Why Uptech?

25+

AI Solutions delivered

5

In-House AI products

3+years of expertise

working with GenAI models and LLMs

GDPR, HIPAA, AI ACT

Compliance with data privacy and security laws

Our LLM Development Services

Custom LLM Architecture & Proprietary Model Development

We design intelligent models tailored to your industry and workflows. Our AI experts go beyond standard transformer architectures to develop solutions that address your domain-specific requirements while aligning closely with your business goals for effective results.

Advanced LLM Fine-tuning and Model Customization

At Uptech, we fine-tune pre-trained models such as BERT, GPT, and BART to ensure your product reflects your brand values and expertise. Our team adjusts model parameters to support specific tasks like customer service automation, content generation, and more.

Enterprise LLM Integration & API Development

We focus on seamless LLM integration for enterprise environments. Our team builds robust APIs with secure endpoints, using internal tools or third-party services to ensure safe, reliable communication with your systems. Each implementation is designed to grow with your business.

RAG & Knowledge Enhancement Systems

We build Retrieval-Augmented Generation (RAG) systems for complex domains such as fintech. Our experts gather and clean your proprietary data, strengthen retrieval pipelines, and enable context-aware information retrieval and generation to improve accuracy and relevance.

LLMOps and Production
Monitoring

Our proven LLMOps cycles ensure seamless integration of your LLM products into existing systems. We monitor performance, cost, and usage continuously to maintain optimal operation, quickly resolve issues, and support ongoing improvements throughout the product lifecycle.

Multi-Agent LLM
Systems

Our experts create collaborative, LLM-powered AI agents that handle complex tasks by breaking them into steps. Using specialized agentic LLMs, we enhance automation, streamline multi-step workflows, and speed up problem-solving with minimal human involvement.

LLM Security & Compliance
Solutions

We keep up with evolving AI regulations like GDPR and HIPAA to ensure your AI systems remain secure and compliant. Our experts follow industry best practices, including data encryption, API security, input sanitation, and other measures to protect your LLM applications.

Strategic Consulting & Use Case Discovery

If you’re unsure how AI can benefit your business, our team helps identify the right LLM development services for your needs. We analyze your workflows, pain points, and data-heavy processes to uncover high-impact use cases, then validate your ideas with working PoCs.

Oleh Komenchuk

ML Department Lead

We analyze, innovate, and build LLM solutions around your business needs.

Start Your LLM Journey

Start Your LLM Journey

LLM Use Cases in Your Industry

Large language models (LLMs) transform how industries manage language-based workflows. They automate documentation, uncover insights from unstructured data, and enable faster, more informed decisions. Explore how they’re solving real-world challenges across key sectors.

Fintech

LLMs improve fintech by powering smart customer support, summarizing financial documents, and detecting fraud patterns in real time. They also reduce manual effort in KYC, simplify compliance checks, and help teams offer more responsive, personalized banking services.

Healthcare

In healthcare, large language models support clinical staff by easing documentation burdens, responding to patient inquiries, and summarizing charts. LLMs also aid diagnostic accuracy by interpreting clinical notes and highlighting relevant data for better patient outcomes.

E-commerce

LLMs enhance the online shopping experience by understanding customer intent, generating product descriptions, and powering intelligent chat support. They also analyze buying behavior and handle backend tasks like returns, inventory updates, and product categorization.

Logistics

Logistics teams use LLMs to make sense of large volumes of supply chain data, from delivery logs to inventory reports. These models assist with route planning, reduce communication bottlenecks, and support timely decisions using historical and operational insights.

Delivery

LLMs help delivery platforms manage customer queries, resolve support tickets, and send automated status updates. They also extract insights from proprietary logistics data and summarize performance metrics to boost accuracy and streamline last-mile operations.

Travel & Hospitality

LLMs personalize guest experiences by creating custom itineraries, handling customer service, and enabling real-time pricing strategies. They also help travel brands manage reviews, centralize guest communications, and generate local content at scale.

Real Estate

In real estate, LLMs generate compelling property listings, automate follow-ups, and summarize legal or inspection documents. They also support fraud detection, market research, and investment strategies by extracting insights from contracts, listings, and past sales data.

Insurance

Insurers use LLMs to speed up claims processing, generate clear policy summaries, and explain complex coverage terms in everyday language. These models also enhance fraud detection, underwriting, and risk evaluation by reviewing historical data and customer profiles.

Trading

LLMs assist traders by summarizing financial news, analyzing sentiment, and turning market data into actionable insights. These models help automate report generation, support risk modeling, and enhance the speed and accuracy of financial decision-making.

Our LLM Projects in Action

Presidio Investors

AI-Powered Deal Flow Analysis

We partnered to build a robust, LLM-powered platform that accelerates deal processing, improves data accuracy, and frees analysts to focus on high-impact decision-making.

View Case Study

View Case Study

HealthTech Startup

AI-Automated Prescription Management

We trained a multimodal LLM to interpret different text and image formats to collect customers’ prescriptions and create consolidated medical plans based on the data.

View Case Study

View Case Study

“Uptech is a great partner for software and web development projects. I was impressed with the talent level for each of the roles, including design, front-end, back-end.”

Indy Sheorey CO-FOUNDER & CTO, ANGLER AI

contact us

contact us

Why Teams Choose Uptech

Uptech doesn’t just build AI. As an LLM development company, we create scalable LLM solutions that address your pain points from day one and support your products beyond launch. In the fast-paced world of artificial intelligence, here’s why you should partner with us:

Deep AI/ML expertise across industries

Our LLM development services bring deep AI and machine learning expertise paired with extensive experience across industries. We deliver production-grade AI solutions focused on stability, security, and efficiency to meet your business needs and drive real-world impact.

