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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MLOps Services We Provide

Experiment Tracking &
Metadata Management

Set up comprehensive experiment tracking systems and metadata logging with our MLOps service. Each iteration documents model versions, parameters, configurations, and results to enable better collaboration and audit-ready workflows for smarter model improvements.

CI/CD/CT Pipelines
for ML

Ship ML models faster and more securely with automated CI/CD/CT pipelines from Uptech. Our ML experts bring years of experience in integrated testing, validation, deployment, and continuous training to streamline your product delivery and ensure reliability at scale.

Model
Governance

Develop robust models with governance tools that ensure transparency, auditability, and compliance with regulatory standards. Our MLOps agency tests, validates, and monitors ML products to manage risk, meet industry requirements, and promote responsible AI practices.

LLMOps & Gen-AI
Enablement

Empower your business with production-ready generative AI and large language model (LLM) apps deployed through pipelines designed to scale operations. We apply rigorous practices to operationalize AI/ML for use cases such as retrieval-augmented generation (RAG) models.

Unified DevOps &
MLOps Workflows

Combine DevOps and MLOps to build a seamless end-to-end pipeline that ensures efficient delivery and simplifies maintenance. Our MLOps development services help your business integrate DevOps and MLOps practices to eliminate redundancies in tools and resources.

Data Annotation /
Labeling Pipeline Integration

Speed up model deployment with comprehensive data annotation and labeling pipelines. Pinpoint tasks for automated labeling while using human feedback loops to ensure data quality. This reduces errors, enhances training data, and supports ongoing model improvement.

Continuous
Training

Keep ML models up to date, compliant, and accurate with our continuous training workflows. Our MLOps managed services monitor data and models, updating them based on your evolving business needs. We also integrate automated retraining and deployment whenever possible.

Data Quality &
Validation

Validate every batch and stream with automated profiling, enforced schemas, and anomaly detection. This prevents corrupt or out-of-spec data from reaching training or inference, safeguarding model accuracy and regulatory compliance.

Cost-Optimization
Management

Optimize cloud and on-prem compute through dynamic rightsizing, spot-instance orchestration, and smart GPU scheduling. The outcome is lower resource waste and more headroom for higher-value experiments.

Real-Time Monitoring &
Drift Detection

Detect concept, data, and performance drift the moment it appears using streaming metrics and statistical tests. Automated alerts and safe rollbacks keep models accurate, stable, and user experience intact.

Oleh Komenchuk

ML Department Lead

Get in touch with our team to streamline your ML workflows

Get a free consultation

Get a free consultation

MlOps Projects by Uptech

AboardAI

Your Personal AI Flight Assistant

AboardAI is an iOS app that analyzes real-time flight data to provide meaningful insights to pilots. Using machine learning, it detects flight phases, monitors flap positions, and transcribes cockpit speech. We designed a clear interface to help pilots operate safely and accurately.

Presidio Investors

AI-Powered Investment Data Automation

We developed an AI solution for Presidio Investors to automate investment data analysis and CRM uploads. The system extracts insights from emails and attachments, structures them in JSON, and reduces manual work by 80 percent, enabling the team to process up to 100 deals a day.

View Case Study

View Case Study

Angler AI

AI-powered Customer Growth Platform

We built a web-based SaaS platform that helps businesses improve customer acquisition with AI-generated audiences and campaign analytics. The app integrates audience creation, campaign deployment, and performance validation to make marketing smarter and more precise.

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

MLOps Services & Solutions for Your Industry

Discover how our MLOps services & consultancy deliver real-world results through workflow automation and advanced data infrastructure. Our experts build production-ready pipelines for industries such as fintech, healthcare, e-commerce, and more.

Fintech

Develop secure, compliant, scalable machine learning pipelines for fintech. We help financial institutions improve fraud detection, credit scoring, risk management, and analytics. Our MLOps services ensure models remain explainable, auditable, and aligned with regulatory standards.

Healthcare

Support healthcare providers with automated deployment and continuous monitoring of models for diagnostics, patient risk prediction, and personalized treatment plans. We prioritize data privacy, HIPAA and GDPR compliance, and reliable performance in critical environments.

E-commerce

Enhance customer experience and operational efficiency through scalable ML workflows that power personalized recommendations, dynamic pricing, and inventory forecasting. Our solutions adapt seamlessly to the fast-changing demands of your business.

