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MLOps Company Blackthorn AI: Expert Services for Your ML Needs

MLOps services eliminate manual toil and mistakes when handling multiple versions of data preprocessing and feature engineering pipelines. They also manage datasets, respective train/validation/inference source code, and models by automation and high-level orchestration.

100 +

Projects

400 +

Publications

Book A Meeting
Contact Us

MLOps Company Blackthorn AI: Expert Services for Your ML Needs

MLOps services eliminate manual toil and mistakes when handling multiple versions of data preprocessing and feature engineering pipelines. They also manage datasets, respective train/validation/inference source code, and models by automation and high-level orchestration.

100 +

Projects

400 +

Publications

Book A Meeting
Contact Us

MLOps Engineering Services

Our MLOps managed services focus on eliminating manual effort and reducing risks across machine learning operations. We automate workflows, manage deployments, and connect pipelines to help businesses save time and stay consistent in their ML practices.

Automated Machine Learning Workflows

We take care of repetitive tasks like data preprocessing and feature engineering. By automating these workflows, your team can focus on building better models. Think of it as setting up a machine that keeps running without you babysitting every step.


Version Control for ML Models

Keeping track of your models, datasets, and experiments doesn’t have to be chaotic. We implement version control systems that document every change, making it easier to trace results and reuse work without starting from scratch.


CI/CD Pipelines for Machine Learning

Move models from testing to production without bottlenecks. Our CI/CD pipelines automate validations and run the necessary checks to make deployments faster and more reliable, so you don’t get stuck in endless manual reviews.


Automation of Model Deployment

Deploying models shouldn’t feel like guesswork. We set up workflows that handle everything – from initial testing to live production rollouts. Features like canary deployments reduce risks and help avoid unpleasant surprises post-launch.


A/B Testing for Machine Learning Models

Test new models without disrupting what’s already running. Our A/B testing setups let you compare performance in real-world conditions. This way, you can pick the winner based on data, not assumptions, and keep your operations running smoothly.


Continuous Training for ML Models

Data evolves, and your models should too. We build continuous training pipelines that retrain models as new data comes in. This approach keeps your predictions relevant and reduces the risk of outdated insights creeping into decisions.


Model Monitoring and Explainability

Once a model is live, keeping an eye on its performance is critical. We set up monitoring tools that track accuracy and detect drifts. On top of that, we add explainability layers so you can understand what’s driving the decisions your model makes.


Model Governance

ML models come with responsibilities. We implement governance frameworks that track where your data comes from, how features are engineered, and which versions of a model are in use. This keeps things transparent and compliant with industry standards.


Monitoring and Observability

Know exactly how your ML systems are behaving at all times. From CPU usage to accuracy metrics, we give you a clear view of your system’s health. Real-time alerts ensure you’re the first to know if something’s off.


Connected DataOps and MLOps Pipelines

DataOps and MLOps don’t have to work in silos. We connect these pipelines, creating a system where data flows smoothly into ML workflows. This integration proactively tackles bottlenecks and speeds up the path from raw data to actionable insights.


Orchestrated ML Experiments

Running multiple experiments shouldn’t feel like juggling. We automate and organize your ML trials, logging every tweak and result. This way, you can compare outcomes without second-guessing which hyperparameter delivered the best performance.


MLOps Strategy and Consulting

Our MLOps consulting services focus on building strategies that work for your business. Whether it’s optimizing your existing workflows or starting from scratch, we create practical roadmaps to make your ML operations efficient and effective.


Security and Governance in MLOps

Machine learning opens doors, but it also creates risks. We implement security measures like access control and encrypted storage to protect your data and models. Governance frameworks keep everything auditable and aligned with compliance standards.


MLOps Ecosystem Integration

Your tools should work together, not against you. We integrate popular platforms like TensorFlow and Kubernetes into your MLOps ecosystem. This approach ensures every component of your workflow speaks the same language and works as one cohesive unit.


Domain Expertise We Bring

With deep AI & ML expertise, we address industry-specific challenges through reliable, fast solutions. Having worked extensively in these industries, we speak your language, understanding unique needs and delivering value-driven MLOps services focused on your domain.

About Blackthorn AI

Blackthorn AI is an MLOps company with 10+ years of experience and 50+ successful projects to its name. Our goal is to build long-term, win-win partnerships, not sell hours or make empty promises.

Founded by ML architects and MSc or Ph.D. scientists, our team loves solving complex challenges, optimizing neural networks, and achieving top-tier performance.

Our approach is rooted in measurable results, from end-to-end project management to guarantees tied to baseline metrics.

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4.2
years average customers engagement
50 +
world-class engineers
10 +
years full-cycle development experience
50 +
AI & Data projects delivered over the last 3 years

Our Awards & Certifications

To deliver excellent MLOps services, we’ve mastered technologies like TensorFlow Extended, Focker, Kubernetes, MLflow, AWS, GCP, DVC, and Azure, among others. But there’s more – our certifications and awards prove that our work leaves no room for mistakes or downtime, ensuring every solution is rock-solid and professional.

