Unlock new possibilities, boost productivity, and automate your business processes using machine learning solutions.
Regardless of what industry you operate in, our AI-based solutions can help you achieve higher levels of efficiency and keep ahead of your competition.
Unlock new possibilities, boost productivity, and automate your business processes using machine learning solutions.
Regardless of what industry you operate in, our AI-based solutions can help you achieve higher levels of efficiency and keep ahead of your competition.
Tailor-made machine learning solutions developed by our in-house experts will help you reach your business goals. Whether through augmenting human creativity or reaching new levels of efficiency, machine learning promises to give your organization a boost.
You can optimize your business processes by applying natural language processing, computer vision, or recommendation algorithms. We build specialist teams around these areas of expertise.
Highly skilled people are the key to our success. We help develop their skills in natural language processing, computer vision, recommender systems, and MLOps.
Our ML experts work alongside product design teams, data engineers, Python developers, and DevOps. Synergy across specialist departments means we can deliver complete solutions.
We follow best practices based on our previous projects. Dedicated software tracks model training and quality which influences our future collaborations.
Natural language processing (NLP) lets you extract, organize, and understand information from written text. NLP solutions are especially useful when faced with information overload.
NLP can be used to improve text grammatically, automatically paraphrase, deliver smart replies, and translate content into multiple languages.
NLP techniques we apply include:
Modern deep learning methods allow you to understand the content’s overall context with amazing accuracy. The efficiency of searches in your system is improved when you can quickly match a phrase’s context, not just its literal use.
Our machine learning engineers build customized systems for the classification, detection, and location of objects on images or video.
Image segmentation and analysis can be used to automatically monitor an environment; tracking the condition of power lines, pipelines, nature, pollution, etc. Based on a detailed analysis of the results, a solution can be built that quickly responds to the current conditions.
Visual searches can be integrated into your system to allow users to look up information based on images. The search function presents users with visually similar results. This can be used with a diverse range of images including clothing, furniture, machine parts, and even lost animals.
We build customized computer vision solutions using a range of techniques—from standard numerical methods to deep learning. Our models are deployed in the cloud or on a mobile device.
A good product recommender system can lead to happier customers and more sales. But, relying only on sales history doesn’t leverage your data’s full potential.
When creating recommender systems, our teams follow an in-depth analysis of product features, uses, and correlation with factors related to user characteristics. This allows you to build a better training set for data-learning algorithms which leads to more effective recommendations.
We use an experimental and results-based approach. Results are measurable based on sales results and user satisfaction. Our specialists can help you develop and improve the process by continuing to measure the quality of recommendations and adding relevant analytics.
Develop repeatable and reliable processes for your machine learning models.
We can help you automate training processes, implement standards, and support you with model monitoring and fine-tuning through:
Continuous monitoring ensures the quality of the predictions served. In quickly changing environments, monitoring is essential to guarantee efficient results.
To ensure the well-organized monitoring of a model, it is important to optimize the network (through pruning, quantization, distillation model, etc.), choose the way of serving (GPU vs CPU), and develop a scaling methodology. Our ML Ops specialists will be there to offer continued support and maintenance help during deployment and beyond.
Natural language processing (NLP) lets you extract, organize, and understand information from written text. NLP solutions are especially useful when faced with information overload.
NLP can be used to improve text grammatically, automatically paraphrase, deliver smart replies, and translate content into multiple languages.
NLP techniques we apply include:
Modern deep learning methods allow you to understand the content’s overall context with amazing accuracy. The efficiency of searches in your system is improved when you can quickly match a phrase’s context, not just its literal use.
Our machine learning engineers build customized systems for the classification, detection, and location of objects on images or video.
Image segmentation and analysis can be used to automatically monitor an environment; tracking the condition of power lines, pipelines, nature, pollution, etc. Based on a detailed analysis of the results, a solution can be built that quickly responds to the current conditions.
Visual searches can be integrated into your system to allow users to look up information based on images. The search function presents users with visually similar results. This can be used with a diverse range of images including clothing, furniture, machine parts, and even lost animals.
We build customized computer vision solutions using a range of techniques—from standard numerical methods to deep learning. Our models are deployed in the cloud or on a mobile device.
A good product recommender system can lead to happier customers and more sales. But, relying only on sales history doesn’t leverage your data’s full potential.
When creating recommender systems, our teams follow an in-depth analysis of product features, uses, and correlation with factors related to user characteristics. This allows you to build a better training set for data-learning algorithms which leads to more effective recommendations.
We use an experimental and results-based approach. Results are measurable based on sales results and user satisfaction. Our specialists can help you develop and improve the process by continuing to measure the quality of recommendations and adding relevant analytics.
