Multilingual enterprise performance
Support customer, employee, and operational experiences across different languages and markets.
MULTILINGUAL ENTERPRISE AI MODELS
Built for every enterprise language. Exceptional in Turkish.
CBOT develops optimized text and speech models for multilingual enterprise AI, from language understanding and content generation to real-time speech recognition and voice synthesis. Our models adapt to different languages, industries, terminology, and business tasks, with particularly deep expertise in Turkish language structure and enterprise communication.
Use CBOT models within your existing AI architecture, or work with our AI team to develop specialized models around your organization's requirements. Multilingual by design. Specialized by domain. Controlled by you.
RIGHT-SIZED MODELS
The right model is defined by the work, not by its size.
The largest model is not always the most effective option for enterprise AI. Different workloads need different combinations of language capability, response speed, infrastructure efficiency, privacy, domain knowledge, and reasoning. CBOT develops and optimizes distinct model profiles for the tasks they need to perform.
Fast interaction
Use optimized models for real-time digital and voice experiences where response time directly shapes the experience.
Efficient inference
Match model size and compute to the workload instead of assigning unnecessary infrastructure to every task.
Purpose-built models
Use different models for understanding, generation, summarization, classification, extraction, speech recognition, and synthesis.
Flexible model architecture
Combine CBOT models with commercial, open-source, private, and customer-hosted models through the wider CBOT platform.
Domain specialization
Use models tuned to your sector's terminology, tasks, and knowledge for more accurate enterprise outcomes.
Use model capacity where it creates value, not where it creates waste.
TEXT AND SPEECH INTELLIGENCE
Intelligence across text, voice, and language.
CBOT develops enterprise AI for both written and spoken communication, enabling consistent experiences across digital and voice channels, one AI foundation across every interaction.
CBOT language models
- Language understanding
- Text generation & question answering
- Summarization & classification
- Information extraction & structured output
- Enterprise knowledge access
- Selected & adapted by language, domain, task, and deployment
CBOT speech models
- Proprietary Speech-to-Text & Text-to-Speech
- Different languages and accents
- Industry terminology, brand & product names
- Custom pronunciation
- Contact-center audio & low-latency voice
- Private and on-premise deployment
One AI foundation across every written and spoken interaction.
MULTILINGUAL BY DESIGN
Multilingual by design. Deeply specialized in Turkish.
CBOT models are built for multilingual enterprise environments and adapt to the languages, markets, and communication requirements of each organization. They maintain consistent business rules, brand tone, and structured outputs across languages, and learn the product names, expressions, and industry language of each market.
Turkish is an area of particularly deep specialization. Its agglutinative structure, complex suffix relationships, sentence patterns, and domain terminology require language and speech models that understand far more than direct translation.
Multilingual capabilities
- Language adaptation of behavior, terminology, and output
- Multilingual customer, employee, and document workflows
- Cross-language consistency of rules, tone, and structure
- Local terminology, abbreviations, and market language
Turkish specialization
- Turkish language structure, suffixes, word formation, context
- Enterprise Turkish across banking, insurance, telecom, retail, public services
- Turkish text and speech (understanding, generation, STT, TTS)
- Structured extraction of intents, entities, dates, values, and products
Global language capability. Exceptional depth in Turkish.
Teach the model how your organization communicates.
Enterprise model performance depends on more than general language capability. CBOT adapts text and speech models using approved terminology, business scenarios, communication standards, and task-specific examples, for one language or across multilingual operations: Base model → Language adaptation → Domain knowledge → Task optimization → Enterprise model.
- 01
Base model
Start from a multilingual text or speech model matched to the language, latency, and infrastructure requirements of the work.
- 02
Language adaptation
Optimize behavior, terminology, prompts, and output structures for the linguistic and communication characteristics of the target markets.
- 03
Domain knowledge
Fine-tune for industries such as banking, insurance, telecom, retail, customer service, and public services, with their terminology and abbreviations.
- 04
Task optimization
Prepare the model for classification, extraction, summarization, structured generation, knowledge access, customer service, or voice interaction.
- 05
Enterprise model
Align tone, response style, and pronunciation to your brand, then refine with approved production feedback as requirements evolve.
A general model understands language. A specialized model understands your enterprise.
