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machine learning

Our team of data scientists, data engineers, and machine learning experts transform business operations, customer relationships, and tech ecosystems with innovative ML model development.

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The importance of machine learning

As businesses scale, they inevitably start processing huge amounts of data. Machine learning allows you to draw insights from large, complex masses of data, continuously drawing better conclusions and more accurate predictions as the models gain experience.

 Machine learning can transform everything from how enterprises target their customers to how they manage their business operations. For start-ups, building an innovative product that leverages machine learning can award you that all-important competitive edge. Explore how machine learning could drive your business goals by speaking to our team today.

Machine Learning Development Services

Machine Learning Development Services

Predictive analysis

Improve the analysis of current and past data in order to predict future patterns better. We build, train, and deploy machine learning and deep learning systems that identify both simple and complex patterns.

Data engineering

Our diverse team of data engineers collaborates with our machine learning engineers to design, manage, and optimize the flow of data through your machine learning models so that they drive real business insights.

Natural language processing

Build an accurate natural language processing system (NLP), or enhance your existing rules-based NLP with machine learning, allowing your software to better identify natural patterns in unstructured data.

Recommendation engines

Build a more personalized user experience, grow a loyal user base, and generate more revenue. Our machine learning engineers create powerful ML models, geared toward fulfilling your specific KPIs.

Deep learning

Leverage the power of deep learning for better image recognition, speech processing, analytics, and more. Explore your data at a deeper level and find complex, intricate structures in order to power business learning.

Computer vision

Our experts combine machine learning, deep learning, and other emerging technologies to interpret, understand, and act, based on images and videos. Whether it’s facial recognition or traffic control, we have experts across a range of industries.

Data science

Drive meaningful business insights from your array of enterprise data. Our data science experts focus on analyzing data in order to find opportunities to solve business problems and answer your most pressing questions.

Accelerate innovation Machine Learning

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Machine Learning Development Process

Through working with dozens of clients on a huge range of machine learning projects, we have created a comprehensive process for delivering project success. From early consultation to data analytics optimization, discover our process below.

Data gathering

First, we review your data or help you collect the data you need from reliable sources and aggregate them into a single dataset.

Data pre-processing

Next, we bring in data management experts to ensure data is cleaned, properly formatted, protected, and stored effectively.

Dataset build

We break this processed data down into three datasets: the training set, the validation set, and the test set.

Training & refinement

Once the optimal ML model is defined, we feed the training data set into your algorithm in order to test it against the validation data set.

Evaluation

Lastly, we comb through your model for data analytics accuracy, adjust settings, and run test deployments to account for unexpected data changes.

Deployment

We support you through deployment of your machine learning model, creating integrations through custom APIs for a wide array of environments.

The Benefits of machine learning

Machine learning isn’t just a buzzword. It’s a powerful tool for long-term business efficiency and growth. Our diverse team of analysts, consultants, developers, and machine learning engineers help you unlock all the benefits machine learning has to offer.

AUTOMATE PROCESSES

Machine learning automates the process of learning from data, so your team has more time to focus on acting on insights – not combing through unstructured data.

UNDERSTAND YOUR AUDIENCE

Our data science experts implement cutting-edge algorithms that drive greater customer segmentation and insights.

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LEVERAGE PREDICTIVE ANALYTICS

Predict changes in the market, customer drop-offs, and system faults, so you can adapt and find opportunities in advance.

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DRIVE CONTINUOUS IMPROVEMENT

ML algorithms improve in accuracy and efficiency the more data they analyze. We build models that learn and advance quickly.

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FAQ

Machine learning is the use of computers to learn and adapt through analyzing data and drawing inferences through machine learning algorithms and statistical models. It's a powerful type of artificial intelligence and data analysis.

There are three types of machine learning: supervised machine learning, unsupervised machine learning, and reinforcement machine learning. The type of machine learning models you should use depend on the goals for your machine learning solutions.

Startechup is a custom software development company, machine learning company, and machine learning consulting company. We provide machine learning services and build cutting-edge machine learning solutions for start-ups and enterprise businesses.

Machine learning algorithms are being used in various fields, such as finance, healthcare, transportation, and retail. They are used for image and speech recognition, natural language processing, prediction, anomaly detection, and decision-making. Some specific examples of common applications for machine learning include:

  • Fraud detection in financial transactions
  • Predictive maintenance in manufacturing
  • Image recognition in autonomous vehicles
  • Recommender systems in e-commerce
  • Diagnosis and treatment planning in healthcare
  • Predictive modeling in energy and utilities
  • Sentiment analysis in social media and customer service

Machine learning experts combine the skills of software engineers and data scientists, because they program systems that collect, process, and analyze data - this is what creates the machine learning system.