Top AI Deployment Company

Clutch, 2025

Professional Data Engineer

Data Engineer

Google Cloud Certified Professional

Top Web Developers

Clutch, 2025

Associate_Cloud_DevOps_Engineer_vshr

Cloud DevOps Engineer

Google Cloud Certified Professional

Top Artificial Intelligence Company

Top Artificial Intelligence Company

Clutch, 2024

Associate Cloud Engineer

Cloud Engineer

Google Cloud Certified Associate

Top Generative AI Company

Top Generative AI Company

Clutch, 2024

AWS Architect

Solutions Architect

AWS Certified Associate

top clutch.co artificial intelligence company 2024 award

Top Global AI Company

Clutch, 2024

AWS_developer

Software Developer

AWS Certified Associate

top clutch.co computer vision company 2024 award

Top Computer Vision Company

Clutch, 2024

Oracle_Professional_Badge__1

Java SE 8 Programmer

Oracle Certified Professional

top_clutch.co_computer_vision_company_2024

Top Computer Vision Company

Clutch, 2024

Oracle_Associates_Badge__1

Java SE 8 Programmer

Oracle Certified Associate

Python_silver_2_small

Python Programming

PCAP Certified Associate

TensorFlow_badge

TensorFlow Developer

TensorFlow Certified

Straight
to
business?

Get a Consultation from an Expert Professional

Alex Gurbych

CEO, Chief Solutions Architect

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What Business Outcomes Delivers Reliable MLOps Engineering

If your team works on multiple DS/AI directions and/or approaches, it will face the chaos of versions of data preprocessing, datasets, features, and models in no time. You will also be surprised to discover that Data Scientists are not as good as you want them to be at infrastructure works.
MLOps engineering services is a long-term investment with the following benefits:

Fast Iterations with Automated Workflows

  • We make experiments fast and frustration-free.

  • No need to rewrite Python, Java, or R code every time.

  • Once workflows for training and validation are set up, you can toggle hyperparameters and automate processes – saving time and energy.

Flexible Scaling for Computational Resources

  • High-demand periods don’t have to mean high bills.

  • We automate resource scaling to meet your needs without wasting budget.

  • From GPUs that shut down automatically to optimized cloud usage, with our MLOps services you’ll only pay for what’s needed.

Consistent Results Tracking

  • Experiment tracking shouldn’t depend on memory.

  • We log hyperparameters, validation results, and key metrics automatically.

  • This creates a clear, reliable history of every experiment – no more guesswork or missed details.

Risk Mitigation and Deployment

  • Our MLOps engineers eliminate mistakes by automating deployments, detecting input drift, and comparing new models to old ones.

  • With built-in monitoring and feedback loops, your models adapt to real-world conditions without manual intervention.

MLOps Projects Successfully Delivered by Our Team

Explore our MLOps managed services in action. From a Llama3-powered AI agent for HIPAA-compliant medical file retrieval to a Multi-Omics GenAI platform for drug discovery, our projects deliver real impact. See how we’ve transformed industries like healthcare, oil & gas, fintech, and more.

LLM for Information Retrieval from Medical Files

AI

Multi-Omics GenAI Platform

AI Software Development

A Framework for Automatic Bundling Machine Learning Microservices

CLI and Python package Development

Intelligent Documents Processing

Computer Vision

Automated Trading System

AI

Predicting Readmission Risks

Decision Support
All Success Stories

What Clients Say Аbout Our Solutions

“The way Blackthorn AI stepped in and helped us revamp the model was excellent” – With a 5/5 Clutch rating, our clients praise our proactive communication, technical expertise, and commitment to deadlines. Explore how our solutions turn ideas into real results and build trust.

Yoanna
Gouchtchina

CEO, 
Skentechnologies LLC

All our needs were addressed in a very professional manner.

CEO, 
Skentechnologies LLC 5.0

Alejandro Gonzalez

Product manager, Monitoring Life

They always delivered on time and showed 100% transparency in the project development.

Product manager, Monitoring Life 5.0

Serhii 
Ivanets

CTO, VAN Group

Thanks to their open management style, they had an exceptional partnership that resulted in success.

CTO, VAN Group 5.0

Straight
to
business?

Get a Consultation from an Expert Professional

Alex Gurbych

CEO, Chief Solutions Architect

Book a Meeting
Let’s chat!

Clients Also Ask

Our MLOps company can help prevent performance degradation by monitoring track technical metrics like CPU usage and performance indicators like accuracy. Feedback from production is recorded and used to detect degradation, triggering updates via retraining or feature adjustments, keeping the model relevant without manual intervention.
MLOps automates data exploration, feature engineering, and hyperparameter tracking. It ensures models are evaluated on real-world approximations, aligning metrics with expectations, and facilitates effortless selection of the best-performing model for deployment.
MLOps services prevent chaos caused by managing multiple versions of preprocessing pipelines, datasets, and models. It automates workflows, helping data scientists avoid infrastructure pitfalls, like setting up Kubernetes, while ensuring consistent and reliable outputs.
Key deliverables include a data warehouse groomed for AI, the best-trained model ready for production, integrated ML services deployed to production, and automated feedback loops for continuous model improvement and performance tracking.
MLOps consulting services can help you automate the scaling and shutting down of computational resources, preventing wasteful spending on idle GPU instances. It ensures resources are available when needed while avoiding unnecessary costs during off-peak hours or forgotten deployments.