Logistics

Optimize logistics with MLOps pipelines that improve demand forecasting, route planning, and supply chain visibility. We help reduce delivery times and costs by integrating real-time data. We also support dynamic rerouting and better inventory management to streamline operations.

Delivery

Our MLOps experts help boost delivery speed and accuracy. We build and automate predictive models for demand planning, fleet management, and route optimization. With continuous training and updates, your systems stay responsive to changing market and traffic conditions.

Travel & Hospitality

Transform guest experience and streamline operations using AI-driven solutions. Our experts enable personalized offers, dynamic pricing, demand forecasting, and efficient resource allocation while keeping your models accurate and compliant amid industry fluctuations.

Real Estate

Improve property valuation, market analysis, and customer targeting with explainable MLOps pipelines. We ensure compliance with local regulations and data privacy while providing real-time updates, scalable deployment, and integration for smarter decisions.

Insurance

Uptech helps insurers automate claims processing, risk assessment, and fraud detection with robust, compliant ML models. Our services include continuous monitoring, auditing, and retraining to maintain fairness, meet regulatory standards and boost customer satisfaction.

Trading

Maintain a competitive edge with real-time automated MLOps workflows powering algorithmic trading, risk management, and market prediction models. At Uptech, we deliver ultra-low latency, scalability, and reliability to help you respond swiftly to market fluctuations.

OUR Process

01

Discovery & Readiness Audit

We start with a full audit of your ML workflows, data infrastructure, and tools to assess your maturity level. Our team evaluates data quality, pipeline reliability, and your team’s MLOps readiness. We identify gaps, risks, and opportunities for improvement. Using these insights, we develop a custom MLOps roadmap aligned with your goals and industry requirements.

02

Data & Feature Foundations

Our MLOps SaaS team builds robust data pipelines and engineers high-quality features to boost model accuracy. We clean, normalize, and validate datasets to eliminate inconsistencies and biases, preparing them for scalable training and stable model behavior. This foundation ensures reliable results and sets the stage for efficient, dependable ML deployment.

03

Rapid Experimentation & Tracking

We conduct rapid experiments across multiple model architectures, datasets, and hyperparameter configurations to pinpoint the best-performing solutions for your business needs. Our team meticulously logs all experiment results, including metrics and metadata, for easy comparison, thorough auditing, and faster model development without guesswork.

04

Automated CI/CD/CT Pipelines

Our MLOps experts streamline your ML lifecycle to accelerate time-to-production. We automate continuous integration (CI), continuous delivery/deployment (CD), and continuous training (CT) pipelines that include code integration, model testing, and deployment. This automation reduces manual errors, ensures consistent quality, and enables smoother, more reliable ML iterations.

05

Flexible Deployment & Release Engineering

We deploy ML models into your environment whether on cloud, on-premise, or hybrid, based on what best suits your requirements. Our flexible deployment approach supports phased rollouts, A/B testing, and blue-green deployments to minimize downtime and risk. We ensure seamless integration with your infrastructure and apply scalable release strategies for your use case.

06

Monitoring, Drift Detection & Auto-Retraining

After deployment, we continuously monitor your models’ behavior and performance. If data drift or degradation appears, we investigate root causes and trigger automated retraining pipelines to recalibrate models with fresh data. Our maintenance keeps models accurate, up-to-date, and aligned with changing data patterns, which reduces downtime and maintains business value

07

Governance, Security & Compliance

At this stage, our MLOps experts embed model governance, access control, and compliance frameworks across your ML workflow. We implement role-based access, audit trails, and version control to ensure transparency and accountability. Our solutions comply with GDPR, HIPAA, and industry regulations, especially in regulated sectors such as finance, insurance, and healthcare.

08

LLMOps Add-On

Our MLOps experts deliver end-to-end LLMOps support for businesses developing GenAI and LLM solutions. We specialize in diverse use cases, including designing and customizing RAG infrastructure, managing prompt engineering, and optimizing fine-tuning. Our services ensure scalable, secure, and efficient deployment of LLMs for real-world enterprise applications.

09

Unified DevOps & MLOps

We help bridge the gap between software engineering and data science in your organization. Our unified DevOps and MLOps services align workflows, standardize tools, and centralize monitoring to support consistent, automated pipelines. This approach enhances collaboration, improves delivery stability, reduces overhead, and drives faster, more reliable releases.