Develop repeatable and reliable processes for your machine learning models.
We can help you automate training processes, implement standards, and support you with model monitoring and fine-tuning through:
Continuous monitoring ensures the quality of the predictions served. In quickly changing environments, monitoring is essential to guarantee efficient results.
To ensure the well-organized monitoring of a model, it is important to optimize the network (through pruning, quantization, distillation model, etc.), choose the way of serving (GPU vs CPU), and develop a scaling methodology. Our ML Ops specialists will be there to offer continued support and maintenance help during deployment and beyond.
We’ll provide you with a scalable, external team of qualified ML experts.
Our machine learning and data engineering experts can partner up with your existing team when you need to scale up your project.
We’ll take care of the entire project for you, from development to deployment.
Implementing machine learning has never been so effortless. Our team will take charge of the product scope and the whole development process, building iterative prototypes and integrating the final ML solution into your existing infrastructure for you.
We’ll suggest the best ML solutions to unlock the value of data.
Following an in-depth analysis of your current capacities and business needs, we will provide you with guidelines on what machine learning model, application, and architecture can best help you achieve your business goals.
Since 2005 we’ve been helping companies around the world find the right software talent for their projects. We specialize in machine learning services and can make sure you find the skills and knowledge that your product needs.
We’ve always placed a special emphasis on Python. Today, we have 350+ developers and are proud to say we’re the largest Python software house in Europe.
Due to its versatility, flexibility, and comprehensiveness, Python is the perfect fit for machine learning solutions.
The language's open-source and high-level nature as well as its numerous libraries provide the necessary tools for anyone working with the technology, whether it’s reinforcement, supervised, or unsupervised machine learning problems they’re dealing with.
on the independent, obejctive B2B research platform Clutch.co with an average rating of 4.8 from over 80 client reviews
On your path to greater velocity and flexibility, we’ve got you covered every step of the way.
Smart move. By all means keep your existing team if it works for you. Your external team will simply complement what you’re already doing while bringing in a fresh perspective and greater scalability.
You can scale the team down or move development entirely back in-house.
We’ve been on the market since 2005 and 99% of our clients are outside of Poland, so we have lots of experience cooperating across cultures.
You don’t want to just ship features; your software should help your business succeed in the market. That’s why we’ll begin our cooperation with a discovery process to understand what you’re building, for whom, and why.
Enroly provides the first CAS, visa, and arrival automation platform of its kind.
The company’s products are used in over 100 countries. They make post-acceptance administration simple and secure, allowing universities to easily implement the solutions into their existing systems.
dMass connects industry to radically transformative innovation.
The company's platform serves as a hub where innovators, industry leaders, and investors collaborate to find innovative solutions that spur economic development and help the environment, while being profitable at the same time.
Founded in 2018, Wunderman Thompson is a global marketing communications agency based in New York.
WPP Open Brand Guardian, created by Wunderman Thompson, is an AI-driven platform that gives marketing, creative, and production teams total content quality assurance at scale.
Expert knowledge and understanding of machine learning techniques
C-level executives, product managers, tech leads, and founders from around the world have appreciated our help in delivering world-class products under strict deadlines.
The feedback we get from our clients is consistent. We take real ownership. We happily serve as mentors in tech and Agile. We listen to real business needs instead of just shipping features.
Working with STX Next felt like a strategic partnership rather than outsourcing. From consultation through to development and delivery, the STX Next team integrated seamlessly within our own team, in a challenging technical area, and delivered to the same standards we expect from our internal developers.
We were able to scale up instantly, adding developers with the specific technical expertise that we needed and then rotating them out when the problem had been solved. At a much smaller firm that would have been very difficult. So far there hasn’t been any challenge that STX Next hasn’t been able to overcome.
We met STX in the beginning of the latest cryptocurrency boom and their contribution was vital to us when managing that extraordinary demand. They quickly adapt to the company and domain, show true ownership by always acting proactively towards solution and deliver high quality work even under stressful conditions. STX is now one of the most essential partners of our business.
They have a genuine interest in their client’s business environment. Their Scrum teams were more like an extension of our own team than an external entity. They don’t force a template on their client, focusing instead on delivering software in a way that compliments the client’s own process. Our work together resulted in award-winning products that we would not have otherwise delivered.
The STX Next team has proven itself to be a solid and reliable partner in software development for the Tiqets platform. Although Tiqets’ main development team is located in the Amsterdam office, having dedicated development teams in Poland gives the company the flexibility it requires in the rapidly growing market that Tiqets operates in.