End-to-end product development

Uptech offers end-to-end LLM product development with cross-functional teams. Our product managers, developers, designers, and QA specialists ensure AI solutions align with your goals throughout every stage, from initial development to final deployment and ongoing support.

Domain-driven,
detail-obsessed teams

With over 15+ years of experience, our expert teams adapt LLM development solutions to your specific use case, tech stack, and workflows. We conduct a comprehensive analysis of your domain and business to fully understand and address your pain points and needs.

Focused on performance and efficiency

We design systems that balance long-term scalability with cost-effectiveness. Whether fine-tuning models or managing end-to-end LLM production, our approach ensures your AI solutions deliver sustained productivity and use resources efficiently over time.

Prioritizing transparency and clear communication

At Uptech, we place customer trust at the core of everything we do. Even with rapid iterations, we maintain full transparency by clearly communicating progress, challenges, and solutions at every stage of development, ensuring you stay informed and confident throughout the project.

Seamless team integration

Our LLM development services speed up project progress by providing upskilled teams. Whether for long-term or short-term contracts, we supply resources already familiar with your internal tech stack and tools, so you can scale without slowing down.

Our AI Tech Stack for Building Future-Proof LLMs

Using the right technology is key to providing clean, custom LLM development services. Our versatile tech stack lets us serve different industries and ship a wide variety of AI solutions without compromising quality.

ML Algorithms and Approaches

  • AI Agents

  • RAG

  • LLMs

  • NLP (Text Classification, Sentiment Analysis, Text Summarization, Text Generation, etc.)

Databases & Data Storage

  • PostgreSQL

  • MySQL

  • SQLite

  • MongoDB

  • Redis

  • Vector DB: Pinecone, Weavite, Qdrant

Languages

  • Python

  • SQL

  • C++

Data Science Libraries & Tools

  • Pandas

  • NumPy

  • Polars

  • Dask

  • Matplotlib

  • Seaborn

  • Statsmodels

  • Prophet

  • ARIMA/SARIMA

AI Frameworks

  • LangChain

  • LlamaIndex

  • LangSmith

  • Transformers

  • SentenceTransformers

  • PEFT

  • OpenAI API

  • Azure OpenAI API

  • Anthropic Claude/Mistral/Google Gemini APIs

AI Tools

  • PyCharm

  • DataSpell

  • Jupyter Lab/Notebook

  • Google Colab

  • AWS Sagemaker

ML Environment & Packaging Tools

  • Docker

  • Conda

  • Poetry/pip

  • DVC (Data Version Control)

  • Git

MLOps & Deployment

  • FastAPI

  • Streamlit/Gradio

  • Docker

  • AWS

  • AWS SageMaker Pipelines

  • Azure

  • Weight & Biases

  • Neptune.ai

  • MLflow

  • DVC

  • Supervisely

  • GitHub Actions

  • CI/CD

  • Sentry

Insights from Our AI Experts

Read about the latest insights on LLM development straight from our AI experts. Explore the ins and outs of AI/ML to stay informed, make smarter product decisions, and learn how to leverage LLM development solutions for long-term success.

FAQ

Not sure where to start with LLM development services? We’ve answered some of the most common questions businesses ask before building LLMs:

Can you integrate LLMs into our on-prem or hybrid infrastructure?

Yes. Our LLM development solutions support a variety of infrastructures, including on-premises, hybrid, and cloud environments. We work closely with your team to develop the best integration strategy that meets your security, performance, and compliance requirements while ensuring seamless operation within your existing systems.

What’s your approach to optimizing LLMs for cost, performance, and scalability?

To optimize cost, performance, and scalability, we selectively fine-tune models based on your specific product needs. We adjust model precision, size, and deployment configurations to balance efficiency and effectiveness. This approach ensures your LLMs run cost-efficiently, even in resource-constrained environments, while maintaining high-quality outputs tailored to your use cases.

How do you handle sensitive or regulated data during model training and inference?

At Uptech, we uphold strict data management protocols to protect sensitive information, including data anonymization, encryption, and role-based access controls. As a trusted LLM development company, we ensure all models comply with relevant regulations such as HIPAA, GDPR, and other regional requirements. We also implement secure environments for training and inference to minimize risks and maintain data privacy throughout the AI lifecycle.

What type of internal data do you need from us to fine-tune a model?

To fine-tune a model, we require relevant internal data aligned with your product goals. This may include documentation, manuals, product content, historical user data, and support tickets. Our team will evaluate and preprocess your data to ensure it is properly formatted and ready for effective model training.

Can you help us evaluate whether our use case actually requires a custom LLM?

Absolutely. We start our collaboration with thoroughly assessing your business goals, challenges, and existing workflows. Based on this analysis, we will determine if a custom LLM is the best solution or if alternatives such as fine-tuning a base model or using off-the-shelf AI tools might better meet your needs. Our goal is to recommend the most effective and efficient approach for your specific use case.

How long does it take to develop a custom LLM solution?

The timeline for custom LLM development typically ranges from a few weeks to several months, depending on your product’s complexity, data availability, and specific requirements. To help you validate your product’s direction early, we often deliver working proofs of concept (PoCs) within a few weeks. This approach allows for early feedback and iterative improvements before full-scale development.

Ready to Turn AI Into ROI?

Connect with us to transform your LLM solutions into real-world applications that harness the power of your data.

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Uptech is a trusted software development company

200+

projects delivered

4.9

review rating on Clutch

12

countries client coverage

6

industry sectors

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Uptech is a top-rated app development company. Over 8 years of work we've helped over 200+ companies to build successful mobile and web apps.

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