Custom LLM Training

Test hypotheses with ChatGPT, but sell enterprise Gen AI products at scale using your own LLM. Get your own LLM, trained on proprietary data and delivering results through a custom chatbot or integrated into your apps.

healthcare software development services
  • Warranty Period
  • 20+ years in business

Value of Our Custom LLM Training

Belitsoft offers specialist-led LLM training services exclusively for our clients, based on their internal corporate data, guaranteeing 100% security of this data and protection of commercial information from leakage. We train and deploy AI models on-premises. Fine-tune them on internal documents, policies, and workflows to deliver domain-specific, contextually relevant and accurate answers. Your data remains in your control, stored and processed within your infrastructure, avoiding third-party services. You get a self-hosted chatbot with a customizable interface, GDPR/HIPAA-compliant.

Get your own LLMarrow right
  • Your Own Chatbot
  • Your Own LLM Model
  • Trained on Your Own Data
  • Hosted on a Server Controlled by You

How We Build Your AI Chatbots

We provide a self-hosted AI chatbot platform powered by LLMs that we train on your internal knowledge base. Featuring a ready-to-use yet fully customizable interface, it is designed for seamless integration into your workflows—ready to deploy with your branding and, providing accurate, context-aware responses.

Custom Self-Hosted AI Chatbots

We use open-source models like LLaMA to tailor and train them on your internal data—documents, FAQs, knowledge bases, and industry-specific content—so that they understand your terminology and processes.

Deployed as a chatbot within your secure internal network, our solution includes an easy-to-use interface.

Context Aware Assistance

The chatbot interprets free-form queries and delivers accurate, pre-trained responses instantly.

We apply NLP capabilities that allow chatbots to understand user intent, context, and sentiment, and they can ask questions in their own words without rigid or predefined input formats. This eliminates the need to navigate complex systems or wait for human support.
Online Course

ERP/CRM/HR Integration & Process Automation

When a user asks a question, the chatbot uses the RAG (Retrieval-Augmented Generation) method to dynamically decide whether to fetch real-time data (e.g., inventory levels from an ERP) or initiate a process (e.g., submit an HR ticket or process a customer request via APIs). It is powered by VectorDB (vector databases) for efficient data retrieval. We consolidate data from multiple systems (ERPs, CRMs, HR tools) into a single conversational interface to avoid app switching and reduce reliance on managers or support teams.
  • Pulled up-to-date data from business systems is presented in plain language, making it easily accessible to non-technical staff
  • Repetitive tasks are automated, including creating reports and order updates
  • Daily tasks are simplified with live guidance and reduced completion times

How we protect your data

We offer a secure alternative to external generative AI services like GPT, that risk data leakage, share sensitive data externally and potentially use it to train public models. Our self-hosted setup ensures that no data—such as personally identifiable information (PII), protected health information (PHI), or financial records—leaves your environment: no third-party servers, no external APIs, and no exposure of confidential information.

For industries handling sensitive data, like healthcare or finance—where a single breach can cost millions and damage trust—or businesses that need domain-specific responses (e.g., internal IT support, supply chain queries), we integrate into internal workflows and deliver enterprise-grade security.

We maintain privacy and security through:

secure AES encryption

safeguards stored and transmitted data, so even if someone intercepts it, they can’t access it without the proper decryption keys

interaction Role-based access
controls

ensure only the right people can access specific chatbot functions or data—whether it is an administrator managing settings or an employee using it for daily task

recommended Real-time monitoring

keeps an eye on performance, detects unusual activity, and sends alerts for any potential security threats

Fully isolated environments also help meet regulatory requirements like GDPR, HIPAA, and SOC-2 compliance more easily, as all data remains on-premise without third-party involvement.

Data Feeding

For precise, context-aware responses, we train self-hosted AI chatbots on your internal data—documents, FAQs, logs, and proprietary content. Using RAG-based retrieval and document uploads, the chatbot doesn’t just repeat memorized answers. Instead, it searches your uploaded data in real time and generates tailored responses. Admins upload PDFs, text files, or web content via tools like OpenWebUI. The system then indexes these documents, turning them into a searchable knowledge base. If you need to train the chatbot on a website or internal wiki, it allows to “crawl” pages or upload CSVs to build and expand a custom repository.

...

