We build machine learning solutions that analyze data, anticipate outcomes, evolve with new information, and improve accuracy through continuous learning
Schedule a Free ML Strategy CallOur Clients
We help businesses transform their data into a strategic advantage, enabling smarter decisions, operational efficiency, and continuous innovation. Serving clients across finance, healthcare, retail, manufacturing, supply chain, and telecom, we deliver actionable intelligence that drives measurable results. Our machine learning solutions identify hidden trends, detect anomalies, optimize processes, and forecast future opportunities, allowing businesses like yours to respond faster to market changes and make data-backed decisions with confidence.
We combine deep industry expertise, advanced algorithms, and scalable ML platforms, to help you streamline operations, enhance customer experiences, reduce costs, and unlock new revenue streams, all while maintaining high standards of reliability, security, and performance.
20+
Years of experience
1630+
Projects
1020+
Customers
545+
Technocrats
Our machine learning consulting service assists you in determining high-impact opportunities, evaluating technical viability, and building a roadmap for success. We collaborate closely with your team to align machine learning solutions with your business goals, ensuring every project delivers measurable value from day one.
We help you establish robust pipelines to automate and simplify ML workflows, deployments, monitoring, and maintenance. We ensure your machine learning solutions perform efficiently at scale with low operational overhead but maintain their best-in-class performance across production deployments.
We build custom machine learning models employing the appropriate algorithms, properly structured training, and thorough validation. Our models convert your raw data into useful insights. Our solutions provide precise predictions, optimize decisions, and discover patterns for driving efficiency, minimizing risks, and delivering quantifiable business results.
Our integration services ensure your ML models work seamlessly with your current tools and workflows. We handle the technical intricacies so your team can start leveraging machine learning solutions without disrupting day-to-day operations.
Our machine learning application development services provide easy-to-use solutions that solve real business problems. From recommendation engines to predictive analytics platforms, we develop ML-driven applications that your customers and team will utilize.
We provide end-to-end ML capabilities as a managed service, so businesses can create, deploy, and scale models without cumbersome infrastructure. With our cloud-based MLaaS solutions, businesses speed innovation, achieve rapid integration, and deliver enterprise-class security for faster, smarter results.
We accelerate your ML development by automating machine learning. With our AutoML services, we enable your business to build and deploy models more quickly by automating tedious work such as feature engineering and hyperparameter optimization. It saves development time without affecting model quality, bringing machine learning capabilities to your business.
We build the foundation for successful machine learning projects. Our data engineering services ensure your data is clean, structured, and ready for ML model development. We establish efficient data pipelines for storing, processing, and acquiring your data so your machine learning applications run optimally.
We train, tune, and optimize machine learning models for peak accuracy and performance. Using advanced optimization techniques, our experts extract best value from your data and continuously fine-tune models on real-world feedback, so they continue to stay adaptable and performant as your business expands.
Machine learning utilizes data to predict demand, minimize inefficiencies, and fuel innovation, giving your business a measurable edge.
Get a Custom ML Solution
Our solutions help you predict what’s next with accuracy to drive results. Our predictive analytics models analyze past data to predict demand, recognize risks, and inform smarter decisions throughout marketing, supply chain, and finance.
Deliver personalized experiences that enhance engagement and revenue. Our ML-powered recommendation systems analyze user behavior, choices, and buying history to recommend the right product at the right time, increasing conversions and long-term customer trustworthiness.
Extract actionable intelligence from visual data to support faster, more accurate decisions. Visual data contains rich insights when computers can understand it correctly. Our models are trained on domain-specific data to support surveillance, diagnostics, quality control, and asset monitoring with accuracy that improves over time.
Discover critical information from unstructured documents and transform it into usable insights. Documents such as PDFs, Word documents, and text files hide valuable information. We construct ML-driven processing systems that extract content, provide summaries, and expose actionable findings from documents that defy traditional data extraction techniques.
Turn massive, complex datasets into predictive insights that inform strategy and minimize risk. Big datasets hide patterns, anomalies, and correlations that are often missed in conventional method of analysis. We use data science methods to extract value from vast amounts of information, revealing insights that predict results, minimize risks, and lower related costs throughout your operations.
Manage dynamic workflows autonomously and make intelligent decisions without human intervention. AI agents handle complicated tasks without ongoing human intervention. We design tailored AI agents that act towards pre-established objectives, take decisions in response to dynamic situations, and implement multi-step processes, providing economical automation for advanced business processes.
Deep learning models process massive data volumes to detect patterns, predict outcomes, and accelerate intelligent automation. They sort and group information at rates difficult for humans to achieve. We deploy neural networks that handle enormous volumes of information to identify patterns, predict outcomes, and enhance business performance by intelligent automation.
