LLM & AI API Integration
Connect language models and AI services to applications through controlled API interfaces.
AI Integration Services for Smarter Software Products
Turn AI capabilities into practical product features. Bado Tech helps businesses integrate large language models, intelligent search, AI assistants, and workflow automation into existing systems and new software products.
WHAT WE BUILD
AI Integration Solutions for Business Applications
We integrate AI into software products to support information access, document processing, and selected business workflows.
AI Chatbots & Assistants
Build conversational interfaces that help users access information and complete supported tasks.
Intelligent Search & RAG
Connect AI models with relevant documents and knowledge sources to provide context-aware information retrieval.
AI-Powered Document Processing
Extract, classify, summarize, and organize information from business documents using suitable AI services.
AI Workflow Integration
Integrate AI into selected business processes to support information handling and repetitive tasks.
TECHNOLOGY FOUNDATION
Technologies Behind Our AI Solutions
We connect AI models, business data, and application architecture to develop features that can be evaluated and operated within real software products.
Data & Knowledge Integration
Connect relevant business data, document repositories, and knowledge sources to AI workflows.
RAG & Semantic Search
Retrieve relevant information from connected knowledge sources to provide context for model responses.
Application & Workflow Integration
Embed AI capabilities into existing interfaces, backend services, and business processes.
Prompting & Evaluation
Define output requirements, test representative scenarios, and refine model behavior based on evaluation results.
AI Monitoring & Optimization
Review output quality, response latency, usage, and operational cost as AI features evolve.
From AI Use Case to Working Software
We start with a specific business problem, validate the technical approach, and integrate AI features into software through iterative development and evaluation.
1. Use-Case Discovery
Define the business problem, expected outcome, available data, and user needs.
2. Technical Validation
Assess suitable models, data access, integration requirements, and feasibility.
3. Integration & Evaluation
Build AI features and evaluate output quality, security, and performance.
4. Deployment & Refinement
Prepare production workflows and improve the solution through ongoing monitoring and evaluation.
Built for Practical, Production-Ready AI
We focus on integrating AI where it serves a clear purpose, with attention to software quality, data protection, and operational requirements.
Use-Case-Driven Development
Select AI capabilities based on business needs rather than adopting technology without a clear purpose.
Data Privacy & Security
Apply appropriate access controls and data handling practices when connecting AI with business information.
Output Quality & Evaluation
Test AI behavior against representative use cases and define suitable quality checks.
Performance & Cost Awareness
Consider model usage, response time, and operating cost when designing AI-enabled features.