Relevant is a trusted machine learning consulting company that offers machine learning consulting and deployment, as well as assistance with your ongoing AI projects. Leverage our knowledge of data science and machine learning to solve business problems in a more intelligent way using data mining, forecasting, and similar powerful tools.
AI adoption without a defined strategy is a quick path to wasted potential and budget. To make ML-based software purposeful and impactful, our ML consulting team determines how machine learning fits into your business, prioritizes its uses, and develops a practical plan to integrate ML into your operations. We ensure your ML initiatives drive real business value with measurable outcomes.
Successful ML projects start with a solid strategy that guides the following steps and decisions. Our machine learning consulting services help you understand where ML technology can create the most impact and map out a clear path to realizing your business goals. Expert support at this initial stage saves you time, resources, and costly missteps.
A machine learning system is only as good as the data behind it. We take your unstructured data, clean, organize, and enrich it to make it ready to use for your AI models. The benefit of delegating data preparation to a machine learning consulting company like Relevant is getting AI-ready data faster, with zero compromise on quality.
If you want your ML models to perform reliably at scale, the adoption of MLOps practices is what you need, and our machine learning consulting allows you to do it effortlessly. We structure your AI workflows, automate deployments, and enable performance monitoring and continuous maintenance, which all together guarantee the reliability and stable performance of your ML solutions.
Development and customization of pre-trained ML models (GPT, BERT, Llama 2, and others) to the specific needs of your domain and business requirements are part of our machine learning consulting offerings. Working on your ML systems, we use advanced techniques to ensure they are accurate, context-aware, and cope with the tasks they are intended to perform.
ML solutions should integrate seamlessly into your workflows; otherwise, they won’t deliver value or meet your expectations. Our machine learning consulting company possesses the tools, people, and expertise to embed intelligent systems into your existing software without disrupting your current operations or productivity. With us, ML becomes an effortless part of your strategic toolkit.
Your challenges are unique, and your ML models should be, too. We design custom machine learning systems that perfectly support your goals with every single data point. ML-powered fraud detection, predictive forecasting, or recommendation engines, we can create different models. Our machine learning consulting services let you drive measurable impact for your business through custom AI development.
For your machine learning models to stay accurate and reliable over time, they require regular updates and monitoring. If you don’t have corresponding specialists in-house, you can always choose our ML consulting services to access expert support for model maintenance and monitoring. We track performance, resolve bottlenecks, and handle changes in datasets so your systems consistently deliver top results.
You can take advantage of powerful enterprise-grade ML solutions without investing time and money in building your own. Machine Learning as a Service that we offer as part of our machine learning consulting services provides ready-to-use solutions that include expert-built models, quality online support, and everything in between. It’s an easy way to expand your AI capabilities.
Too much data and no clue where to start? We organize, clean, structure, and prepare data for your ML model to easily consume, learn, and produce accurate outcomes. Our machine learning consultants help you make sense of your data.
Building ML models comes with its set of challenges, which we help to solve through our machine learning consulting services. We have the necessary expertise to let you skip the confusion and get straight to impactful, efficient AI solutions.
Worried that AI will disrupt your current setup? We make sure it doesn’t. Our ML consulting experts seamlessly integrate machine learning solutions into your existing systems, enhancing functionality without the headaches of compatibility issues or workflow disruptions.
An ML project trained with poor-quality data leads to similarly flawed decisions. To help you avoid such pitfalls, our machine learning consulting company cleans, enriches, and structures your data to ensure it’s ready for high-performing machine learning models.
An ML system that can’t scale is a wasted investment. We design machine learning solutions that adapt easily to increasing data, users, or demands. Scalable, reliable, and future-ready, the systems we build support your business at every stage of growth.
The speed at which you launch a new product matters a lot, yet it’s easy to lose quality when under pressure. Leverage our machine learning consulting to speed up development time, adopt best practices, and get expert recommendations.
AI models must deliver consistent, precise outcomes over time. We review and refine AI systems to ensure they deliver accurate and efficient results. By identifying weaknesses, we ensure tools operate at peak performance and meet business expectations consistently.
Since ML algorithms don’t stop learning, they demand constant attention to perform at their best. In this effort, you can rely on our ML consulting professionals, who will monitor model performance and apply updates to keep it in top shape.
Enable your ML system to process visual data with the support of Relevant specialists with experience in implementing computer vision technology. We can create algorithms for object labeling, visual sensing, gesture or face recognition, and more
We help companies find hidden patterns, trends, and connections in their massive sets of data to drive better and more informed decision-making. With our machine learning consultancy, your data stops being overwhelming and starts being useful
Machine learning consulting company like Relevant lets businesses take advantage of NLP-driven solutions like digital assistants, smart search, spam detection, machine translation, and similar. We use NLP to deliver smarter automation for your operations
Relevant developers are proficient in creating custom platforms that leverage generative AI technology for automating creative processes (content or image generation), enhancing user experiences, or solving complex business challenges more efficiently and cost-effectively
Every task and workflow that can be automated with RPA is an opportunity to save time, reduce errors, and increase productivity. We design custom RPA solutions that deliver cost-effective automation and impactful improvements across your operations
We create BI tools that make data easier to understand and use for any of your business purposes. Information gathering, interpretation, and visualization are all streamlined to make data analysis more intuitive and effortless.
