Artificial Intelligence Development Company
Develop AI and ML software tailored to your business requirements.
Deliver agile business solutions using data science, machine learning, and artificial intelligence technologies.
- Automate repetitive tasks
- Reduce downtime for complex operations
- Accelerate decision-making through better access to deep data analysis
- Provide 24/7 customer support via intelligent chatbots
Development of Artificial Intelligence: Industries
Artificial intelligence has penetrated all areas of business and is changing the way progressive companies work. Our team of data engineers, ML engineers, and data scientists creates custom AI software solutions to deliver a sustainable AI-driven ecosystem for startups, SMBs, and enterprises in the following industries:
FinTech
Renewable energy
Healthcare
Hospitality
Manufacturing
Logistics & transportation
Why Choose S-PRO as Your AI Software Development Company?
S-PRO is a trusted AI and machine learning development company that offers a wide range of advanced software services to help businesses automate their day-to-day operations and efficiently overcome complex challenges.
We can integrate AI into your current infrastructure to increase customer engagement, eliminate human error, and maximize your profits. S-PRO AI developers have years of experience handling everything from building tools to securing channels.
Joel Sonderegger
Founder at Voa Labs
Zurich, Switzerland
Our AI and Machine Learning Development Services
S-PRO’s AI development services help businesses streamline decision-making and automate operations. Contact our artificial intelligence software company to expand your own engineering teams and create AI applications, software solutions, and machine learning algorithms that solve business problems in many spheres.
- Machine learning solutions design & development
- ML system blueprints
- Rapid model training and experimentation
- Automated data and model governance
- ML/data pipelines
- Online/batch inference
- Natural language processing
- Text analysis
- Text classification
- Text summarization
- Text generation and completion
- Computer vision
- Image and video classification
- Image and video segmentation
- Object detection and localization
- Generative modeling
- Expert systems
- Ontologies
- AI agents
- Algorithmic planning and optimization
- Voice and speech recognition
- Audio classification
- Text to speech
- ASR (automatic speech recognition)
- Neural networks
- MLP (multi-layer perceptrons)
- CNN (convolutional neural networks)
- RNN (recurrent neural networks)
- GNN (graph neural networks)
- Transformers
- Recommendation systems and search
- Content-based recommendations
- Feedback-based recommendations
- Content matching
- ML-powered search
- Reverse search (image, audio, video)
- Predictive analytics & maintenance
- Time series analysis
- Clustering
- Automated data insights
AI and Machine Learning Integration & Technologies
We use third-party AI software APIs to create a personalized approach for existing AI-based apps.
Chatbot API
Integrate Chatbot APIs Azure Bot Services, Google Conversational AI, and Rasa into an existing website or app to automate customer service requests.
Facial Recognition API
Integrate Deep Vision AI, FaceFirst, Trueface, or Amazon Rekognition for face detection/recognition to support security and user authentication.
Natural language processing APIs
Integrate Google Cloud Natural Language API to derive insights from unstructured text.
AWS ML Solutions
Integrate Amazon Sage Maker to build, train, and deploy machine learning (ML) models with fully managed infrastructure, tools, and workflows.
Languages:
Visualization:
DBMS:
Frameworks and tools:
Cloud Platforms:
Architectures:
On-premises, cloud, hybrid
Algorithms:
Supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction, anomaly detection, pattern search), ensembles, reinforcement learning
Artificial Intelligence, Machine Learning, and Deep Learning Services: S-PRO Process
Discovery phase
Explore and evaluate the client’s infrastructure, data sources, and services. Assess if there’s enough data to start ML R&D and define key metrics. Start prototyping the machine learning MVP.
Reliable data workflows
Apply a relevant modern data stack to enable a stable and continuous data flow for available data sources. This opens up opportunities to seamlessly connect to analytics, alerting, and the ML dataset generation process.
Modeling and experimentation
Develop and train the ML model according to defined product goals. Evaluate and integrate the prototype into the real environment to collect feedback, perform A/B testing, and adjust the model. This is an iterative step.
ML pipelines and deployment
Build a scalable and resilient production workflow that automates the whole ML lifecycle from model (re)training to deployment.
Operate, monitor, and improve
Ensure smooth operations, minimize costs, and explore ways to optimize quality and performance. This is an iterative step that might also trigger steps 2 and 3.
What do you get from AI and ML development?
Artificial intelligence is not just a buzzword. It is a powerful tool that helps businesses solve problems and optimize internal processes.
Incorporating AI into business processes greatly simplifies operations and saves time on performing routine, repetitive tasks. AI-driven systems increase productivity and help a company stand out from the competition.
Our artificial intelligence app development company provides advanced AI and ML services for enterprises and helps them:
- Improve efficiency at a lower cost
- Support business decisions
- Analyze the market and trends
- Customize and personalize market offers
- Identify and mitigate risks and prevent fraud
Your business is sure to benefit from our AI development services. Results may vary by industry. Healthcare companies, for example, will benefit from automated medical diagnostics, while financial services companies will benefit from superior fraud detection and security.
Our Latest Artificial Intelligence Projects
Renewable energy
Birmingham, UK
Energy market insights
Modo Energy is an energy asset analysis platform that provides users with data, research, and benchmarking tools to get the most out of their energy storage. The data science team builds predictive models and creates data-driven insights based on various data sources such as weather forecasts, energy markets, IoT, and Smart Grid APIs. Modo's powerful analytics helps battery owners to maximize asset utilization and profits.
Contributions: Data harmonization and normalization, energy market analytics and insights, performance forecasts, benchmarking
hi-tech
Zug, Switzerland
Coming soon
Application for athletes
Muuvr connects professional athletes and amateurs into one collaborative digital environment and motivates them to take ownership of a more active life through a powerful combination of exercise tracking, community engagement, and exclusive rewards. Our AI model creates rich user profiles based on activities, location history, and social connections to suggest mates and relevant upcoming competitions. Also, custom algorithms are applied to verify users' identities, detect potential cheating, and ensure that participants follow the race rules.
Contributions: User profiling, recommender system, user identity verification, anti-spoofing
Frequently Asked Questions
QA1
I have no experience with AI development companies and machine learning software companies. What challenges may I face while developing and launching a product with S-PRO?
With the support of our team, you will have no problem developing and launching a custom AI solution for your business. We will communicate closely with you at every stage of the software development life cycle and will be happy to answer all your questions.
QA2
How much does it cost to develop artificial intelligence software?
The cost of artificial intelligence in software development is determined by many factors:
- Scale of the project
- Set of technologies involved
- Number of development hours
- Your business goals
- And more
Our team assists you in every possible way, balancing the cost and quality of your product for maximum satisfaction.
To get a concrete assessment of your future AI solution, contact us and we will quickly provide you with all the information you need.
QA3
How long do machine learning services companies typically spend developing and implementing ML solutions?
Depending on the scale of the project, implementation takes from several weeks to several months. At S-PRO, we use an Agile development approach, thanks to which we deliver projects on time and with no loss of quality.
Contact Us
Our representative will contact you within 24 hours, we will sign an NDA to keep your ideas confidential and discuss the main requirements of the project. After that, our analysts and developers will carefully study them, and together we will come up with the next move.
Simply fill out the form or email us at hi@s-pro.io
Or call us +41 79 535 63 77Representative Offices
Igor Izraylevych
CEO & Co-Founder
Zürich, Switzerland
Andrew Fisiuk
COO & Co-Founder
Warsaw, Poland
Let’s discuss your project