LLM model development services go beyond integrating ready-made APIs. These are about creating domain-specific AI systems that bring real results. At Intelliarts, we adapt pre-trained LLMs to enable use cases such as conversational chatbots, intelligent search, text summarization, and process automation.
Built on general-purpose models, our custom LLM solutions are designed for depth, accuracy, and regulatory compliance. With over 5 years of AI/ML specialization and a 90% customer return rate, our solutions prove value fast while ensuring scalability and long-term reliability.
5 years of focus on AI/ML
6-8 weeks for PoC development
90% faster workflows for our partners
AWS-certified engineers
Use of CRISP-DM methodology
90% of customers return to us with new projects
LLM Development Services that Drive Business Results
Generative AI Consulting
LLM-based Solution Development
AI Agent Development
Private Knowledge Integration
LLMOps and Observability
LLM Applications and Agentic Workflows
Our Real-World LLM Case Studies
Industry-Specific LLM Solutions by Intelliarts
Customer Support Chatbots
Document Intelligence
Private Knowledge Copilots
Document and Media Intelligence
Analytics and Reporting Narratives
Custom LLM Solutions for Your Business Domain
Inside Our LLM Development Framework
More than Just Development — Get a Tech Partner
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5+ years of experience in LLM and AI development
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Domain specialization
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High customer loyalty
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Proven track record with GPT-4, Claude AI, and other LLM frameworks
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LLM development toolkit
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Advanced prompt engineering and RAG
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Fast PoC and MVP delivery
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Continuous learning culture
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Focus on data security and compliance
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Awards and recognitions
With over 5 years focused on AI/ML and 25 years in software engineering, we bring both engineering rigor and practical experience to every LLM project. Our expertise in NLP, machine learning, and sentiment analysis provides a strong foundation for building LLM solutions that are accurate, scalable, and ready for enterprise use.
We focus on industries where accuracy and compliance matter most, from insurance to healthcare, agritech, law, e-mobility, and finance. Having delivered AI solutions across both highly regulated and fast-moving sectors, we understand domain nuances and adapt LLMs to meet each industry’s specific needs.
90% of our customers return with new projects, and our average partnership lasts over 4 years on a single project. At Intelliarts, we focus on building long-term collaboration, delivering LLM solutions that evolve together with our partners’ needs rather than one-off implementations.
Our team has hands-on experience with GPT-4, Claude AI, LLaMA, and others, applying them to real business challenges. From contract analysis with GPT to customer chatbots on Claude and LLaMA-based knowledge copilots, this all-round experience lets us pick the right framework for each project instead of forcing a one-size-fits-all approach.
OpenAI
Anthropic Claude
LLaMA AI
Hugging Face Transformers
LangChain
LangGraph
LangSmith
PostgreSQL pgvector
Pinecone
Elasticsearch
Cohere Rerank
Vespa
Weights & Biases
Kubernetes & Docker
AWS
Microsoft Azure
Our ML experts started working with RAG before it became an industry standard. Combined with advanced prompt engineering, our approach minimizes hallucinations and makes sure that answers are grounded in verified knowledge, a critical factor for sectors like insurance, finance, and renewable energy.
As a large language model development company, we help our customers validate ideas fast through proofs of concept and MVPs. Our process delivers tangible results in just 5–8 weeks, allowing you to test feasibility and move forward with lower risks.
At Intelliarts, we foster a diverse learning culture where our engineers constantly expand their expertise. Our team takes part in hackathons and competitions, shares knowledge through university lectures, and contributes to communities like AI House. This commitment to growth ensures our LLM solutions stay aligned with the latest research and industry practices.
Security and compliance lie at the core of our LLM development services. We design solutions in line with GDPR, HIPAA, and other strict regulations to protect your sensitive data and build our AI systems trustworthy and resilient.
Top Generative AI Development Company by Selected Firms
Top Machine Learning Company in Ukraine by Clutch
Top NLP Company by Clutch
Top BI and Big Data Company by Clutch
Top AI Development Company by Tech Reviewer
Top IT Consulting Company by AppFutura
Top AI Consulting Company by Vendorland
Top Big Data Analytics Company by GoodFirms
OpenAI
Anthropic Claude
LLaMA AI
Hugging Face Transformers
LangChain
LangGraph
LangSmith
PostgreSQL pgvector
Pinecone
Elasticsearch
Cohere Rerank
Vespa
Weights & Biases
Kubernetes & Docker
AWS
Microsoft Azure
Top Generative AI Development Company by Selected Firms
Top Machine Learning Company in Ukraine by Clutch
Top NLP Company by Clutch
Top BI and Big Data Company by Clutch
Top AI Development Company by Tech Reviewer
Top IT Consulting Company by AppFutura
Top AI Consulting Company by Vendorland
Top Big Data Analytics Company by GoodFirms
Contact Us
Ready to turn AI into measurable business value? At Intelliarts, we combine domain expertise with all-round machine learning capabilities, from predictive modeling to NLP and advanced LLMs. Let’s work together to turn your data and ideas into AI that’s secure, scalable, and future-ready.
FAQ
What LLM models does Intelliarts support?
As a tech-agnostic company, we support a wide range of LLMs, including GPT-4/GPT-5, Claude, LLaMA, and other open-source or proprietary models. As a rule, our team selects the framework that best fits your project’s goals, data, and other requirements.
What is the typical timeline and cost for an LLM development project?
Most LLM projects at Intelliarts start with a 2-week discovery phase to define requirements and scope. A proof of concept is typically delivered within 2–3 months at a cost of around $40K–$45k, allowing fast validation and stakeholder buy-in. Full-scale implementations usually take an additional 3–6 months, with budgets ranging from $170K–$180k, depending on data complexity, integrations, and deployment requirements.
How does Intelliarts ensure data privacy and compliance?
We design all solutions with privacy and compliance at their core, following industry standards like GDPR and HIPAA. Our best practices include anonymization and encryption of sensitive data; role-based permissions; filtering training data; regular audits; etc.