Generative AI Development Services for Custom AI Solutions
Build AI-powered applications, intelligent assistants, and LLM-based solutions with Unisam. Our Generative AI development services help businesses create production-ready AI systems, automate knowledge workflows, integrate large language models, and enhance existing software with advanced AI capabilities.
What We Build as a Generative AI Development Company
Unisam builds custom Generative AI applications that help businesses create intelligent workflows, automate knowledge-based tasks, and improve user experiences. Our Generative AI development services cover the complete lifecycle, including AI strategy, LLM integration, RAG implementation, application development, testing, and production deployment.
Our Generative AI solutions include AI assistants, AI copilots, knowledge-based applications, workflow automation systems, and LLM-powered software features designed around specific business requirements.
We design Generative AI solutions with secure data handling, application integration requirements, and practical business workflows in mind.
Custom Generative AI Applications
We develop custom Generative AI applications that generate content, assist users, process information, and support business workflows based on specific user requirements and expected outcomes.
AI Assistants & Copilots
We build intelligent AI assistants that help users search information, summarize content, create documents, and complete tasks using approved business data and workflows.
RAG Knowledge Systems
We create Retrieval-Augmented Generation solutions that connect large language models with company documents, databases, and knowledge sources to deliver relevant and context-aware AI responses.
AI Agents & Workflow Automation
We develop AI-powered agents that support multi-step workflows, automate repetitive tasks, and help teams improve business processes through intelligent automation.
LLM Integration & AI APIs
We integrate large language models such as GPT, Claude, Llama, and other AI models into existing applications through secure APIs, custom workflows, and application-specific configurations.
Generative AI Software Integration
We enhance existing software products with Generative AI capabilities such as intelligent search, content generation, summarization, recommendations, and AI-powered user assistance.
Business Problems Our Generative AI Development Services Solve
Businesses are exploring Generative AI to improve productivity, automate repetitive work, and create smarter digital experiences. Unisam develops custom Generative AI solutions designed around specific workflows, data requirements, and software environments.
Teams spend too much time creating repetitive content, reports, emails, and business documents manually.
We build Generative AI content solutions that help create drafts, summarize information, and support document workflows while keeping human review and approval processes in place.
Employees struggle to find accurate information across multiple documents, systems, and knowledge sources.
We develop RAG-powered AI knowledge assistants that connect with approved business data and help users access relevant information faster.
Businesses want to adopt AI but need guidance choosing suitable models and integration approaches.
Our LLM integration services connect AI models with existing applications while considering security, performance, cost, and business requirements.
Customer support teams spend valuable time answering repeated questions and routine requests.
We create AI-powered assistants that handle common inquiries, generate responses, and support customer teams with faster information access.
Businesses need AI capabilities while maintaining control over sensitive company information.
We design secure Generative AI solutions with controlled data access, integration planning, and business-focused workflows.
Existing software lacks intelligent features users expect from modern applications.
We integrate Generative AI capabilities into existing platforms including AI search, summarization, assistants, and intelligent workflows.
Core Features of Our Generative AI Development Services
Our Generative AI solutions include the capabilities required to build reliable AI applications, from RAG knowledge systems and LLM integration to secure deployment and intelligent workflow automation.
RAG Knowledge Systems
Our Generative AI solutions can connect large language models with approved business documents, databases, and knowledge sources to support relevant and context-aware responses.
AI Assistants & Copilots
We create AI assistants and copilots that help users search information, summarize content, generate responses, and support defined business workflows using relevant business knowledge.
LLM Integration & AI Workflows
We integrate large language models into existing applications through APIs, custom workflows, and AI-powered features designed around specific business requirements and user needs.
AI Output Quality Controls
We design Generative AI applications with validation, review, and output controls to help teams manage AI-generated content and maintain defined business standards.
AI Performance & Cost Optimization
We optimize Generative AI applications by improving response quality, managing model usage, and selecting suitable approaches for different business requirements and workloads.
Secure Generative AI Deployment
We deploy Generative AI solutions with controlled data access, secure application architecture, and integration approaches suited to business software environments.
