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.
Warranty Period
20+ years in business
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 LLM
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.
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:
AES encryption
safeguards stored and transmitted data, so even if someone intercepts it, they can’t access it without the proper decryption keys
Role-based accessensure 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
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.
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.
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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.
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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.
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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.
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