Why Uptech?

25+

AI Solutions delivered

5

In-House AI products

3+years of expertise

working with GenAI models and LLMs

POCin2 months

Feasibility assessment and AI strategy included

GDPR, HIPAA, AI ACT

Compliance with data privacy and security laws

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LLMOps Services Designed for You

LLM Deployment
and Maintenance

Deploy large language models and applications on cloud or hybrid infrastructures with support for top LLMOps platforms. Benefit from clear version control, timely updates, and continuous monitoring. We fine-tune models to meet your specific performance and scalability needs.

Prompt Engineering and Management

We build and manage prompts using the latest LLMOps frameworks. We know that well-crafted prompts are essential to unlocking the full potential of large language models. Our experts prioritize consistency, reliability, and versioning to ensure your LLMs perform at their peak.

Monitoring &
Observability

Gain real-time insights into your LLMs’ behavior in production with advanced LLMOps monitoring tools. We provide observability through automated alerts, response time tracking, and detailed log analysis to ensure your AI systems remain robust and reliable.

Security &
Governance

Uptech ensures your LLM workflows follow the latest security and governance best practices. We help you maintain up-to-date LLMOps protocols and ensure your workflows enforce policies that comply with strict standards. Protect your data and reduce risks with our expert support.

LLM CI/CD &
Cost Optimization

We build and optimize your LLMOps pipelines with CI/CD automation to streamline critical processes such as testing, deployment, and post-production fine-tuning for continuous improvement. Our LLMOps engineers also focus on optimizing resource use, boosting performance, and maximizing your ROI.

Safety
Guardrails

Deploy LLMs aligned with your brand values using Uptech’s comprehensive safety guardrails. Our experts implement robust safety measures, including content moderation, bias mitigation, and advanced filters to ensure data privacy, security, and responsible AI use.

Vector DB & RAG Pipeline Management

Uptech integrates vector databases into your Retrieval-Augmented Generation (RAG) pipelines to ensure low-latency, high-accuracy retrieval. We manage the full LLMOps stack to support reliable, production-grade search and retrieval performance.

Experiment Tracking
(LLM-aware)

Implement LLMOps database tools for automated experiment tracking and management. We help you log model parameters, prompt variations, behaviors, and outputs to interpret results, replicate successes, and drive continuous model improvements with data-driven insights.

Oleh Komenchuk

ML Department Lead

Need to run your LLM reliably, securely, and cost-efficiently? I’m here to help.

Let’s discuss your needs

Let’s discuss your needs

Selected LLM and AI Projects By Uptech

Angler AI

AI-Based Platform for Customer Growth

Angler AI turns customer data into growth. We partnered to design and develop a platform that uses AI to segment audiences, optimize campaigns, and help brands see the real ROI of their marketing efforts.

View Case Study

View Case Study

Dyvo.ai for Business

Studio-Quality Product Photos with AI

Dyvo.ai for Business turns product photos into scroll-stopping visuals. With AI-generated backgrounds and easy brand alignment, it cuts out the need for manual design and boosts brands’ go-to-market strategies.

View Case Study

View Case Study

Presidio Investors

Financial AI-Based Agent

Presidio Investors helps individuals and businesses make smarter investment decisions through data-driven insights. Together we automated their financial data workflows with AI, reducing manual work and boosting team efficiency.

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

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Why Uptech’s LLMOps Services?

At Uptech, our LLMOps services are designed for scalability, compliance, and precision, with pipelines customized to your unique workflows, tech stack, and performance goals. Our experts are trained to deliver results across prompt engineering, cost control, security, and more:

Seamless, Scalable
deployment

Ensure seamless deployment and maintenance of your LLM applications on cloud or hybrid platforms. Our services provide robust version control, regular quality updates, and in-field fine-tuning so your models deliver consistent, high-performance results at every stage.

Maximum ROI Through
Smart Optimization

Minimize operational costs with strategic model selection and advanced fine-tuning. Our LLMOps approach strikes the perfect balance between performance and efficiency to maximize return on investment and scalability without compromising reliability.

Full
Transparency

Gain real-time insights into your LLMs with comprehensive tools for tracking response times, analyzing logs, accessing alerts, and diagnosing issues. We ensure complete observability to keep your operations smooth and optimize models based on performance data.

Consistent, Accurate AI
Output

Enhance LLM output consistency and accuracy by expertly managing, optimizing, and versioning prompts. This ensures consistent, accurate, and relevant AI outputs while unlocking your models’ full potential and supporting reproducibility and continuous improvement.

Trusted Security and
Governance

Protect your data and uphold trust with rigorous security protocols and policy enforcement. With experience supporting highly regulated sectors such as Fintech and Healthcare, our team ensures compliance and keeps your AI systems secure and audit-ready.

Smarter Models Through
Continuous Learning

Use automated experiment tracking and logging to evaluate model performance, replicate successful outcomes, and implement ongoing enhancements. This feedback-driven cycle refines your LLMs for greater accuracy, efficiency, and reliability over time.

LLMOps Tech Stack We Support

At Uptech, we enable seamless integration with the industry’s latest and most widely used LLMOps tools and frameworks. We support your workflows, whether you’re working with Databricks, AWS, LangChain, RAG, Kuberflow, vector databases, or more.

Languages & Databases

  • Python

  • Vector DB: Pinecone, Weavite, Qdrant

ML Frameworks

  • LangChain

  • LlamaIndex

  • LangSmith

  • Transformers

  • SentenceTransformers

  • PEFT

  • OpenAI API

  • Azure OpenAI API

  • Anthropic Claude/Mistral/Google Gemini APIs

MLOps & Deployment

  • FastAPI

  • Docker

  • CUDA

  • AWS

  • AWS SageMaker Pipelines

  • Azure

  • Weight & Biases

  • GitHub Actions

  • CI/CD

  • Sentry

Our Latest AI & LLMOps Insights

Stay at the forefront of the generative AI landscape with expert insights into Gen AI and LLMOps in action. Explore the latest trends, key challenges, and practical strategies designed to help you build resilient, scalable, and future-proof AI systems with Uptech’s guidance.

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FAQ

Answers to questions you may have about LLMOps services.

What is LLMOps and why does it matter?

LLMOps refers to the practices, tools, and processes used to manage the end-to-end lifecycle of Large Language Models. This includes deployment, monitoring, fine-tuning, and governance. LLMOps services ensure your models run reliably, securely, and at scale in production environments.

Can you integrate with our existing ML pipelines?

Yes. Our LLMOps engineers evaluate your current ML infrastructure to integrate LLM capabilities without disrupting your pipeline. We adapt to your tech stack and organizational needs.

What types of models do you support?

We support most foundation and fine-tuned models available today, such as OpenAI and Claude. We also support open-source models like Mistral, Llama, or Qwen.

How do you ensure data privacy for my LLM?

Uptech’s LLMOps services follow strict security and compliance protocols, including GDPR and HIPAA. We encrypt data in transit and at rest, and enable secure logging and access controls throughout your LLMOps architecture.

How long does it take to provide LLMOPs services?

The timeline depends on project scope and your existing LLMOps stack. That said, some clients see results in as little as one month, with ongoing improvements delivered through continuous optimization.

Ready for a Smooth-Running LLMOps Workflow?

Book a consultation with our experts today. We’ll evaluate your current setup and provide you with tailored strategies to boost model performance and reliability.

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