Machine Learning Development Services
Enhance your business decisions through predictive insights and advanced analytics. SoftTeco’s machine learning development services equip you with future-ready solutions, helping them to evolve together with your data and priorities.
17
Years in Software Development
500
IT Experts
300
Customers Globally
450
Successful Projects
SoftTeco’s Machine Learning Development Services
As a reliable machine learning development company, SoftTeco has completed ML projects for businesses across the globe. We provide quality, safe, and innovative solutions through our knowledge and expertise.
Machine Learning Consulting
SoftTeco helps you determine and optimize the most suitable ML solution in the specific domain. Our ML consultants define the best machine learning strategy, assess data availability, determine feasibility, and assist you select the most effective tools and technologies.
Machine Learning Engineering
Our experienced ML engineers and data scientists work closely with clients to understand their needs and build custom apps. We ensure robust development and deployment of intelligent and data-driven apps that enable better business decisions.
Machine Learning Integration
We provide seamless integration of machine learning models into existing systems, applications, or workflows, ensuring optimal performance. Whether in the cloud or on-premises, we fine-tune your models to provide high-precision predictive analytics and decision-making workflow automation that improves your strategic business outcomes.
Deep Learning Development
SoftTeco helps you integrate deep learning to build automated systems that turn complex datasets into intelligence that supports your decision-making across enterprise workflows. With our deep learning solutions, companies can enhance their foresight, customer experience, and decision-making capabilities.
Predictive and Real-Time Data Analytics
Using ML and predictive algorithms, we build solutions that forecast a business’s potential risks and outcomes using historical and real-time data. Machine learning and predictive analytics can improve prediction accuracy by 76.6% and decision-making speed by 73.3%, uncovering data patterns and trends and prognosing business outcomes.
Data Migration
We offer data migration services to transform legacy and big data systems into usable datasets. Partnering with our experts allows businesses to build and analyze machine learning models using high-quality and reliable data, minimize business risks, and realize the full potential of their data.
Business Process Automation
SoftTeco eliminates repetitive tasks with efficient and accurate automated tools. Using modern AI and ML technologies, our professionals can make your business processes more agile, predictable, consistent, and aligned with your strategy.
Machine Learning Operations (MLOps)
By implementing MLOps practices, we help businesses speed up their machine learning model development, deployment, and maintenance. By investing in servicing machine learning models, you can improve operational efficiency, facilitate cross-department collaboration, and increase ROI up to 149%.
Machine Learning Optimization
Organizations can use SoftTeco’s ML optimization service to make their machine learning models more accurate, efficient, and scalable. We design and optimize models to improve reliability, reduce resource consumption, and lower operational and regulatory risks.
Trusted By Industry Leaders
Solutions We Develop
We cater to a wide range of industries including transportation, automotive, oil & gas, customer electronics, and healthcare to deliver custom machine learning solutions.
Conversational AI & Chatbot
We build powerful conversational AI and chatbots for a wide range of messengers, websites, and mobile applications, so you can cut up to 30% of customer support costs. Our AI chatbots can analyze conversational patterns, decode natural language, and provide valuable insights, improving user experience during their journey.
Natural Language Processing
Using NLP, we optimize business workflows across industries, from leveraging smart search systems and autonomous cars to automating patient triage and fraud detection. Our advanced NLP solutions help businesses analyze and understand any format of human language.
Robotic Process Automation
By integrating AI and ML with robotic process automation (RPA) we create highly functional, cost-effective automation tools to streamline business workflows. Our RPA solutions include diverse data processing, cognitive automation, intelligent decision making, and continuous monitoring and improvement.
Data-Driven IoT
SoftTeco offers ML solutions to help businesses leverage IoT devices. By using IoT data collection and machine learning algorithms, we extract valuable information, detect patterns and anomalies, and automate intelligently.
Cybersecurity
With our ML-based cybersecurity solutions, businesses can mitigate risks and safeguard sensitive data. Machine learning models allow organizations to stay updated on the latest threats, vulnerabilities, and attack techniques, gaining 95% and higher accuracy in malware detection.
Business Intelligence
We expertly build and deploy data warehouses, ETL systems, cloud, on-premise solutions, advanced BI reporting and data visualization solutions. Relying on our BI solutions, businesses can forecast the market and competitors, analyze trends, and optimize operations in a secure and effective manner.
Computer Vision
Our specialists use computer vision technology for a variety of business tasks, such as object detection and recognition, image classification, and 3D reconstruction. Analysis of images or videos allows companies to extract relevant and accurate data for better decision-making.
Voice & Speech Recognition
We provide businesses with accurate and efficient speech and voice recognition, language translation, and voice-enabled applications. Additionally, we integrate business apps with voice recognition services such as Siri, Google Assistant, and Alexa.
Ready to apply machine learning?
Let’s start your next project together!
Machine Learning Never Stands Still — And Neither Do We
Over the past years, we’ve seen the ML landscape evolve faster than ever, and our team has grown right alongside it. In the early stages, our core expertise was built around statistical learning, classical machine learning models, and computer vision. These foundations helped us deliver reliable, production-ready solutions long before AI became a buzzword.
As the market shifted, so did our focus. Today, we actively work with large language models (LLMs), AI agents, retrieval-augmented generation (RAG), and multi-agent systems, applying them to real business challenges — from enterprise search and automation to decision intelligence and conversational AI.
What hasn’t changed is our engineering mindset. We continue to combine strong fundamentals, practical experimentation, and measurable results, ensuring every new technology we adopt brings real value, not just hype. This balance allows us to stay ahead of trends while consistently delivering high-quality ML solutions our clients can rely on.
