Clarvia
AI platform automating end-to-end customer service operations with voice, chat, and human handoff.
Clarvia is an AI-powered customer service platform that fully digitizes and automates customer support operations from end to end. Customer calls, requests, and information queries are analyzed by artificial intelligence and answered instantly and accurately — while routine, repetitive tasks are handled autonomously and complex cases are seamlessly transferred to human agents. The result is 24/7 operational continuity, fewer human errors, and a faster, more consistent customer experience.
Project Overview
Services: UI/UX Design · Web Development · AI Services
Industry: Customer Service / Call Centers
Live Link: clarvia.com
AI Infrastructure The platform is built on three core AI components working in unison:
Large Language Model (LLM): Understands customer requests in context and generates accurate, consistent responses.
Speech Recognition (ASR): Converts voice input into text and prepares it for analysis in real time.
Speech Synthesis (TTS): Produces natural, fluent voice responses for a human-like conversation experience.
All AI models are built on open-source foundations and trained specifically for each organization. The system runs entirely on on-premise servers — keeping data security, privacy, and control fully in the customer's hands. Models can be continuously updated and refined as new data becomes available.
Human → AI Clarvia's AI is designed to replicate the work of a customer service representative one-to-one. Customer intent is analyzed and the appropriate scenario is launched automatically — handling tasks like billing inquiries, request creation, and information retrieval without human involvement. The system dynamically adjusts dialogue flow based on user responses, creating a natural conversational experience. When AI reaches its limits, calls are handed off to human agents seamlessly, ensuring the customer experience is never interrupted.
Control & Management Each organization defines exactly how much authority the AI is granted. The system can run fully autonomously, operate alongside human agents, or remain entirely manual for critical processes. Through the management panel, teams can:
Build and modify dialogue flows
Edit conversation scenarios
Update the knowledge base in real time
The AI's tone, language, and communication style can be tailored to match the organization's brand voice, while behavior rules ensure compliance with KVKK and industry regulations.
Integration Clarvia is designed to plug directly into existing call center infrastructure. It can integrate with IVR systems or replace them entirely, and connects to CRM, ticketing, billing, and customer management platforms via API. A microservice architecture delivers the flexibility and scalability needed to grow with the business, while web applications and mobile SDKs make Clarvia available across every channel — unifying all customer interactions under a single platform.
Setup & Onboarding Every Clarvia deployment begins with a detailed analysis of the organization's specific needs:
Daily call volume, usage scenarios, and business processes are mapped out.
Required datasets are prepared for AI model training.
Existing call recordings, transcripts, and customer interaction data are cleaned and processed.
Where data is incomplete, supplementary datasets are introduced to strengthen the model.
The AI is then trained on the organization's communication style, workflows, and customer interaction patterns — supported by a custom knowledge base that ensures accurate, on-brand responses from day one.
Analytics & Reporting Every customer interaction is analyzed and reported, feeding both operational and strategic decision-making. Key reporting capabilities include:
Call volume, category distribution, and hourly/daily intensity analysis to surface clear trends in customer demand
Tracking of AI-resolved vs. agent-transferred calls to measure automation efficiency
Customer satisfaction scores and feedback analysis for continuous service quality assessment
Performance metrics including AI accuracy, response quality, and resolution time
The insights gathered are used to continuously optimize dialogue flows, scenarios, and the knowledge base — ensuring Clarvia gets smarter, faster, and more effective over time.
Clarvia is an AI-powered customer service platform that fully digitizes and automates customer support operations from end to end. Customer calls, requests, and information queries are analyzed by artificial intelligence and answered instantly and accurately — while routine, repetitive tasks are handled autonomously and complex cases are seamlessly transferred to human agents. The result is 24/7 operational continuity, fewer human errors, and a faster, more consistent customer experience.
Project Overview
Services: UI/UX Design · Web Development · AI Services
Industry: Customer Service / Call Centers
Live Link: clarvia.com
AI Infrastructure The platform is built on three core AI components working in unison:
Large Language Model (LLM): Understands customer requests in context and generates accurate, consistent responses.
Speech Recognition (ASR): Converts voice input into text and prepares it for analysis in real time.
Speech Synthesis (TTS): Produces natural, fluent voice responses for a human-like conversation experience.
All AI models are built on open-source foundations and trained specifically for each organization. The system runs entirely on on-premise servers — keeping data security, privacy, and control fully in the customer's hands. Models can be continuously updated and refined as new data becomes available.
Human → AI Clarvia's AI is designed to replicate the work of a customer service representative one-to-one. Customer intent is analyzed and the appropriate scenario is launched automatically — handling tasks like billing inquiries, request creation, and information retrieval without human involvement. The system dynamically adjusts dialogue flow based on user responses, creating a natural conversational experience. When AI reaches its limits, calls are handed off to human agents seamlessly, ensuring the customer experience is never interrupted.
Control & Management Each organization defines exactly how much authority the AI is granted. The system can run fully autonomously, operate alongside human agents, or remain entirely manual for critical processes. Through the management panel, teams can:
Build and modify dialogue flows
Edit conversation scenarios
Update the knowledge base in real time
The AI's tone, language, and communication style can be tailored to match the organization's brand voice, while behavior rules ensure compliance with KVKK and industry regulations.
Integration Clarvia is designed to plug directly into existing call center infrastructure. It can integrate with IVR systems or replace them entirely, and connects to CRM, ticketing, billing, and customer management platforms via API. A microservice architecture delivers the flexibility and scalability needed to grow with the business, while web applications and mobile SDKs make Clarvia available across every channel — unifying all customer interactions under a single platform.
Setup & Onboarding Every Clarvia deployment begins with a detailed analysis of the organization's specific needs:
Daily call volume, usage scenarios, and business processes are mapped out.
Required datasets are prepared for AI model training.
Existing call recordings, transcripts, and customer interaction data are cleaned and processed.
Where data is incomplete, supplementary datasets are introduced to strengthen the model.
The AI is then trained on the organization's communication style, workflows, and customer interaction patterns — supported by a custom knowledge base that ensures accurate, on-brand responses from day one.
Analytics & Reporting Every customer interaction is analyzed and reported, feeding both operational and strategic decision-making. Key reporting capabilities include:
Call volume, category distribution, and hourly/daily intensity analysis to surface clear trends in customer demand
Tracking of AI-resolved vs. agent-transferred calls to measure automation efficiency
Customer satisfaction scores and feedback analysis for continuous service quality assessment
Performance metrics including AI accuracy, response quality, and resolution time
The insights gathered are used to continuously optimize dialogue flows, scenarios, and the knowledge base — ensuring Clarvia gets smarter, faster, and more effective over time.
Our Work
You may also like.
A look at the products we've built and the teams we've built them with. From early-stage MVPs to scaled platforms, each project reflects our focus on quality engineering, thoughtful design, and outcomes that move the business forward.
