Building the Future of Software.

We craft high-performance AI solutions, intelligent web apps, and digital experiences that drive growth.

LLM
RAG
AI/ML

Our Services

Next-generation web development powered by Artificial Intelligence.

RAG Systems

Retrieval-Augmented Generation solutions that allow your AI to chat securely with your own business data and documents.

Starting from 6X,XXX

AI-Powered Web Apps

Full-stack applications with integrated LLM capabilities for intelligent user experiences.

Starting from 5X,XXX

LLM Integration

Seamless integration of OpenAI (GPT-4), Anthropic (Claude), or local open-source models into your existing workflows.

Starting from 3X,XXX

Vector Search & Data

Implementation of high-speed vector databases (Pinecone, ChromaDB) to enable semantic search and memory for your apps.

Starting from 3X,XXX

AI Agents & Automation

Autonomous agents capable of planning tasks, browsing the web, and automating complex back-office operations.

Starting from 7X,XXX

Intelligent Chatbots

Context-aware customer support bots that understand nuance and intent, far beyond simple keyword matching.

Starting from 4X,XXX

Portfolio

Test our live capabilities with a specialized AI assistant. Running locally within our server.

Hotel Concierge Demo

Try our RAG-powered chatbot designed specifically for the hospitality industry. See how it handles natural language, answers facility questions, and assists with bookings in real-time.

Launch Demo

Who We Are

Driven by innovation, engineering at its peak.

Founder & CEO
Achirawat Nikropitak

Software Engineering @ KMITL

Specialized in backend systems and AI implementation, leading to solve complex business problems.

Co-Founder & CTO
Kongphop Thonsungnoen

Software Engineering @ KMITL

Backend specialist focused on high-performance API architectures and secure data systems.

CMO & CFO
Tanaporn Pimpakarang

Business & Strategy

Driving financial stability and market growth through strategic planning and data-driven marketing.

Frequently Asked Questions

Common questions about our AI solutions and development process.

How long does a typical AI MVP project take?


A typical MVP (Minimum Viable Product) for an AI-powered web application usually takes between 4 to 8 weeks. This includes system architecture, frontend/backend development, and AI prompt engineering. Complex enterprise solutions vary based on requirements.

What is RAG and why does my business need it?


RAG (Retrieval-Augmented Generation) is a technique that connects AI models (like GPT-4) to your private business data. Unlike standard ChatGPT, a RAG system can read your PDFs, databases, and emails securely to provide accurate answers based only on your company's information, reducing hallucinations.

How do you ensure data security with AI?


Security is our priority. We design architectures where your sensitive data remains in your controlled environment. We use enterprise-grade APIs where data is not used for training public models. For highly sensitive projects, we can deploy open-source models entirely on your local servers.

Can you integrate AI into our existing legacy software?


Yes. We specialize in building API layers that sit between your legacy systems and modern AI interfaces. Whether you have an old SQL database or an on-premise ERP, we can build a modernization layer that allows you to chat with your data without rewriting your entire system.

Do you provide maintenance after launch?


Absolutely. AI models evolve rapidly. We offer maintenance packages that include monitoring system costs, updating vector indexes, refining prompts based on user feedback, and upgrading models as better versions (e.g., GPT-5 or Claude 3.5) are released.

Ready to transform your ideas?

Reach out to our main office for inquiries and quotes.