CUSTOM MODEL DEVELOPMENT
Need a model built around your requirements?
CBOT works with enterprises to select, adapt, optimize, and deploy custom text and speech models for specific languages, domains, tasks, and infrastructure environments, from model selection and fine-tuning to terminology training, evaluation, inference optimization, private deployment, and ongoing improvement.
01
Selection & language adaptation
Choose the right base model and adapt it to the languages, markets, and communication style you operate in.
02
Fine-tuning & terminology
Refine behavior for your domain and teach product names, service terminology, abbreviations, and specialized expressions.
03
Speech & voice profiles
Develop Speech-to-Text and Text-to-Speech models with custom pronunciation and voice profiles for your brand.
04
Private-infrastructure optimization
Optimize inference and deploy task-specific, lightweight models within your own environment.
- MULTILINGUAL LANGUAGE MODELS
- TURKISH-SPECIALIZED MODELS
- DOMAIN-SPECIFIC MODELS
- CLASSIFICATION & EXTRACTION
- KNOWLEDGE & DOCUMENT MODELS
- SPEECH-TO-TEXT
- TEXT-TO-SPEECH
- CUSTOM PRONUNCIATION & VOICE
- PRIVATE-INFRASTRUCTURE MODELS
- LIGHTWEIGHT TASK MODELS
From a specific enterprise requirement to a production-ready model.
PRIVATE & ENTERPRISE CONTROLLED
Your models and data remain under your control.
Deploy CBOT models through private cloud, hybrid, or fully on-premise architectures according to security, regulatory, performance, and data-sovereignty requirements. Text inference, speech processing, enterprise knowledge, RAG, vector storage, and runtime services can all operate within your own infrastructure.
Private inference
Process enterprise data without requiring it to leave the approved environment.
Full deployment control
Control model infrastructure, access, data policies, and operating conditions.
No mandatory external model API
Use CBOT models without a required dependency on an external commercial model provider.
Enterprise integration
Connect models to enterprise knowledge, applications, APIs, workflows, and security systems.
Your data. Your infrastructure. Your operating model.
PART OF A MULTI-MODEL ARCHITECTURE
Use CBOT models where they create the most value.
CBOT models are designed to operate as part of a flexible, multilingual, multi-model enterprise AI architecture. Use them where language capability, domain specialization, speed, privacy, or infrastructure efficiency creates value, and use other approved models where different capabilities are required.
The goal is not to use one model everywhere. The goal is to use every model intelligently.
Frequently asked questions
What is CBOT LLM?
CBOT LLM refers to CBOT's enterprise language model capabilities designed for multilingual business applications, private deployment, efficient inference, and domain-specific adaptation.
Is CBOT LLM only for Turkish?
No. CBOT develops and operates models for multilingual enterprise environments. Turkish is an area of particularly deep specialization, supported by extensive experience in Turkish language structure, enterprise terminology, text processing, and speech technologies.
Which languages does CBOT support?
Language coverage is configured to project and enterprise requirements. CBOT models and the broader platform support multilingual customer, employee, voice, and workflow applications; specific coverage is confirmed during solution design.
Can CBOT adapt models for different languages and markets?
Yes. Models can be adapted by language, terminology, communication style, business domain, and target-market requirements.
Does CBOT develop both text and speech models?
Yes. CBOT develops enterprise language models as well as proprietary Speech-to-Text and Text-to-Speech technologies.
Can CBOT build a custom model for our organization?
Yes. CBOT supports model selection, language and domain adaptation, fine-tuning, terminology training, evaluation, optimization, deployment, and ongoing improvement.
Can CBOT models run on-premise?
Yes. CBOT supports private cloud, hybrid, and fully on-premise operation according to enterprise infrastructure and security requirements.
Do enterprises have to use CBOT LLM for every task?
No. CBOT supports multi-model architectures in which every task can use the model best suited to its quality, language, latency, privacy, cost, and infrastructure requirements.
MODELS BUILT AROUND YOUR ENTERPRISE
Let's design the right models for your languages, domains, and workloads.
Talk to the CBOT AI team about your text, speech, language, terminology, deployment, and infrastructure requirements. We can help you select, adapt, optimize, or develop the models your enterprise needs.