Why Work with Our MLOps Services Experts

We deliver scalable, secure, and compliant MLOps solutions designed to accelerate your machine learning initiatives. Discover the benefits of partnering with a trusted MLOps as a service provider like Uptech.

Faster 

Idea-to-Value

Uptech speeds up your ML development and deployment cycles through rapid experimentation and automated pipelines. This reduces manual bottlenecks, helps your business quickly validate ideas, iterate on models, and bring production-ready solutions to market faster.

Lower
Run-Time Costs

Optimize resource usage and reduce infrastructure spending with efficient deployment and scaling strategies. Our MLOps services enhance model monitoring and resource management to keep run-time costs predictable and under control without sacrificing performance.

Audit-Ready
Governance & Compliance

Deploy safe, ethical models with our governance tools and compliance frameworks. We help mitigate risks, prevent data leaks, enforce role-based access, and maintain audit trails. Our team ensures your ML solutions meet regulatory and privacy requirements with ease.

Production-Grade
Reliability

Maintain high-performing machine learning models long after deployment. We keep your ML solutions accurate and resilient by adapting to real-world conditions with automated monitoring, drift detection, and retraining systems that ensure production-grade reliability.

Our Tech Stack

ML Algorithms and Approaches

  • AI Agents

  • RAG

  • LLMs

  • Generative AI (Stable Diffusion, LoRA, kohya-ss, ComfyUI)

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

  • Computer Vision (Image Classification, Image Segmentation, Object Detection, OCR, etc.)

  • Autoencoders

  • GANs

  • Diffusion Models

  • Transformers

  • Neural Networks

  • Deep Learning

  • Probabilistic ML

  • Reinforcement Learning

  • Unsupervised Learning (Clustering, Outlier Detection, etc.)

  • Semi-Supervised Learning

  • Supervised Learning (Classification, Regression, etc.)

Data Science Libraries & Tools

  • Pandas

  • NumPy

  • Polars

  • Dask

  • Matplotlib

  • Seaborn

  • Statsmodels

  • Prophet

  • ARIMA/SARIMA

Databases & Data Storage

  • PostgreSQL

  • MySQL

  • SQLite

  • MongoDB

  • Redis

Languages

  • Python

  • SQL

  • C++

ML Frameworks

  • Scikit-learn

  • SciPy

  • Tensorflow & Keras

  • PyTorch

  • PyTorch Lightning

  • XGBoost/LightGBM

  • LangChain

  • LlamaIndex

  • Transformers

  • SentenceTransformers

  • PEFT

  • LoRA

  • Kohya-ss

  • ComfyUI

  • OpenAI API

  • Azure OpenAI API

  • Anthropic Claude/Mistral/Google Gemini APIs

ML 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

  • Azure

  • Weight & Biases

  • Neptune.ai

  • MLflow

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FAQ

Get expert answers on deploying ML models, building scalable systems, ensuring compliance, and maximizing ROI.

Our data science notebooks work fine—why invest in MLOps?

MLOps services help turn your data science notebooks from good to reproducible and scalable. With a solid MLOps workflow in place, your business can further shorten deployment cycles and reduce errors.

How long does a typical engagement take and what do we get first?

A typical engagement may take a couple of weeks for the initial readiness evaluation and roadmap development. From there, we set up CI/CD pipelines and begin experiment tracking based on the business goals you established.

We’re under strict regulations (GDPR, upcoming EU AI Act). Can you make us audit-ready?

Yes. Our experts build governance, access control, and audit logs into your existing ML workflows designed to meet compliance requirements as quickly as possible.

What’s the ROI—does MLOps really save money?

MLOps saves time and resources by minimizing failed deployments and downtime while reducing manual rework.

Can you handle Gen-AI and LLMOps use cases too?

Yes. Uptech offers full Gen-AI and LLMOps support, performing operations such as prompt orchestration, RAG infrastructure development, and fine-tuning of machine learning models.

Will this lock us into a specific cloud or tool stack?

No. Our MLOps specialists prioritize flexible workflows and use cloud-agnostic tools to ensure that your business stays in control.

Ready to upgrade your MLOps process?

Book a free consultation with our MLOps experts today. Scale smarter and get a tailored assessment to see exactly how you can improve your workflows.

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Uptech is a trusted software development company

200+

projects delivered

4.9

review rating on Clutch

12

countries client coverage

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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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