Machine Learning Development
Plavno provides machine learning development services for companies that want to automate workflows, predict outcomes, analyze data, personalize user experiences, and build custom ML solutions powered by reliable models and scalable infrastructure.
Services
We design, train, validate, and deploy custom machine learning models tailored to your business goals, available data, prediction tasks, and operational requirements.
We help identify practical ML use cases, assess data readiness, choose the right model approach, define risks, and create a realistic machine learning implementation roadmap.
We build clean, reliable, and scalable data pipelines required for successful machine learning development, model training, analytics, and production deployment.
We analyze large datasets to identify hidden patterns, trends, anomalies, correlations, and insights that support better forecasting and business decisions.
We develop AI agents that can understand context, process requests, interact with tools, automate tasks, and support customer-facing or internal business workflows.
We build deep learning solutions for complex use cases such as image recognition, natural language processing, classification, prediction, anomaly detection, and automation.
Trusted by Industry Leaders
Solutions
We build predictive analytics solutions that help companies forecast demand, customer behavior, churn, risk, revenue, inventory needs, and operational performance.
We create computer vision systems that detect objects, classify images, analyze video streams, track movement, identify defects, and support automated visual inspection.
We develop NLP solutions for text classification, summarization, sentiment analysis, translation, document processing, search, and automated customer communication.
We build recommendation systems that personalize products, content, offers, user journeys, and customer experiences based on behavior and contextual data.
We design, train, tune, and deploy neural networks for advanced prediction, recognition, classification, automation, and pattern detection use cases.
We integrate ML models into existing software, mobile apps, web platforms, CRMs, ERPs, dashboards, cloud systems, and internal business tools.
Eugene Katovich
Sales Manager
Plavno has a team of skilled ML engineers, data engineers, AI specialists, and software developers ready to turn your data into intelligent business solutions. Ask me!
Get in TouchModels
Predictive machine learning models use historical data to forecast future outcomes, trends, risks, demand, user behavior, or business performance.
Classification models organize data into categories, detect intent, classify documents, identify objects, score leads, detect fraud, or segment customers.
Recommendation models personalize products, services, content, offers, and digital experiences based on user behavior, preferences, and contextual data.
Benefits
Most businesses sit on years of unused data while manually running processes that machine learning could handle in seconds. The advantage isn't the technology itself — it's turning that data into a competitive engine that works while your team sleeps.
Machine learning development helps automate repetitive, data-heavy, and decision-based processes, allowing teams to reduce manual work and operate faster.
Custom machine learning solutions process large volumes of data, identify patterns, and help businesses make decisions based on predictive insights instead of assumptions.
Machine learning helps businesses anticipate demand, customer behavior, risks, supply chain changes, market dynamics, and operational bottlenecks before they happen.
Case Study
The goal was to create an MVP with both backend and frontend development, alongside designing a user-friendly interface. The client also needed an efficient admin panel for managing their operations. So we proposed using our pre-built modules which included AI Nova for AI-driven platform management.
dev time reduction
One of the significant applications of AI is in education. While students often turn to AI platforms like ChatGPT for support, there remains a need to assist educators in evaluating students' abilities and ensuring their own comprehensive understanding of the subject matter. Who will support these educators?
institutions use the platform
Tech Stack
ln order to solve business problems effectively, we are continuously improving our technologies and tools portfolio. Check out our tech stack that we use in our projects.
Behchmarks
800+realized software development projects
85%of developers are senior-level
2–3 weeksaverage time to deploy an agile development team
51+AI-based software projects delivered
Advantages
Experts ready to start with your project
We are not "blind coders" or "feature makers." We focus on creating the right product for the right people.
Agile teams are primed for deployment within 2-3 weeks.
Well-defined service standards for all clients.
of developers are senior-level.
Talent pool
Alex
Backend Lead
Builds scalable backend services in Python and Node.js. Designs domain-driven APIs with FastAPI, Postgres, and Kafka eventing.