Our machine learning consulting team helps you map data, transform, process, and visualize it to turn your big data and external resources into sources of insights to guide decisions and fuel business growth.
We configure business intelligence tools with AI capabilities, delivering sharper analytics, enhanced reporting accuracy, and actionable insights for strategic decisions across business departments.
We embed AI-driven tools to evaluate risks in real-time, safeguard operations, ensure compliance, and proactively address financial and security vulnerabilities.
We integrate AI systems that analyze data, evaluate scenarios, and offer recommendations to support leadership in making precise, informed business decisions confidently.
Leverage our expertise in AI consulting to drive innovation, optimize processes, and deliver tailored solutions that meet your unique business needs.
Leverage our full-stack expertise without relying on freelancers or third parties because all our specialists are in-house. Cooperating with Relevant, our clients benefit from smoother collaboration, faster communication, greater control over the project, and a dedicated team fully aligned with their goals for consistent, high-quality results.
From TensorFlow to PyTorch and beyond, we speak the language of 50+ technologies, so you’re not tied to one-size-fits-all solutions. Our developers know how to blend the right frameworks and techniques to fit perfectly the requirements and needs of your ML project. No shortcuts when it comes to technology.
Gain access to a team of expert ML developers who are fluent in English and committed to excellence. Our team features the top 1% of tech talents due to our rigorous vetting process that selects only the most skilled and experienced professionals who combine technical brilliance with good communication abilities.
With 200 successful collaborations, including Fortune 500 companies, we’re proven partners you can trust. Over 100 active clients across ten industries and a 98% client retention rate show that businesses stay with us because we deliver consistent results, foster long-term relationships, and provide solutions that drive real, measurable impact.
We respect the deadlines and keep a sharp focus on your budget. That’s why we employ solid management practices and agile approaches that let us efficiently control the project scope and resources. You can rely on the Relevant team to get quality ML solutions on time, every time.
High turnover kills momentum, but we’ve cracked the code. Nearly 80% of our engineers stick with us long-term, ensuring you benefit from stable, focused teams that bring knowledge, reliability, and dedication to every stage of your ML journey. Take advantage of our commitment to sustainable results.
We begin our collaboration with a meeting to define your goals and identify opportunities for ML-driven solutions.
Our experts evaluate your data quality and relevance, determining the feasibility of your ML project and whether it’s the right fit for your needs.
We translate your business requirements into specific problems and design tailored ML solutions that align with your workflows and deliver value where it matters most.
Our ML development team builds prototypes, develops and refines models to find the optimal solution, and carefully tests them in real-world scenarios.
We map out how to integrate ML solutions seamlessly into your existing systems and plan for a smooth, disruption-free deployment.
Since ML projects require ongoing care, our dedicated team monitors their performance and fine-tunes models to keep them efficient, accurate, and aligned with your goals.
We implement performance reviews, fine-tune algorithms, and adapt the solution to meet changing demands and dynamic business objectives.
The very first step starts with getting to know your business goals—what you want to achieve through ML implementation and why it matters. We then examine your data to see if it’s ready for ML and what’s possible with it. Next, we frame the problem, craft a solution, and build prototypes to test its performance. If your ML system works as it was intended, we plan for smooth integration and continuous optimization.
It all depends on your business goals and data volume. At a basic level, you’ll need a reliable way to collect, store, and organize data. For larger-scale projects, cloud storage, data pipelines, and processing frameworks like Hadoop or Spark can help. What’s important is ensuring your data is accessible, clean, and ready to be used (structured and properly formatted). Don’t stress—our team can guide you in setting up exactly what you need!
Thorough testing, validation, and continuous performance monitoring are the main pillars of quality ML systems. We use cross-validation and hyperparameter tuning practices to prepare data for model training to ensure the ML’s accuracy and reliability. We also have testing frameworks in place to see how they behave in real-world scenarios to catch and fix potential issues early. Our team continues to maintain your ML model after deployment and make corrections if needed.
It varies, but most ML projects take 3 to 6 months from start to deployment. The key factors that impact the timeline are data quality, project complexity, and your specific integration requirements. A smaller project might wrap up faster, while advanced solutions may need more time for testing and optimization. The good news? We keep you updated every step of the way so you can expect smooth project progress and realistic timelines that align with your goals.
Yes, that’s one of our main ML consulting services. We use REST APIs, microservices, cloud-based deployment strategies, or a combination of several to ensure smooth integration with your existing systems. Whether you’re working with older systems or newer platforms, we guarantee everything fits together seamlessly and meets your requirements. We’ll fine-tune the models to work with your tools and deliver real value.
Before you go — our clients cut delivery costs by up to 40% and launch products twice as fast.
