Belitsoft. Software Development Company

Large Language Model Development Company

Belitsoft expert LLM developers create your own tailor-made solutions based on unique generative AI models trained on your proprietary data

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Our Large Language Model Development Services

Belitsoft offers a suite of LLM development services to meet your industry-specific needs and align with your domain requirements

Large Language Model Development

As a customized solution, depending on your request, we can build your LLM from scratch, starting from the ground up, or fine-tune, scale and optimize existing pre-trained models. Belitsoft builds, trains, and deploys custom LLMs using deep learning frameworks like PyTorch, TensorFlow, etc.
We can strictly limit your LLM to rely entirely or as much as possible on your private data rather than general knowledge to reduce hallucinations and make answers maximally accurate and relevant. This is not always possible with generic LLMs like ChatGPT, as they have limitations.

Large Language Model Integration

Belitsoft integrates your LLMs with your core business applications, and bridges your LLM with existing internal and external systems for access to real-time data, including enterprise systems (CRM, ERP, content management platforms, speech recognition platforms, etc.), backends, rule-based systems, database servers, API services, agent frameworks, and function-calling tools. We also integrate LLMs with event-driven systems, cloud services, and document repositories, as well as implement retrieval-augmented generation (RAG). After full automation, your LLM will read and write data, format it into reports or dashboards, fill forms, and much more.

LLM Product Development

LLM POC

Low-Risk Exploration. Try Before You Buy
Worried that exploring AI is risky or expensive? Concerned an out-of-the-box AI won’t fit your unique needs?
Begin with a Proof of Concept (POC) to test and evaluate whether an LLM brings real value and is feasible for your company with minimal commitment before any full-scale investment. Belitsoft works with you to identify key use cases and deliver a POC aligned with your specific business objectives, integrate it with existing systems and workflows, deploy within a secure cloud AI environment, and scale as you validate its effectiveness and decide to expand its AI capabilities.

LLM Prototype

The Prototype (Demo) is a Huge Cost Saver!
No heavy coding or months of research required. Learn fast whether the concept will hold up.
We'll use a design that's already familiar to your prospects. We’ll focus on logic and content to determine how the LLM should respond in key scenarios. This won’t just be a design mockup. It will be a working LLM prototype that users can interact with. To make it interactive, we'll connect your prototype to the API of an actual language model (like OpenAI’s ChatGPT). The LLM will handle the conversation and will then be able to trigger your app’s logic using the RAG technique.

LLM MVP

We're Excited About What You’re Building
Real-world traction is better than perfection.
Belitsoft helps AI startup founders build MVPs heavily reliant on LLMs in weeks and resolve any latency issues. You don’t need a big team of engineers. Sometimes, hiring a single ML specialist or using no-code/low-code tools is enough. It depend on the technical complexity: whether your app relies on multimodal systems (vision + audio + text), generative adversarial networks, AI agents, or multiple models working together. Keep the MVP as simple as possible. Build only the backend features that people care about and are willing to pay for.

Large Language Models Use Cases

Innovaccer's Custom Generative AI is integrated into the Practice Management Software/EHR interface

Large Language Models for Healthcare

Custom LLM use cases in healthcare include using LLM-based extensions to traditional applications already used in health systems, such as healthcare business intelligence, healthcare document management, clinical decision support, and customer support tools. Such extensions provide greater benefits than traditional systems alone and cannot be built on generic systems like ChatGPT due to the requirement for deep domain expertise, security considerations, and long-term business vision (as they sell enterprise-wide products rather than just test hypotheses).

Our Clients' Feedback

technicolor
crismon
berkeley
hathway
howcast
fraunhofer
apollomatrix
key2know
regenmed
moblers
showcast
ticken
elerningforce
Let's Talk Business
Do you have an LLM development project to implement? We have people to work on it. We will be glad to answer all your questions as well as estimate any project of yours. Use the form below to describe the project and we will get in touch with you within 1 business day.
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