Expertise

Deep Learning Services

Better data mining leads to improved products and insights. Our deep learning solution makes it easier to overcome business challenges, work effectively, and achieve high accuracy and transparency.

Get in touch to tell us about your specific needs.


Success stories

Amina Bank
Crypto bank with a headquartered in Zug, Switzerland.
#Finance
CHCH
Clear Street
A diversified financial services firm which modernizing the brokerage ecosystem.
#Finance
USUS
Dragon Capital
An investment firm that has navigated Ukraine’s rocky financial waters, seizing hidden opportunities for its clients.
#Finance
UAUA
Hastings Deering
Sells, services, rents and supports new and used Caterpillar machinery, equipment and power solutions.
#Manufacturing
AUAU
Hyposwiss
A Swiss Private Bank located in Geneva.
#Finance
CHCH
Maverix Securities AG
One of the leading Swiss Securities Houses in the Structured Products market.
#Finance
CHCH
Societe Generale
A French-based leading financial services group.
#Finance
FRFR
Sygnum
A global digital asset banking group, founded on Swiss and Singapore heritage.
#Finance
CHCH

Deep Learning Services

Natural Language Processing

  • Breaking down text into individual tokens and preprocessing it
  • Understanding relationships between words, phrases, and sentences
  • Modeling the sequential nature of language
  • Capturing dependencies between words over long distances
  • Recognizing named entities within the text
  • Determining the expressed sentiment or emotional tone
  • Generating coherent text and summaries

Voice And Speech Recognition

  • Conditioning raw audio data for further analysis
  • Constructing statistical models
  • Verifying a person’s identity based on their unique vocal characteristics
  • Fine-tuning models to individual speech patterns and accents
  • Designing and integrating voice recognition systems

Computer Vision

  • Preparing images for analysis
  • Identifying and extracting key image features, patterns, and structures
  • Representing images through feature vectors
  • Identifying objects within images
  • Recognizing image categories and classes
  • Enabling precise object counting and localization

Recommendation Systems And Search

  • Collecting and analyzing user interactions, feedback, and historical data
  • Understanding user preferences and interests
  • Extracting relevant features from user data and content items
  • Selecting and applying recommendation algorithms
  • Training recommendation models using historical data
  • Evaluating recommendation system performance using metrics
  • Generating personalized recommendations
  • Applying diversity-promoting mechanisms

Predictive Analytics And Maintenance

  • Leveraging historical data to identify recurring patterns or anomalies
  • Conducting cohort analysis to group individuals
  • Creating digital twin models to simulate real-world systems
  • Forecasting future health and performance
  • Optimizing maintenance schedules and strategies

Expert Systems

  • Designing and constructing ontologies
  • Developing intelligent agents or virtual assistants
  • Implementing algorithms to generate plans and action sequences
  • Incorporating probabilistic reasoning or fuzzy logic techniques
  • Implementing techniques like explainable AI (XAI)
Show All

Why You Need a Deep Learning Solution

  • Improved Decision Making
  • Better Customer Experience
  • Outstanding Automation and Efficiency
  • Fraud Detection and Security
  • Product Innovation and Development
  • Stay Adaptable

Сan you instantly process large bulks of up-to-date data to make decisions? Deep learning algorithms analyze vast amounts of information from various sources, extracting meaningful insights and patterns humans might overlook. Whether predicting customer behavior, optimizing operations, or identifying market trends, our experts will provide valuable insights to guide strategic planning.

Want to improve customer experience in the long term? Change the way you examine and use information with deep learning algorithms. Algorithms analyze client data like purchase history, browsing patterns, and social media interactions. Thus, they offer targeted recommendations, personalized promotions, and proactive support. Build stronger customer connections, increasing satisfaction, loyalty, and lifetime value.

Automated repetitive tasks and streamlined business processes are your keys to increased efficiency and cost savings. Deep learning algorithms reduce the need for manual intervention — from data entry and document processing to managing customer queries. Let’s handle routine tasks quickly and accurately, freeing human resources to focus on more strategic initiatives. This approach will improve productivity and motivate your employees.

Detecting patterns and anomalies in data has never been easier. It’s beneficial for any business, especially ones related to finance, cybersecurity, or e-commerce. Our specialists assist companies in analyzing large volumes of transaction data, user behavior, and network activity. Identify suspicious schemes in real time and get alerts about potential security threats. Mitigate financial losses and maintain trust with your customers and partners.

Running out of ideas for new products or features? Deep learning models analyze customer feedback, market trends, and competitor data, accelerating product innovation. Recognize emerging trends, uncover latent demand, and anticipate future market shifts to develop innovative products and services.

Deep learning solutions continuously learn and evolve based on new data and experiences. Unlike traditional algorithms requiring manual adjustments or retraining, they automatically update their parameters and refine predictions. Such flexibility makes it possible to deploy solutions that effectively handle evolving environments. Address a wide range of business challenges and opportunities with deep learning.


Process

Our Deep Learning Development Flow
00
01
Task Discussion and Data Collection

We discuss the task our deep learning service should perform. Also, it’s crucial to select appropriate architectures and techniques well-suited to the data and problem domain. Our experts collect labeled or unlabeled data suitable for training.