Builds scalable backend services in Python and Node.js. Designs domain-driven APIs with FastAPI, Postgres, and Kafka eventing.
Alex
Solution Architect
End-to-end solution design, cloud security, and scaling expert. Experienced in distributed systems and microservices architecture.
End-to-end solution design, cloud security, and scaling expert. Experienced in distributed systems and microservices architecture.
Vasily
Backend
Software Engineer with experience React and PHP as well as in Solidity development.
Software Engineer with experience React and PHP as well as in Solidity development.
Sofia
Integrations Engineer
Develops integrations with EHR, CRM, and productivity tools. Works with FHIR/HL7, Salesforce, HubSpot, and calendar APIs.
Develops integrations with EHR, CRM, and productivity tools. Works with FHIR/HL7, Salesforce, HubSpot, and calendar APIs.
Alexander
Backend
Senior Backend Developer with an experience in Drupal and Shopify. Successfully delivered 10+ projects.
Senior Backend Developer with an experience in Drupal and Shopify. Successfully delivered 10+ projects.
Erik
Security Engineer
Implements secure authentication and access control. Specializes in SSO/SAML, RBAC, and secrets management.
Implements secure authentication and access control. Specializes in SSO/SAML, RBAC, and secrets management.
Artyom
Backend
Software Engineer with 4+ years of experience in PHP, Node.js and React development.
Software Engineer with 4+ years of experience in PHP, Node.js and React development.
Challenges
Our developers help businesses handle the most common challenges associated with building reliable, scalable, and production-ready ML systems.
Development Process
You schedule a meeting with our machine learning development team at a time that works for you.
You share your ML idea, business goals, available data, current software environment, technical requirements, and questions after we sign an NDA.
We assess data readiness, define the ML development roadmap, select the right model approach, and outline how to bring your machine learning solution to life.
Project Calculator
No meetings or calls needed. Just answer a few questions and our consultants will provide an advisory package tailored for your project. It's free and non-binding
Frequently Asked Questions
Find answers to your common concerns
Machine learning development services include designing, training, testing, deploying, integrating, monitoring, and improving ML models that help businesses automate processes, analyze data, and generate predictions.
Plavno can build predictive analytics systems, recommendation engines, AI agents, NLP tools, computer vision systems, classification models, forecasting models, neural networks, and custom ML applications.
Yes. Plavno can integrate machine learning models into web platforms, mobile apps, CRMs, ERPs, dashboards, cloud infrastructure, internal systems, and business automation tools.
The cost depends on data quality, model complexity, required accuracy, infrastructure, integrations, business logic, compliance requirements, and the need for ongoing monitoring or retraining.
Yes. Plavno supports MLOps services, ML model deployment, model performance monitoring, retraining pipelines, version control, and continuous model improvement.
Machine learning can be used in healthcare, finance, retail, logistics, manufacturing, e-commerce, cybersecurity, telecom, insurance, education, and real estate.
Testimonials
“They really understand what we need. They’re very professional.”
Sergio Artimenia
Commercial Director, RNDpoint
“We appreciated the impactful contributions of Plavno.”
Thien Duy Tran
Product Manager, T-Rize Group
“We are very satisfied with their excellent work”
Michael Bychenok
CEO, MediaCube
“They have a clear understanding of what the end user needs.”
Helen Lonskaya
Head of Growth, Codabrasoft LLC
“The app was delivered on time without any serious issues.”
Mitya Smusin
Founder, 24hour.dev
Project Estimator
The estimated time to launch the product
Clear vision of functionality you need
15% discount on your first sprint
Contact Us
We can sign NDA for complete secrecy
Discuss your project details
Plavno experts contact you within 24h
Submit a comprehensive project proposal with estimates, timelines, team composition, etc
Plavno has a team of experts that ready to start your project. Ask me!
Vitaly Kovalev
Sales Manager
What Happens Next?
