Unlock strategic advantage with self-learning, data-driven machine learning solutions that enhance decision-making and operational efficiency. From strategy to deployment, our ML consulting helps your organization operate smarter and grow with confidence.
Oleg Kalyta
Founder & AI Lead
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Test our team, no commitmentProof of Concept
Working prototype deliveredProduction Ready
Full AI solution deployed
End-to-end ML consulting services covering the entire machine learning lifecycle, from strategy to production.
We assess your business goals, customer requirements, and existing data to define where machine learning can deliver measurable impact. The outcome is a clear ML strategy aligned with corporate objectives and realistic implementation paths.
We define dataset requirements, evaluate data quality, and prepare reliable data pipelines. This includes data cleaning, preprocessing, and validation to ensure your machine learning models are built on a solid, accurate foundation.
We design end-to-end ML solutions, from selecting suitable algorithms to defining system architecture and development stages (PoC, MVP, production). This ensures your ML initiative is technically sound, scalable, and aligned with business needs.
We develop, train, and fine-tune machine learning models tailored to your use cases. Through rigorous testing and optimization, we turn raw data into intelligent solutions that support automation, prediction, and decision-making.
Your ML models are integrated into existing infrastructure and business workflows. We support deployment, CI/CD pipelines, version control, monitoring, and scalability to ensure reliable performance in production environments.
After deployment, we continuously monitor model performance, retrain when needed, and provide ongoing support. This keeps your machine learning solutions accurate, stable, and aligned with evolving business requirements over time.
Turn your data into a competitive advantage with machine learning solutions designed to achieve real business goals
Turn raw data into strategic intelligence.
We help you extract actionable insights from complex datasets, enabling smarter decisions across operations, finance, and customer engagement.
Automate decisions and workflows
Machine learning models automate repetitive processes, increasing speed, accuracy, and consistency while reducing manual effort.
Optimize operations with measurable impact.
From predictive analytics to intelligent automation, our ML solutions are designed to improve efficiency, reduce costs, and deliver clear business outcomes.
Built to scale with your business
Our custom machine learning solutions integrate seamlessly with existing systems and evolve as your data, processes, and business needs grow.
From custom models to production-ready MLOps, we cover the full spectrum of ML capabilities
We design and develop machine learning models for classification, regression, prediction, clustering, anomaly detection, and more. Using supervised, unsupervised, reinforcement, and hybrid learning approaches, our models are built to solve real business tasks and perform reliably in production.
Turn user and product data into personalized experiences. Our ML-powered recommendation systems analyze historical behavior and contextual signals to deliver accurate, relevant suggestions that improve engagement, conversion rates, and customer satisfaction.
We apply AI and ML to automate and enhance analytics across the entire data lifecycle. This enables teams to uncover patterns faster, generate actionable insights, and make data-driven decisions without relying solely on technical specialists.
Leverage AI technologies that work with unstructured data such as text, images, audio, and video. Using computer vision, natural language processing (NLP), speech recognition, and text analytics, we build cognitive solutions that support automation, insight discovery, and innovation.
We develop deep learning models that recognize complex patterns in large-scale datasets, including images, text, and audio. These models improve over time and support advanced use cases such as image recognition, predictive analytics, and natural language understanding, with cloud-based training for faster iteration.
Ensure consistent performance and governance of ML models in production. Our ModelOps approach supports automated monitoring, validation, compliance, and risk management, helping you maintain accuracy, reliability, and business value across all deployed models.
We select technologies that ensure ML solutions are accurate, scalable, and ready for real-world business use
OpenAI API
LangChain
Pinecone
LangGraph
Hugging Face
TensorFlow
Node.js
NestJS
Python
FastAPI
PostgreSQL
Redis
ReactReact Native
Next.js
Expo
TypeScript
AWS
Google Cloud
Docker
Kubernetes
GitHub ActionsTurn your data into strategic insight and automation that scales. Let's discuss your goals and build solutions that deliver real value.
Understand your business questions, available data, and operational context to define where ML can deliver the most value.
Rank potential ML projects based on ROI, feasibility, and alignment with strategic goals to focus efforts where they matter most.
Engineering work begins with feature selection, model training, validation, and refinement using your data.
Models are embedded into workflows, APIs, dashboards, or automation pipelines for production use.
