Stermedia

Machine Learning & Software Development

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Since 2009 we have been helping companies and startups throughout Europe and the US to engineer powerful applications, including AI, with user-friendly UX and UI.

We trained histopathological scanners to detect cancer fast with over 89% accuracy. We improved efficiency in a German car factory by 23% and launched an early warning system for catastrophic events in Poland.

86% of our clients chose Stermedia based on recommendations.

$50 - $99/hr
10 - 49
2009
Locations
Poland
Ostrowskiego 13, Wroclaw, Lower Silesia 53-238
+48 71 723 43 22
United States
4445 Corporation Lane, Suite 291 , Virginia Beach, Virginia VA23462
+1 757 754 3355

Focus Areas

Service Focus

90%
10%
  • Artificial Intelligence
  • Mobile App Development

Client Focus

50%
40%
10%
  • Large Business
  • Medium Business
  • Small Business

Industry Focus

50%
40%
10%
  • Automotive
  • Business Services
  • Healthcare & Medical

Stermedia Clients & Portfolios

Revolutionizing Public Health with AI and ML. Sanitary Inspection Case Study
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Revolutionizing Public Health with AI and ML. Sanitary Inspection Case Study
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  • Revolutionizing Public Health with AI and ML. Sanitary Inspection Case Study screenshot 3
$50001 to $100000
35 weeks
Healthcare & Medical

Public Health Department

One of the European Public Health Institutions oversees sanitary safety in the country, handling various activities from hygiene and environmental health to epidemiology. 

This institution also regulates the quality of food and consumer products, ensuring their safe introduction to the market.

Manual Notification Handling

When a food manufacturer introduces a new product to the market or changes the composition of an existing one, they must send a special notification to the institute.

Officials receive and manually verify the correctness of these notifications by checking:

  • Whether the product’s chemical composition meets specific legal requirements.
  • Whether the manufacturer has informed about the product’s origin.
  • Whether the label is translated into Polish.

And many other criteria required by national and European law.

After checking all variables, officials either approve the correct application or reject it if it fails to meet any requirement.

Our system automatically detects and signals any irregularities and generates a set of recommendations for officials: it advises whether a submission can be accepted or not, highlighting the reasons for rejection.

Automating and Simplifying the Process

The Public Health Institution faced the challenge of automating and simplifying the notification verification process for new products.

The existing process was time-consuming – the staff, despite their high competence, could only process several applications per day, while tens of thousands were received annually.

Additionally, the flood of notifications was irregular; half of the year’s notifications could arrive in one month, creating more delays.

The consequences were significant. The prolonged queues risked allowing products with unapproved substances to enter the market, endangering consumer health and jeopardizing the reputation of producers.

There was a need to replace manual labor with an automated system to significantly increase efficiency and allow employees to utilize their potential better.

A Machine Learning solution was needed.

As artificial intelligence specialists, we were approached by Sotfiq – our shareholder and primary technology provider for the Public Health Department – to design a system to address this issue and elevate the institution to a new technological level.

Understanding the Problem Thoroughly

We began the project with consultations with the Institute’s employees.

Initially, we met to establish a common communication language. This was important because they used many terms that meant something different in ordinary language and within the department.

And vice versa – since officials don’t work with new technologies daily, we also had to explain and standardize our terminology.

The second part of the workshops focused on profoundly understanding the institutes’ work environment. We went step by step through the notification handling process, identifying areas for improvement along the way.

We also delved into relevant legal regulations to navigate the process effectively, from European journals to national legislation.

Only after establishing common, uniform terminology and a complete understanding of the process and legal environment did we move on to proposing solutions.

We conducted a week-long brainstorming session with employees, where we suggested appropriate technologies for various process stages.

The employees then evaluated their practicality and compatibility with the institution’s operational realities, and a final vision of the solution was crafted.

Designing the System

We designed a solution that automates the label verification process using OCR (Optical Character Recognition), CV (Computer Vision), and NLP (Natural Language Processing).

OCR and CV technologies automatically recognize label contents, including text, graphics, and ingredient tables.

NLP is used for further analysis of label contents; after being processed by OCR and CV, it enables a deeper understanding of the content, including identifying threats and irregularities.

We developed a series of automatic verifiers that classify information on labels based on established criteria.

Results

The initial results came during the workshop phase: our external perspective on the processing showed how much the process could be improved, not just technologically.

The workshops provoked employee discussions about the process, from common naming to universal practices in customer service. Together with our client’s employees, we standardized and organized the knowledge within the organization.

More importantly, our client was provided with a comprehensive project specification encompassing a complete technical solution, the necessary infrastructure for its maintenance, and the essential team for its implementation.

The specification could serve as part of the tender documentation or as the foundation for development with their current technology suppliers.

However, our workshops and solution proposal pleased the employees so much that they decided to commission us to create this system.

From Vision to Validation: Wakeb's AI & Image Recognition Journey
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From Vision to Validation: Wakeb's AI & Image Recognition Journey
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  • From Vision to Validation: Wakeb's AI & Image Recognition Journey screenshot 3
$10001 to $50000
4 weeks
Transportation & Logistics

Wakeb had a business idea to build an innovative image recognition solution for the future. We verified their vision and created a ready-to-go solution that they can now present to private and public investors.

Wakeb Technology 

Wakeb, headquartered in Riyadh, is a pioneering force in the region’s artificial intelligence and machine learning fields.

Their future-oriented projects are backed by deep research and international support, ensuring their delivery sets industry benchmarks for innovation and quality within the established timelines.