NLP models allow systems to understand, analyze, and generate human language for effective communication. Text and language hold insights that conventional software cannot reveal. We provide NLP solutions for statistical machine translation, intent analysis, optical text recognition, precise text processing, and speech pattern analysis that enable machines to comprehend human communication.
Conversational AI platforms deliver human-like interactions that enhance customer experience and minimize manual effort. 24/7 customer engagement occurs via intelligent conversational interfaces. We develop AI-powered chatbots and virtual assistants that address questions, support automation, enhance response rates, and recognize voice commands with natural language processing that resemble humans.
These bots handle repetitive, judgment-based tasks efficiently, reducing workload and increasing process accuracy. High-volume, complex tasks demanded human judgment and consumed resources in the past. We design robotic process automation powered by AI and machine learning to execute advanced workflows, reduce manual labor, and lower operating overheads, maintaining accuracy.
Machine learning solutions enhance logistics, predict demand, and improve operational efficiency throughout the supply chain. Logistics, inventory, and delivery networks function optimally with smart prediction. We create ML solutions that predict demand, optimize routes, streamline warehouse operations, enhance efficiency, lower costs, and ensure timely deliveries throughout your supply chain.
Speech recognition systems translate voice into structured data to improve accessibility, competence, and decision-making. Spoken words become organized, actionable information with the proper models. We create speech recognition solutions that learn to handle accents, context, and industry-specific terminology for real-time transcription, voice portals, and automated call insights that comprehends the language of your business.
AI-driven fraud detection systems identify risks in real time to protect your organization from financial and reputational damage. Suspicious behaviors and transactions must be identified in real time, not when harm is already done. We develop AI-driven fraud detection platforms for banking, insurance, and e-commerce that prevent financial loss, safeguard customers, and ensure security without causing friction to genuine users.
Predictive models analyze customer behavior and help you aim for the right audience with accuracy and customization. Various customers need different approaches based on behavior, value, and characteristic. We use clustering algorithms and predictive models to segment your user base so that you can run personalized campaigns, targeted retention programs, and resource allocation that optimizes lifetime value.
Computer vision solutions help machines to analyze visual information, find anomalies, and respond smartly in real-time. Machines can see and comprehend when they are well trained. Our computer vision solutions perform object recognition, facial and gesture recognition, visual sensing, intelligent image and video analysis, and real-world image processing for uses ranging from quality inspection to security monitoring.
Softweb Solutions supports the complete lifecycle of your ML projects. Right from the first workshop to deployment, we apply proven engineering best practices for enterprise-grade security and data science expertise to deliver solutions that scale.
We understand the business landscape, objectives, and success criteria and translate them into ML-ready problem statements for measurable, outcome-driven solutions. We locate and link appropriate data sources then collect and extract data from databases, APIs, and files.
We clean raw data to eliminate missing values, duplicates, and discrepancies. This improves data quality and allows models to learn meaningful patterns.
After this, we explore data to find patterns, outliers, and relationships that guide strategy. The exploration enables our team to catch potential issues early and refine the modeling strategy before training.
Our experts develop input variables and optimize them to train the model. We build new features, combine existing ones, and remove noise to improve model performance.
We choose the suitable ML algorithm and model structure depending on data attributes, business objectives, and operational limitations. Then we train the selected model on prepared data and fine-tune it using proven techniques.
We validate trained models on unseen data to gauge accuracy, consistency, and operational performance in the real world. After this, the model hyperparameters are optimized with structured search and optimization methods. This improves performance metrics without affecting the model's capacity to simplify to new data.
We package and deploy the trained model in production environments such as REST APIs or cloud functions. Our team handles existing system integration, versioning, and security protocols. We monitor performance to track accuracy and identify model drift during production.
Our ML solution analyzes data, uncovers hidden patterns, and forecasts accurate outcomes so that you can take the right next step, every time.
Start Your ML JourneyML in Manufacturing
We integrate machine learning into smart factories to enable real-time defect prediction, adaptive process control, and automated quality assurance to drive faster production.
Use cases:
ML in Supply Chain
Our machine learning solutions help with proactive supply chain decisions through intelligent demand sensing, lead-time reduction, and predictive disruption management to increase agility end-to-end.
Use cases:
ML in Semiconductor
We apply deep learning to wafer inspection, layout optimization, and failure prediction, reducing production delays, improving yield rates, and accelerating time-to-market in chip manufacturing.
Use cases:
ML in Healthcare
We design AI-driven diagnostics, operational optimization tools, and clinical decision support systems that reduce human error and improve patient outcomes at scale.
Use cases:
ML in Retail
We use behavioral modeling, real-time customer insights, and inventory-aware personalization to turn retail data into hyper-relevant shopping experiences and optimized product flows.
