an AI chatbot and an AI agent?
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A chatbot typically responds to user text prompts in a conversational interface. An AI agent actively executes multi-step plans by querying databases, triggering webhooks, and interacting with third-party tools.