In short, we evolve with the market — and we’re doing it well.
Machine Learning Tech Stack
Machine Learning Platforms We Work On
Microsoft Azure Machine Learning
Microsoft Azure ML is a cloud-based platform offering a wide range of integrated tools and services to build, deploy, and manage ML models and apps. Backed by 15 years of experience with Microsoft Azure services, SoftTeco uses its capabilities to deliver state-of-the-art ML solutions for diverse industries and organizations.
AWS Machine Learning
Amazon Web Services ML is a cloud-based service that allows developers and data scientists to build, train, and deploy ML models at scale. SoftTeco uses the platform’s tools and services to facilitate the entire ML workflow and build sophisticated machine learning models and apps for our clients.
Google Machine Learning
Google Machine Learning is a suite of advanced tools, services, and infrastructure available on the Google Cloud Platform (GCP) for model development and training. SoftTeco offers certified GCP engineers ready to help organizations set up their systems and adopt Google’s powerful analytics and predictive tools.
Our Proudest Industry Recognitions
Why Choose SoftTeco as Your Machine Learning Development Company?
How We Deliver ML Solutions
1. ML Project Discovery
We start with understanding business context and translating your objectives, pain points, and compliance needs into achievable project goals ML models can reach. Our team assesses your data maturity and infrastructure to evaluate technical feasibility and then establishes the development strategy. It includes:
- Project requirements
- Risk assessment
- Data governance framework
- Plan for responsible AI adoption
- Cost-efficiency modelling
- Measurable success criteria
2. Architecture and ML Modeling
Our experts design the system’s architecture, features, and prepare selected ML models for training. For data, we remove noise, build pipelines, and implement modern data security and anonymization practices. Our team introduces human-in-loop validation and feedback cycles that help verify model’s outputs and prevent data drift. Other activities are:
- ETL pipelines planning
- Multi-agent orchestration design
- Model architectures evaluation
- Infrastructure roadmapping
- Model prototype building
3. ML Model Training and Evaluation
At this step our ML experts train the selected algorithm, feeding it prepared datasets. They balance speed, accuracy, interpretability to gain optimal learning results and accurate predictions. Cross validation is used to avoid overfitting and model performance reliability assessment. Additional components of this service stage are:
- Accuracy, precision, recall metrics evaluation
- Comprehensive error analysis
- Hyperparameters tuning
- Different training setups comparison
- Refining model performance
4. Model Implementation and Pipeline Integration
ML experts integrate the model within a broader application ecosystem and infrastructure. Our team selects on-premises, cloud, edge, or on-device deployment depending on your requirements. We connect machine learning algorithms with data sources and APIs, implement end-to-end automation, establish guardrails, and set audit trails. This step also includes:
- CI/CD workflows configuration
- Inference pipelines building
- RAG and enterprise search integration
- Model versioning setup
- Model performance optimization
5. Iterative Improvement
To ensure the model remains explainable and safe, our ML professionals set model performance dashboards and bias detection tools. They schedule regular vulnerability assessments and compliance checks, keeping your solution up to date, secure, and aligned with evolving regulatory requirements. What we do:
- Feedback and new data collection
- Data pipelines updates
- Model fine-tuning or retraining
- Results validation via testing
- Performance metrics reevaluation
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Focusing on Clarity, Maintainability, and Real Business Value
Machine learning has become part of everyday business reality, not an experimental technology reserved for data teams. Companies come to ML with very practical questions: how to make better decisions, reduce manual work, and use their data more effectively without adding unnecessary complexity or risk. That’s why successful machine learning development today is as much about people, processes, and trust as it is about models and algorithms.
At SoftTeco, we work closely with our clients to turn machine learning into a reliable, long-term capability. We build custom ML solutions that combine classical machine learning and deep learning with modern approaches such as large language models, retrieval-augmented generation (RAG), and agent-based automation. Our focus is always on clarity, maintainability, and real business value – creating ML systems that teams can understand, rely on, and confidently grow over time.
Our Machine Learning Projects
ML Solution for Golf Club Manufacturer
SoftTeco has developed an ML-powered solution to analyze golf players’ positions and strokes for custom golf club manufacturing. Our experts collected, labelled, and refined the dataset for the ML model training, so it was able to detect the player’s body position and monitor the golf club’s trajectory during the stroke. After that, we have developed two AI models to ensure the solution recognizes gold clubs and differentiates them from the surrounding environment and players. Ultimately, the client got an MVP that combines AI, ML, and computer vision for accurate pose recognition and metrics collection.
ML Mobile App for Beekeepers
Our professionals have created an ML-powered iOS mobile app for beekeepers. It automatically counts the number of bees in a hive, estimates their well-being, and predicts bee population growth. Machine learning app development included architecture design, data labeling, and neural network training – it took 2000 epochs to get accurate results. The solution cuts hive inspection time from 1 hour to 10 minutes, contributing to efficient and sustainable beekeeping practices.
ML-Based App for Banana Leaf Disease Detection
We built software that uses machine learning, computer vision, and artificial intelligence to monitor banana tree health. The solution can inspect plants, detect leaf shape and color, and categorize potential damage using a classifier model. Based on a comprehensive analysis of the images, agronomists receive PDF reports on the plants’ condition and recommendations to optimize banana seedlings’ growth.
Our Clients’ Voices
FAQ on machine learning software development
Do I need to have all my data ready before starting an ML project?
How do you ensure our model stays accurate as our data changes?
How much does a typical ML project cost?
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