Performance tracking, retraining, and incremental updates keep models relevant and effective over time.
Our machine learning consulting services are adaptable to the needs of different industries, helping organizations turn data into better decisions, efficient operations, and real business outcomes.
Use machine learning to predict patient outcomes, personalize care, optimize clinical workflows, and improve operational efficiency. From patient engagement to preventive analytics, ML helps healthcare and wellness providers offer smarter, data-driven services.
Boost efficiency, quality control, and uptime with ML-driven solutions. From predictive maintenance and defect detection to production optimization, machine learning helps cut downtime and improve output consistency.
Using machine learning to forecast demand, optimize inventory, and identify bottlenecks across complex supply chains helps get a clearer picture of what is going on. It also gives you the data-driven insights that allow for faster planning, lower operational costs, and more resilient logistics processes.
Boosting yields, catching anomalies early on, and improving process control are all key areas where machine learning consulting can make a big difference. In complex manufacturing environments, where precision and reliability are absolutely critical, our machine learning consulting helps with advanced analytics.
Applying machine learning to things like fraud detection, risk assessment, predictive analytics, and customer behavior analysis is essential for financial institutions. By using machine learning models, financial institutions can make better decisions while also meeting compliance and security requirements.
Optimizing network performance, predicting outages, and personalizing customer experiences are all areas where machine learning really comes into its own. Telecom providers can analyze vast data sets in real time and improve service quality at scale.
Real ML implementations. Real business impact. See how we've helped companies leverage machine learning.
AI-Powered Health Companion
We built an AI health app with multi-agent ML system for personalized wellness recommendations. The app integrates Apple HealthKit, processes data with OpenAI and LangChain, and uses vector databases for context-aware insights.
Intelligent Ticket Handling
ML-powered support agent that handles thousands of tickets daily with context-aware responses and automatic escalation.
We focus on machine learning customized solutions that deliver real business value, not experiments that stall after the pilot phase.
Our machine learning consultants work directly with ML models, data pipelines, and production systems. This means faster, more reliable results based on proven algorithms, tools, and real implementation experience, not trial and error.
We adapt machine learning models to your existing business processes, data sources, and technical environment. Every solution is designed around your operational, management, and growth goals, not generic templates.
From data quality issues to biased models and fragile deployments, we identify and mitigate ML risks early. This reduces costly rework and ensures stable, trustworthy outcomes once models move into production.
Using proven frameworks, workflows, and team enablement practices, we help you implement ML initiatives faster (often in weeks or months instead of years) without the need to hire or scale an in-house ML team.
Our machine learning consulting company embed ML models directly into your workflows and systems, ensuring solutions operate within your infrastructure while delivering actionable insights in real time.
Connect ML models to your existing databases, CRMs, ERPs, and IoT systems. We ensure clean, structured data flows seamlessly into models for consistent and reliable predictions.
Deploy ML models that trigger automated actions — like routing support tickets, adjusting inventory levels, or flagging anomalies — directly within your operational processes.
Implement ML models in production with CI/CD pipelines, automated testing, and monitoring dashboards to track performance, detect drift, and update models as conditions change.
Design solutions that scale with your business, supporting additional data sources, increasing request volumes, and new requirements without disrupting operations.
Enable ongoing retraining, performance tuning, and model versioning to ensure predictions stay accurate and workflows remain optimized as your business evolves.
What most impressed me about ProductCrafters was their dedication to my project and understanding of our goals. They were very honest and transparent throughout the entire process.
They were flexible, and it was easy to work with them on a day-to-day basis. Their brilliant ideas were critical to the project success.
Out of over 40 applicants, we selected ProductCrafters based on their experience, technical expertise, and cost estimate. The team showed deep technical expertise, a strong work ethic, and honesty.
The team has honest billing practices and creates incredible value for the cost. Working with ProductCrafters has saved us hundreds of thousands of dollars compared to domestic firms.
The quality of their code makes them a valuable partner. They thought holistically about solutions and brought up all-encompassing ideas.
Their insightful advice has maximized the application's performance. We're actually learning things from ProductCrafters that we can adapt and use in other applications.
Customer stories
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Test our team, no commitmentProof of Concept
Working prototype deliveredProduction Ready
Full AI solution deployedOleg Kalyta
Founder & AI Lead