Use cases:
ML in Finance
Our ML systems power adaptive risk scoring, real-time anomaly detection, and predictive financial insights to help institutions stay compliant, competitive, and customer focused.
Use cases:
ML in Energy
From smart grid analytics to predictive maintenance in renewable assets, we bring ML-driven intelligence to every layer of energy production and distribution.
Use cases:
ML in Telecom
We utilize ML for intelligent network traffic management, real-time QoS (Quality of Service) enhancement, and subscriber behavior analytics to reduce churn and maximize ARPU.
Use cases:
ML improves speed, accuracy, and consistency across processes. These gains reduce manual effort, accelerate decision-making, and increase overall business productivity.
ML can automatically customize user experiences, products, or services based on individual behavior, preferences, and previous interactions. This is critical in industries like retail or healthcare.
ML analyzes historical data and recognizes trends to make predictions. This enables businesses to anticipate customer needs, optimize resources, and mitigate risks proactively.
ML processes vast amounts of data and generates real-time insights. This enables systems to make consistent, high-speed decisions without relying on manual input.
We design, develop, and manage your machine learning solutions through our global development centers, ensuring seamless collaboration with your in-house teams. Acting as an extension of your organization, our remote experts deliver consistent quality, reliable outcomes, and significant cost efficiencies.
Our ML engineers work at your site, coordinating with your team for maximum collaboration. This model provides immediate access to domain experts, facilitates real-time problem-solving, and ensures deep integration with your existing workflows and culture.
Our hybrid model unites the cost-effectiveness of offshore development with the benefits of collaboration through on-site presence. While our primary development is executed at our state-of-the-art centers, key engineers work closely with your in-house team to align requirements, integrate solutions, and ensure seamless execution at every critical stage.
Get a pre-determined cost for the total project scope with deliverables and timelines well established. This model offers cost certainty and is best suited for ML projects with well-understood requirements, defined datasets, and specific results.
Pay for the time and resources spent on your project as development progresses. This adaptive model accommodates changing requirements, experimental techniques, and discovery cycles prevalent in ML development. You have control over priorities and can shift direction based on initial results.
Lack of accuracy in product recommendations
Build recommendation engines that analyze browsing and purchase history to suggest relevant products in real-time
Manual document classification causing delays
Deploy ML models that categorize incoming documents by type, topic, or priority without manual sorting
Inefficient targeting in marketing campaigns
Create segmentation models that identify high-value audience groups and predict campaign performance
Difficulty understanding customer sentiment at scale
Apply NLP techniques to extract sentiment scores and emerging themes from customer feedback at scale
Inability to process and interpret visual data efficiently
Implement computer vision systems that automatically detect, classify, and tag objects in visual content
High customer churn with limited visibility into root causes
Build predictive models that identify at-risk customers weeks before they leave, enabling targeted retention
Excessive spam and low filtering accuracy
Train classification algorithms that filter unwanted messages with high accuracy and low false positives
Unplanned equipment failures impacting productivity
Develop predictive maintenance models that forecast breakdowns before they happen, reducing costly downtime
We help businesses in utilizing this powerful cloud-based predictive analytics service to quickly build and deploy models into production. The drag-and-drop features of this environment speed up the entire process.
Use our pre-built models on AWS or get new predictive models to answer complex business challenges. This platform enables our experts to quickly build, train and deploy machine learning models for your organization.
Using cloud infrastructure with TensorFlow, our machine learning experts leverage the potential of Google Machine Learning and create machine learning models for all the industries.
Industry
Healthcare
Technologies
Azure Data Factory, Azure ADLS, Azure ML, Azure Synapse, Docker
Challenges
Business impact
Client
Cancer research and treatment organization
Industry
Manufacturing
Technologies:
Azure Machine Learning Studio, TensorFlow, Keras, OpenCV, scikit-learn, NumPy, Python Imaging Library
Challenges:
Business impact:
Client:
A specialized aerospace manufacturer
Words that motivate us to go above and beyond! A glimpse of our customers who make us shine among the rest.
We had an obsolete database management system. The ability of our database management system to store, scan, protect and retrieve/share data was disabled. We consulted the team at Softweb Solution to discuss the challenges of managing confidential legal data. With their support, we were able to migrate our legacy database management system to a digitally transformed business process. We were pleased with their expertise to meet our needs and handle all issues promptly. It will be a pleasure to work with them in the future.
Brian Wanca
Our relationship with Softweb is over five years old. Its’ their unique brand of technical expertise and personal communication skills that makes Softweb so valuable. When I work with a partner, I am looking for honesty, integrity, trust, & skill. Softweb embodies all those attributes. From our responsive website with over 12,000 SKU’s to our mobile applications, they do it…
Jim Starkey
Marketing Group Manager
Softweb Solutions has been instrumental in our Industry 4.0 transformation. They are always energetic, hardworking, and updated in their field of expertise. Their professionalism, technical knowledge, and proactive project management exceeded expectations. We highly recommend Softweb Solutions for businesses seeking transformative strategies and seamless execution to achieve their goals.
