Services
Generative AI & LLM Development
Generative AI and LLM Development Services for Modern Applications
TechnAre develops generative AI applications powered by large language models (LLMs) for businesses that want intelligent features inside websites, applications, internal platforms, and customer experiences.
We build solutions for content generation, document analysis, summarization, knowledge search, question answering, structured data extraction, AI assistants, RAG applications, and other language-based use cases.
The application architecture can combine an LLM with business rules, retrieval, APIs, databases, permissions, monitoring, and human review so the AI operates within the context of your product.
What you get
- Custom Generative AI application development
- LLM API integration
- Retrieval-Augmented Generation (RAG)
- AI knowledge bases
- Document analysis and summarization
- Structured information extraction
- AI content generation
- LLM-powered application features
- Prompt engineering and evaluation
Custom Generative AI Development
We integrate generative AI into applications where language understanding or content generation provides a useful business advantage.
Key Services
- Generative AI Application Development
- LLM Integration
- AI Writing Features
- AI Summarization
- Question Answering
- Information Extraction
- Content Generation
- AI-Powered Search
What the work includes
- AI use-case discovery
- LLM and architecture selection
- Prompt and response design
- RAG and knowledge retrieval where required
- Document and data integration
- Application and API integration
- Evaluation and testing
- Security and access controls according to project requirements
- Monitoring and ongoing optimization
Approach
01
Define the AI use case
We identify what the model needs to understand, generate, retrieve, classify, or transform and define measurable success criteria.
02
Build the AI application
We integrate the selected LLM with prompts, retrieval, tools, APIs, application logic, user interface, and business data.
03
Evaluate and optimize
We test outputs against realistic examples and edge cases, improve prompts and retrieval, and optimize the application based on quality, latency, cost, and business requirements.
FAQ
What is generative AI development?
Generative AI development involves building software that uses AI models to generate or transform content such as text, summaries, structured information, answers, or other outputs based on user requests and application context.
What is an LLM?
A large language model is an AI model trained to understand and generate language. LLMs can be integrated into software for tasks such as question answering, summarization, content generation, extraction, and conversational experiences.
What is RAG?
Retrieval-Augmented Generation combines information retrieval with an LLM. The application retrieves relevant information from an approved knowledge source and provides that context to the model before generating a response.
Can you build a private AI knowledge base?
Yes. A business knowledge system can be designed around approved documents, databases, or other information sources with access controls appropriate to the application.
Can generative AI connect to our existing application?
Yes. LLMs can be integrated through APIs and application services with websites, mobile apps, CRM, ERP, databases, internal systems, and other software.
Can you reduce inaccurate AI responses?
AI output cannot be guaranteed to be perfect. However, application design can improve reliability using retrieval, structured outputs, validation, business rules, evaluation datasets, permissions, and human review where appropriate.
Start a project
Build a Generative AI Application With TechnAre
Tell us what you want your AI application to understand, generate, summarize, search, or automate. TechnAre develops LLM-powered applications and AI features for businesses in Pakistan and international markets.