02
Designing the Neural Network Architecture

The next step is to design the architecture of our deep learning solutions. It involves selecting the neural network type and determining the number of layers, activation functions, and other critical architectural components.

03
Model Training and Evaluation

Deep learning model training involves feeding the data through the network. This way, we adjust the model’s parameters based on the computed error to update it. Then, our team assesses performance metrics like accuracy, precision, recall, and others depending on the specific task.

04
Hyperparameter Tuning and Optimization

Deep learning models often require extensive hyperparameter tuning and optimization for optimal performance. We employ techniques like regularization, dropout, batch normalization, and learning rate scheduling to achieve that.

05
Deployment and Integration

Once we’re satisfied with the model’s performance, it’s ready to deploy into production environments. Then, we can make predictions on new, unseen data. Our experts integrate the model into the existing software systems and create APIs for real-time inference.


Technology stack

Our Tech Stack for Deep Learning Development

Programming Languages

  • Python
  • R

Frameworks and Tools

  • PyTorch
  • TensorFlow
  • Keras

Visualization

  • PowerBI
  • Tableau
  • Zoho Analytics

Databases for Deep Learning Services

  • SQL (PostgreSQL, MySQL)
  • NoSQL (MongoDB, Cassandra)

Data Warehousing

  • Amazon Redshift
  • Google BigQuery

Cloud Platforms

  • Microsoft Azure
  • AWS
  • Google Cloud

Our Case Studies

  • TravelPlanBooker
  • Compliance Aspekte
  • Muuvr
Advanced travel planning tool
AI solution for the compliance domain
Community building platform

Facts about
S-PRO

250+
Team members
300+
Projects delivered
95%
MVPs converted into solutions
6 / 8
Countires / Offices worldwide

Why Customers Choose Us

01
Expert Team

Our deep learning company comprises top-tier data scientists, machine learning engineers, software developers, and domain experts collaborating to deliver innovative solutions. Partner with S-PRO to leverage the full capabilities of deep learning technology. Gain significant positive transformations in your business operations and outcomes.

02
Robust Data Security

As a leading provider of deep learning as a service, S-PRO follows the highest data security and compliance standards. With advanced data protection measures, our experts safeguard sensitive information. Thus, we ensure confidentiality, integrity, and availability throughout the project lifecycle.

03
Quick Turnaround Time

At S-PRO, we deliver AI and ML services on schedule and within budget, providing you with a competitive edge. Our streamlined processes, Agile methodology, and efficient project management practices help us accelerate development timelines without compromising quality.

04
Industry Expertise

Let’s develop custom deep learning solutions that drive tangible business value. S-PRO has extensive experience working with companies across various industries. These include fintech, renewable energy, healthcare, hospitality, manufacturing, and logistics. Thanks to our domain expertise, we understand unique challenges like optimizing financial processes and enhancing patient care.

05
Convenient Time Zone

With headquarters in Switzerland, additional representations in the Netherlands and the USA, and R&D centers in Poland and Ukraine, we support clients across different time zones. Our team ensures seamless collaboration, whether scheduling meetings, addressing queries, or providing project updates.

06
Client Satisfaction

At S-PRO, client satisfaction is our top priority. We take a proactive approach to understanding your unique requirements, challenges, and goals. Our team maintains open communication lines, keeping you involved and informed every step of the way. We actively seek feedback to address any concerns and make necessary adjustments.


Frequently Asked Questions

What are the benefits of deep learning for my business?

Try deep learning services if your business requires improved decision-making through data-driven insights. Also, you get enhanced customer experiences with personalized recommendations, streamlined operations with automation, and better fraud detection and security measures.

How does deep learning work?

A deep learning company trains artificial neural networks to learn from vast amounts of data. This way, it recognizes patterns, makes predictions, and performs tasks without explicit programming. The technology entails feeding data through interconnected layers of neurons. The network adjusts its parameters to enhance performance and minimize errors using iterative optimization algorithms.

How much does it cost to implement deep learning solutions?

The cost of implementing deep learning solutions depends on the project’s complexity and the amount of data available. Other critical considerations include the required expertise and the infrastructure needed for training and deployment. Get in touch with our experts for a tailored estimate based on your specific requirements.


Get in touch

Ready to discuss your project?

Share your ideas, findings, and questions with us. We’re excited to extend our expertise to your project. After form submission, we’ll respond you within 24h.

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    R&D centers
    Zug, Switzerland (HQ)
    Dammstrasse 16, 6300
    Zurich, Switzerland
    Hardturmstrasse 161, 8005
    Lodz, Poland
    Zachodnia 70, 90-403
    Lviv, Ukraine
    Heroiv UPA 71, 79000
    Kyiv, Ukraine
    Verkhnii Val St, 24, 04071
    Business representatives
    Salt Lake City, USA
    Kiln SLC, 26 S Rio Grande St, UT 84101
    Austin, USA
    11801 Domain blvd., 3rd Fl, Austin, TX 78758
    Amsterdam, Netherlands
    Science Park 608, 1098 XH
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