Iterative fine-tuning

Our AI engineers refine chatbots using supervised training cycles, where real-world interactions and updated datasets help the AI adjust to your industry jargon, workflows, and evolving business needs without starting from scratch. With prompt engineering techniques, including few-shot learning (teaching niche tasks with 3-5 examples) and chain-of-thought prompting ("show your work" logic) structure responses for appropriate use cases, help the chatbot interpret complex queries with greater contextual accuracy. A well-crafted prompt keeps chatbot on topic grounded in your data. For instance, whether an employee asks, “How many vacation days do I have left?” or “When can I take vacation?”, the chatbot understands the intent and delivers the same accurate response.

...

Feedback Integration

To keep your chatbot accurate and reliable, we embed user feedback loops directly into its workflow. Users upvote/downvote responses via in-chat buttons. For example, if the chatbot misinterprets “How do I reset my VPN?” as a password query, a downvote triggers an alert for admins to review and correct the answer. With sentiment analysis, we identify recurring issues and analytics dashboards allow to track user satisfaction and response accuracy, flagging low-rated answers for review. Managers and admins review flagged responses, edit answers, and upload new training data—like adding synonyms for “VPN reset” to avoid future confusion. We refine and track to ensure quality and performance.

...

AI Training Engineers

We help businesses deploy, train, refine, and scale AI models while maintaining full data control. Our AI training engineers and chatbot developers have hands-on experience in LLM fine-tuning and ensure models deliver accurate, context-aware responses tailored to your industry.

Belitsoft is a software development company and has expertise in data engineering, NLP model training, infrastructure deployment, and security compliance. We cover every aspect of AI implementation.

Our team builds custom ETL workflows to handle structured and unstructured data. Whether it’s cleaning spreadsheets, organizing customer logs, or structuring technical manuals, we process datasets at scale and make them usable for AI training. Our engineers carefully craft AI behavior to understand niche terminology and workflows and use techniques like RAG and prompt engineering to tailor AI behavior.

We have 20 years + experience in secure, enterprise-grade deployment and ensure HIPAA-compliant data handling, robust access controls, and continuous performance monitoring. Deployed on your infrastructure or cloud platforms (AWS, Azure, GCP), we turn raw data into adaptable AI for your business.

For every challenge you encounter,
our AI developers offer a combination of deep back-end expertise and a tailored approach

AI Technologies and tools we use

AI Development
DATA PROCESSING
Batch
Apache Airflow
T-SQL
Argo
Real-time
Kafka
RabbitMQ
RestAPI
DATABASES
PostgreSQL
SQL Server
Redis
ML DEVELOPMENT
Core
Python
NumPy
SQL Alchemy
Pandas
ML
Scikit learn
Deep learning
PyTorch
TensorFlow
PyTorch geometric
NLP
spaCy
NLTK
Hugging Face
Other
GENSIM
OpenCV
DEPLOYMENT & INTEGRATION
FastAPI
Apache Airflow
Argo
Docker
Celery
TensorFlow Lite
ONNX
TensorRT

Custom LLM Training Portfolio

Custom Chatbot Development for a Chatbot Store / PAAS for Bot-Building
Custom Chatbot Development for a Chatbot Store / PAAS for Bot-Building
Today, our chatbots are widely used and help the customers of our Client to deliver the best possible messaging experience to the end-users.
Custom AI Voice-Based Coach Development (Assessment Automation)
AI Voice-Based Coach
Our client is a company involved in software development, IT services, and technology innovation. Over six weeks, we developed an MVP. It provides an efficient knowledge assessment for employees by automating test creation.
Custom Training Software based on Chatbot with Coaching/Mentoring Functionality
Custom Training Software to Develop Leadership Skills in Employees
Our Client, Jeff Otis, a US entrepreneur, turned to Belitsoft to build a unique personal leadership development program. Now, we have launched an MVP of this game-changing personalized interactive web platform with coaching/mentoring functionality.
Custom Chat-Bot and SAAS Web Platform For Lead Generation
Custom Chat-Bot and SAAS Web Platform For Lead Generation
For our client, chief executive officer of a startup company from Germany, we successfully developed a chatbot to convert website visitors to leads and a database application to store them.

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Our Clients' Feedback

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technicolor
crismon
berkeley
hathway
howcast
fraunhofer
apollomatrix
key2know
regenmed
moblers
showcast
ticken
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