Deep learning is a specialized technique of machine learning that uses deep learning algorithms, which are a type of artificial neural networks consisting of multiple layers, to learn from and make predictions about data. Machine learning systems, on the other hand, is a broader category that encompasses deep learning as well as other techniques for training models to make predictions or decisions without being explicitly programmed to do so.

Software developers often pick up data science, artificial intelligence, and machine learning skills and concepts, using machine learning algorithms and models to make predictions and find patterns. However, a machine learning engineer is a specific role that combines the knowledge of both software engineers and data scientists.

ML engineers build AI systems that use machine learning models to automate predictive models. ML engineers are often data engineers with advanced data science knowledge or data scientist with advanced software engineering skills.

There are several ways to leverage machine learning (ML) to accelerate your digital transformation efforts, including:

  1. Automating business processes: ML can automate repetitive and time-consuming tasks such as data entry, customer service, and inventory management. This can improve efficiency, reduce errors, and motivate employees to focus on higher-value activities.
  2. Improving decision-making: ML can analyze large amounts of data, identify patterns, and make predictions. This can help organizations make faster decisions, such as identifying new business opportunities, detecting fraud, or predicting equipment failures.
  3. Enhancing customer experience: ML can provide personalized and relevant customer experiences, such as recommending products, providing real-time assistance, or predicting customer needs.
  4. Enhancing product innovation: ML can improve product design, development, and testing. For example, ML can be used to optimize product features, identify new product opportunities, and improve the quality of products.
  5. Predictive Maintenance: ML can predict when equipment or machines will fail and schedule maintenance or replacement of parts before the failure occurs.
  6. Optimizing operations: ML can optimize operations, such as inventory management, logistics, and supply chain management. For example, ML can optimize production schedules, predict demand, and optimize logistics routes.

When leveraging ML to accelerate digital transformation, it's crucial to clearly understand the business problem you're trying to solve and the outcomes you want to achieve. It's also essential to have a good understanding of the different types of ML techniques and technologies available and to work with experts in the field to ensure that the ML implementation is robust, accurate, and compliant with relevant regulations.

Machine learning services can allow companies to solve their key business challenges. 

- Predictive analytics to identify patterns and trends for complex business challenges: For example, e-Commerce development can benefit from machine learning by understanding the shopping behavior of their customers to increase customer satisfaction. 

- Automate operations: Machine learning learns in an automated way, reducing the need for human intervention. 

- Data-driven decision-making: Machine learning can help you take valuable insights and meaningful insights from business data and exploratory data analysis. 

- Innovative product development: Technology companies can implement top machine learning capabilities into their product (like natural language processing), building them a sustainable competitive advantage. That's why so many start-ups and tech businesses choose to integrate machine learning into their custom software, mobile development, and web development. 

As one of the leading custom software development and machine learning companies, we help you unlock the benefits that machine learning, mobile development, and software development have to offer.

Mobile app development teams across various industries use machine learning technology. For example, eCommerce mobile app development teams can learn from customer data to recommend new products to existing customers. Mobile finance apps can also use machine learning algorithms and mobile app development/web app development in unison to verify customers and detect fraud. 

We provide machine learning services and mobile app development services. If you want to utilize innovative ML models in your mobile app development or web development project, reach out today.

There are several machine learning platforms that you can leverage in your AI solutions. Some of the best include IBM Machine Learning - a free, open-source software - Amazon Machine Learning, great for businesses operating in the AWS ecosystem, and Azure Machine Learning.

Artificial Intelligence (AI) is a broad term that refers to the development of computer systems that can perform tasks that would typically require human intelligence, such as understanding natural language, recognizing images, and making decisions. Machine Learning (ML) is a specific method of AI development that involves training computer systems to learn from data and make predictions or decisions without being explicitly programmed. It is a subset of AI. ML uses algorithms and statistical models that enable computers to learn from data, identify patterns and make predictions or decisions. AI development also includes other approaches like rule-based systems, expert systems, and others.

Big Data refers to big data sets that are too large and complex to be managed by traditional data software. Therefore, companies leveraging Big Data use cutting-edge technologies to handle highly-variable data, arriving in increasing volumes and in higher velocity.

The first step of any machine learning project is to define your objectives and specific KPIs. This is crucial to ensure the machine learning process aligns with your business priorities. 

The next step is solution design and prototyping, mocking up a user interface to ensure that your final solution will fulfill your objectives. 