Our shared appetite for tomorrow’s tech and easy-going business savvy got our partnership rolling. 

Crafting Products for Tomorrow

Wakeb envisioned a futuristic Image Recognition Platform that could autonomously evolve and shift through various data types, including spotting animals, vehicles, and people.

The founders sensed the business potential for such tech, seeing its application across diverse sectors—from industrial production to advanced security systems, right through to Smart City solutions.

With Wakeb’s team fully committed to their ongoing projects, they needed a tech partner to turn the business vision into a tangible product that could take on the world commercially.

They required an MVP that was more than just a proof of concept for hypothesis testing; it needed to be a durable foundation for further development.

We aimed to design something robust and scalable from the outset, not just a temporary fix.

Quite a challenge, no?
 

Refining the Scope: Business Vision vs. Technical Viability

From a futuristic idea to a finished product is quite the journey—first, we had to figure out if the concept was feasible and, if so, with what resources.

Crucially, every cutting-edge AI project needs a unique R&D plan because there are no ready-made solutions. We’re making discoveries as we go. 

That’s why we brought in Jan. He’s been working with AI since 2016 and is excellent at putting all the pieces together to see the whole picture. He took a deep dive into the project’s assumptions and started the research, exploring everything from existing commercial solutions to academic papers on image detection.

After 20 hours of R&D, Jan returned with a verdict: without a clearly defined end-user, crafting Wakeb’s perfect vision wasn’t possible at this stage.

Instead, he suggested simplifying the concept to a model with a basic API that could easily integrate and detect three key object classes. This kind of product would give us a strong foundation to build on and improve in the future.

This product would give us a solid foundation to build on and improve. With this MVP, Wakeb could confidently enter the market to seek investors or end customers.

The Wakeb crew liked that sound, so we rolled up our sleeves and got down to development.
 

Four Weeks of Crafting The Future

For four weeks, we were crafting the solution; we introduced our Scrum process, complete with planning sessions and daily retrospectives. Wakeb was open to following our framework, and we started working together on the solution.

Wakeb provided the business know-how, reviewed each product version, and corrected the project trajectory.

We handled the coding and ensured everyone from the business end to the tech team stayed in the loop. 

Week 1: Discovery

  • Looking into the latest tracking techniques.
  • Gathering data sets.
  • Testing out chosen models.

Week 2 and 3: Implementation

  • Putting the features into a script.

Week 4: Presentation

  • Creating an API that bundles the components. 
  • Setting up a process for easy deployment on various devices.
  • Making unique visualizations for easier object identification.
     

From Concept to Practical Solution

Wakeb’s received a one-size-fits-all solution ready to roll out in all sorts of places, from factory floors to airports and even smart city tech that monitors the crowd and traffic.

This model’s flexible; with a bit of work, it can fit right into different market spots. It’s good to go and can be customized wherever it fits.

Just needs the right moment to shine. 🙂

Looking ahead, we also proposed Wakeb a bunch of ideas to make the app even better, like making it work on specific devices or as a web app.

We’ve sketched out a game plan for growing the project further with heatmaps, image classes, and an intelligent feature that learns from your pictures or descriptions.

So, what’s in store for Wakeb?

With their brand-new AI Image Recognition tool ready to be showcased to investors and governments, we’re much closer to finding out!

Our case studies
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Our case studies
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$50001 to $100000
10 weeks
Automotive

Our portfolio you can see at https://stermedia.ai/case-studies/

We have experience in AI/Machine Learning and Deep Learning services for

  • Industry/Automotive
  • HR
  • Medicine
  • and other business like Startups

Stermedia Reviews

4.5 2 Reviews
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  • Artificial Intelligence
  • Mobile App Development
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Martin Mathews

Never found a team like this that was so easy to work with.

Rating Breakdown

  • Quality
  • Schedule & Timing
  • Communication
  • Overall Rating

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Review Summary

We had quite a complex vision and we needed a team that was proficient with technologies like AI/ML, and that’s when Stermedia came along. The team was quick to understand our requirements and even suggested suitable changes that we thought would make the product even better. During the development, we held various brainstorming sessions, and in each of them, we received what was discussed earlier.

What service was provided as part of the project?

Artificial Intelligence

Describe your project in brief

The ai-based system that helps make food delivery faster leading to more efficiency. The system will intelligently calculate the distance, find, and assign drivers for picking up and dropping food at respective locations.

What is it about the company that you appreciate the most?

They went to great lengths to make our solution unique and something that will stand out from the rest.

Their competitive analysis also helped us analyse our product better and come up with better versions.

What was it about the company that you didn't like which they should do better?

When we were working with them, a few of their internal processes caused some minor delays at the beginning.

But, all of it was sorted as we moved forward.

Matthew Prince

Understood our tight timelines and stuck to them.

Rating Breakdown

  • Quality
  • Schedule & Timing
  • Communication
  • Overall Rating

Project Detail

$10001 to $50000

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Review Summary

We needed HR software to tackle our internal processes and approached Stermedia for this. They not only suggested important features to be included that we missed but also suggested the correct tech stack for our growing organization. Their work was so good that it increased proficiency and took the load off from our Recruiting managers.

What service was provided as part of the project?

Mobile App Development

Describe your project in brief

Developed HR software for our business. It includes features that handle recruitments, hiring, payroll, performance evaluation and more.

What is it about the company that you appreciate the most?

Their in-depth knowledge of various tech stacks helped us pick the right one and reduce our expenditure considerably.

What was it about the company that you didn't like which they should do better?

They stood up to our expectations. So, no complaints.