Add Generative AI to Your Existing Software
You do not always need to replace an existing product to introduce AI capabilities. Unisam can assess your current software, identify practical AI use cases, and integrate Generative AI features into the workflows your users already rely on.
Assess Your Existing Product
We review your application's architecture, user experience, APIs, data sources, permissions, and current workflows to understand where Generative AI integration can provide practical value.
Identify the Right AI Use Case
We define the specific tasks where AI can assist users, automate repetitive work, improve information access, or enhance an existing workflow instead of adding AI where it is not necessary.
Connect Business Data and Knowledge
When the use case requires business context, we connect the AI feature with approved documents, databases, APIs, or application data so responses and actions are based on the information your software is designed to use.
Integrate AI Into Existing Workflows
We integrate Generative AI capabilities directly into relevant product workflows, such as intelligent search, summarization, content generation, recommendations, document assistance, and internal knowledge support.
Apply Access and Review Controls
We consider user permissions, data access, validation, and human review requirements when integrating AI features, helping businesses maintain control over how AI-generated information is used.
Test and Prepare for Production
Before release, we test AI responses, integrations, permissions, workflow behavior, and important edge cases to help ensure the new Generative AI functionality works correctly within the existing product.
How We Build Generative AI Applications
We take Generative AI projects from a defined business use case through architecture, prototyping, integration, testing, and production deployment.
Use Case Discovery & Feasibility
We identify practical Generative AI opportunities and evaluate your business requirements, available data, existing systems, integration points, and expected outcomes.
Model Selection & Architecture
We evaluate suitable large language models and define the application architecture based on response quality, data requirements, integration needs, performance, and operational cost.
Prompt Engineering & Prototyping
We develop prompts, instructions, evaluation scenarios, and prototype interactions for the selected use case. AI behavior is tested against expected inputs and important edge cases.
AI Integration & Knowledge Connection
We connect the AI application with approved documents, databases, APIs, or business systems when required, including retrieval workflows for knowledge-based applications.
Testing, Deployment & Improvement
We test responses, integrations, permissions, workflows, and important edge cases before production. Monitoring and feedback can then guide ongoing improvements.
Each stage is aligned with your business requirements before the project moves to the next development phase.
Where Generative AI Can Support Your Business
Generative AI can be applied to specific business tasks across departments and digital products. We design solutions around the information, workflows, and outcomes that matter to your organization.
Intelligent Knowledge Search
Help employees find information across documents, policies, manuals, and approved business knowledge using natural language queries and AI-powered retrieval.
Document & Content Generation
Generate drafts for reports, product descriptions, business documents, emails, and other repetitive content while keeping defined workflows for review and approval.
Customer & Employee Assistants
Build AI assistants that answer questions, summarize information, guide users through processes, and provide contextual support inside digital products.
Workflow & Task Automation
Use Generative AI to support repetitive workflows such as information extraction, classification, summarization, response drafting, and structured task processing.
Software Development Assistants
Add AI capabilities that support developers with code explanations, documentation, test generation, technical search, and other development workflows.
AI-Powered Product Features
Add Generative AI features directly to SaaS platforms, web applications, and internal software, including summarization, recommendations, natural language interfaces, and content assistance.
Why Businesses Choose Unisam for Generative AI Development
Businesses choose Unisam for generative AI development because we build RAG-first solutions that deliver grounded, auditable answers, support multi-model flexibility across leading LLM providers, and keep humans in the loop for quality control. With EU data residency, disciplined prompt engineering, and transparent cost management, we create secure, scalable, and reliable generative AI systems that help businesses automate content, improve productivity, and protect compliance.
Frequently Asked Questions About Generative AI Development
Start Your Generative AI Project with Unisam
Whether you need generative AI development Austria, generative AI development Poland, generative AI development Italy, or generative AI development Switzerland, a custom AI assistant, content automation system, or RAG-powered knowledge tool, Unisam delivers generative AI applications that work in production.
Tell us about your use case. We reply within 24 hours with a scope document and approach or Schedule a 30-Minute GenAI Discovery Call to discuss your project with our generative AI team.