Once design is complete, we move onto the longest stage: development. This involves identifying or creating the correct machine learning algorithm and feature set, data processing, and data preparation. We also utilize other artificial intelligence technologies, depending on your use case. 

Throughout development and beyond, our engineers and developers perform rigorous testing of both your front-end and your back-end, ensuring a scalable, secure, robust solution. Once your application is fully tested and verified against initial objectives, we support you through model deployment and user adoption. Then, as time goes on and we gain user insights, we continuously enhance the machine learning model using machine learning tools to optimize outcomes and adapt as business priorities change. 

As one of the top machine learning companies, we are ready to come on board your machine learning project.

We don't just offer machine learning solutions. As a custom software development company, we work on custom software development projects and provide custom software development services. We have a range of engineers, developers, and experts in artificial intelligence, data engineering, Big Data consulting, software development, web development, digital transformation infrastructure management, natural language processing, eCommerce development, and project manager consulting. We're focused on ensuring customer satisfaction - speak to us today to discover our services.

More information

Startechup procurement process flow

The Startechup procurement process flow can be summarized into four key steps. First, an Introduction call is conducted in order to get to know the potential client and assess their needs. Second, a project assessment is carried out in order to determine the scope of work and what resources will be required. Third, a project execution proposal is drafted and presented to the client for approval. Fourth, once the proposal is accepted, an agreement is drawn up and both parties sign it. This marks the beginning of the project and Startechup’s commitment to seeing it through to completion. While this process may seem long and tedious, it is essential in ensuring that both parties are on the same page and that Startechup has a clear understanding of the client’s expectations

You can expect the best from our team

At Startechup, we pride ourselves on providing top-notch software development services. Our team of experienced developers is well-versed in a variety of programming languages and platforms, and we always stay up-to-date on the latest industry trends. We provide comprehensive documentation with every project, so you can be confident that the final product will meet your specific needs. In addition, our team offers business analysis and interaction Ui/UX services to ensure that your project is user-friendly and easy to navigate. When you work with Startechup, you can expect top-quality service from start to finish.

Most common project execution framework

We mostly use the most popular project execution frameworks: Agile project management. This tool is designed to provide real-time communication between project managers and team members in order to efficiently execute tasks and deliverables. The Agile framework is based on a set of principles that emphasize iterative development, customer collaboration, and continuous improvement. One of the key features of Agile project management is the daily and weekly standup meetings. These meetings help to ensure that everyone on the team is aware of the project’s progress and obstacles. As a result, all project stakeholders are up to date on every step of the project.

Powerful project tracker tool developed by Startechup

Startechup has developed a powerful project tracker tool that can help organizations keep track of time, budget and resources spent on projects. Through the tool our team members send weekly project plan and weekly wrap-up by email. We integrated data from common 3rd party in software development, like Bitbucket (similar to GitHub or Gitlab), communications on the project Slack channel. It helps clients, managers, employees to see the time they have left to complete a project, estimate the time required to complete each tasks, and make sure we stay compliant with budget and project timeframe. Startechup project tracker is a powerful tool, for clients and project managers, to monitor the progress of a project and ensure that it is on track. Startechup project tracker tool is a valuable resource for any organization that wants to improve its project management capabilities on software development projects.

Why Us?

We merge the European standard in our digital strategy and get your ux ui design delivered by one of the best UX design firm in the Philippines.

A human-centered company

Truly user-centered

We’re experts at understanding user needs and helping you fulfill your business goals. We’ll work with you to create a software development strategy that will take your business to the next level. Contact us today to get started.

International clientele 

We have worked with companies of all sizes, from small businesses to large enterprise organizations, and we have a deep understanding of the challenges and opportunities that come with digitizing your business.

Engineers at heart

We have the knowledge and expertise to help you navigate the ever-changing landscape of the digital World, and we’re dedicated to helping you succeed in building high quality products.

Competitive pricing

Our pricing policy is flexible, so it can fit a startup’s budget as well as a larger company’s. We also offer discounts for NGOs that are looking to build digital solutions. In addition, we have a number of tools and resources that businesses can use to get up and running quickly.

Inspired by best UX firms

For the past decade, our team has been researching and experiencing new products. This has given us a unique insight into the user experience. We believe that by providing the best user experience, we can make a positive impact on the world.

Our people come first

We value our team members by providing them with an empowering work environment that supports their professional, financial and spiritual growth. Our talented team members are the heart of our company, and we are committed to supporting them in every way possible.

Ready to Improve your Business?

Our passion is creating digital excellence.
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