Alvin Jacob
ML helps you spot what really matters – patterns, gaps, and untapped potential. We guide you in turning scattered information into clear, helpful signals that drive smart decisions.
Your business has strengths worth building on. That’s why we never use one-size-fits-all solutions. We create ML systems that match how you work and help you grow.
Our focus is simple – outcomes over output. From improving customer experiences to cutting hidden costs, we ensure ML delivers visible value quickly.
Change means opportunity. Our ML solutions evolve with your data, team, and ambitions. So, you stay ahead and ready for whatever comes next.
10+ years of real-world experience delivering ML solutions across industries
60+ ML experts, including specialists in supervised, unsupervised, and reinforcement learning
Ready-to-use ML accelerators that reduce development time by up to 35%
Integrated with Azure ML, AWS SageMaker, and Google Vertex AI for scalable deployments
Proven success in deploying custom models for fraud detection, predictive maintenance, demand forecasting, and more
Machine learning services encompass building, deploying, and maintaining intelligent systems that learn from data. We provide ML development services including consulting, custom model development, data engineering, integration, and maintenance. Whether you need machine learning app development services, ML model development services, or machine learning as a service, we ensure your ML initiatives deliver measurable business value.
Our AI/ML development services span predictive analytics, recommendation engines, computer vision, NLP, fraud detection, customer segmentation, supply chain optimization, and AI chatbots. As an experienced machine learning development firm, we handle projects from prototypes to enterprise-grade machine learning solutions. Our custom machine learning solutions are tailored to your specific data and business objectives.
Yes. Our machine learning development services include building interpretable models using SHAP values, LIME, and feature importance analysis. We maintain complete documentation of data sources, model architecture, and training processes. As a responsible ML development company, we balance performance with explainability, ensuring stakeholders can trust AI-driven decisions while meeting compliance obligations.
Absolutely. Our machine learning services handle all unstructured data types—text (NLP for sentiment analysis, classification), images (object detection, recognition), and video (motion analysis, event detection). As machine learning service providers, we also create multimodal solutions combining different data types for richer insights.
Fine-tuning typically takes 2-4 weeks compared to 8-16 weeks for building from scratch. Fine-tuning leverages pre-trained models with less data and computation. Building from scratch suits highly specialized problems. Our ML model development services assess which approach delivers better results for your specific use case.
Our machine learning development services deploy models as REST APIs, microservices, or embedded components connecting with CRMs, ERPs, and custom applications. Integration methods include real-time API calls, batch processing, and streaming pipelines. We handle authentication, versioning, and monitoring within your existing technology stack—cloud, on-premise, or hybrid.
The four main types of machine learning techniques are: Supervised Learning (learns from labeled data), Unsupervised Learning (discovers patterns in unlabeled data), Semi-Supervised Learning (combines both), and Reinforcement Learning (learns through trial and error). Our machine learning services company has expertise across all types, selecting the appropriate approach based on your data and objectives.
The cost depends on the complexity of your project, the volume and quality of data, the level of customization needed, and whether it involves integration with other systems or ongoing support. We typically start with a consultation to understand your goals before providing a tailored estimate.
The primary purpose of machine learning is to enable systems to learn from data and make informed decisions or predictions without being explicitly programmed. It’s used to improve efficiency, accuracy, and adaptability in business processes.
All major cloud platforms including AWS, Google Cloud, and Azure are excellent for machine learning. AWS is widely used for its extensive toolsets and scalability. Google Cloud offers strong support for data science and AI innovation. Azure integrates smoothly with Microsoft tools and services. The best fit depends on your existing tech stack and business needs.
NLP, or Natural Language Processing, is a branch of machine learning that focuses on enabling machines to understand and interpret human language. It’s commonly used in applications like chatbots, voice assistants, language translation, and content analysis.
Machine learning helps businesses to operate smarter by automating decisions, improving forecasting, enhancing customer experiences, and reducing operational costs. It delivers valuable insights from data that might otherwise go unnoticed.
Some of the most common uses include fraud detection, personalized product recommendations, customer segmentation, predictive maintenance, and demand forecasting. These applications help businesses become more agile and data-driven.
Our approach is focused on delivering real, measurable business value. We build models that are tailored for scalable AI/ML solutions grounded in your industry’s unique challenges. Our team combines technical depth with domain expertise to make sure that you get practical, explainable, and effective ML outcomes.
Discover new ML-enabled approaches to analyze your information and drive impact
Leverage our machine learning development services to transform insights into business value and innovation.
