
Customised AI Agents
AI-Powered Engine • User-First Design • Trusted Performance
From Hospitality to Legal to Manufacturing, we craft ready-to-deploy AI agents to optimise workflows, automate processes, and help businesses grow. Built for performance, designed for people, and engineered to scale with your ambition. Backed by enterprise-grade security and Ether’s deep technical expertise in AI integration and system architecture.

Customised AI Agents
AI-Powered Engine - User-First Design - Trusted Performance
From Hospitality to Legal to Manufacturing, we craft ready-to-deploy AI agents to optimise workflows, automate processes, and empower business growth. Built for performance, designed for people, and engineered to scale with your ambition. Backed by enterprise-grade security and Ether’s deep technical expertise in AI integration and system architecture.

Meet MAYA
AI Chatbot for ITH
ITH is a small and growing chain of upscale hostels and homes.
To improve direct bookings and to reduce dependency on third-party platforms, ITH partnered with us to implement a fully personalised AI chatbot tailored to their needs. The AI chatbot was designed to act as a 24/7 Virtual Concierge which is directly integrated to their website to answer guest queries, assist with room selections, and simplify the booking process.
Conversion Rate
Implementation of Maya is helping boost ITH's direct booking conversion rate.
Customer Support
Round-the-clock customer support helps in offering an enhanced guest journey.
Test Drive MAYA



AI Legal Assistant
DFDL is a legal firm based in Thailand.
A legal firm partnered with us to improve the consistency across client deliverables and to reduce the time needed for document preparation. Thus, we deployed a multilingual AI Legal Assistant which was customised according to their needs, and workflows, enabling fast and compliant drafting of legal documents. By uploading existing files, the team could easily generate content aligned well with the relevant laws- without the need of extensive manual research.
Inbuilt security
Security is embedded at every level to safeguard sensitive client data.
Reduces Admin Overload
Automates routine tasks, freeing up teams from repetitive admin work.
Custom AI Agents: From Design to Deployment
Custom AI Agent
From designing to building to deployment, we create custom AI-agents based on your workflows and business requirements
AI Training and Fine-Tuning
We build our custom RAG (hyperlink) systems according to your needs and use Prompt Engineering to ensure better accuracy and performance.
Seamless Deployment
By helping you deploy AI agents in a self-hosted setup, we give you full control over your data for maximum privacy and regulatory alignment.
PoC and MVP Development
Validate your ideas using our Proof of Concept and Minimum Viable Product (hyperlink) agents- designed to test performance in real world conditions which help you to make informed business decisions.
Integrates across platforms:
And →


The Custom AI Agent Journey
Consulting and Defining Purpose
Involves engaging with stakeholders to understand and clarify needs, identify opportunities, defining goals, and setting a focused development roadmap
Data Collection and Preparation
This is a crucial step where we aim to gather relevant, high-quality data, performing ETL and organising it to ensure that AI agent can learn it and perform accurately
Choosing Model and Architecture
Based on the previous steps we choose the best model that fits best based on your requirements
Agent Development and Fine-Tuning
We develop the AI model and train it with prepared data and fine-tune it based on the different parameters ensuring the best performance and high accuracy. All development practices are in compliance with GDPR and data privacy standards
Integrating with Backend and APIs
Building UI/UX and backend components and integrating the AI agent to existing infrastructure, in order to ensure smooth and seamless functionality, compatibility and performance
Deployment and Optimisation
Launching the AI Agent in the self-hosted environment, monitoring its real-world performance, collecting user feedback and continuously enhancing and refining the model to improve efficiency and optimise processes
Post-Deployment Support
We monitor the AI agent’s performance, provide continuous support, resolve issues, retrain with new data and adapt the AI agent to align with the evolving business needs and goals
Consulting and Defining Purpose
Involves engaging with stakeholders to understand and clarify needs, identify opportunities, defining goals, and setting a focused development roadmap
Data Collection and Preparation
This is a crucial step where we aim to gather relevant, high-quality data, performing ETL and organising it to ensure that AI agent can learn it and perform accurately
Choosing Model and Architecture
Based on the previous steps we choose the best model that fits best based on your requirements
Agent Development and Fine-Tuning
We develop the AI model and train it with prepared data and fine-tune it based on the different parameters ensuring the best performance and high accuracy. All development practices are in compliance with GDPR and data privacy standards
Integrating with Backend and APIs
Building UI/UX and backend components and integrating the AI agent to existing infrastructure, in order to ensure smooth and seamless functionality, compatibility and performance
Deployment and Optimisation
Launching the AI Agent in the self-hosted environment, monitoring its real-world performance, collecting user feedback and continuously enhancing and refining the model to improve efficiency and optimise processes
Post-Deployment Support
We monitor the AI agent’s performance, provide continuous support, resolve issues, retrain with new data and adapt the AI agent to align with the evolving business needs and goals