Artificial Intelligence (AI) Software Development
Get end-to-end custom AI solution development services from an award-winning provider and reliable IT innovation partner!
Unicsoft’s ISO certified team is well-equipped for custom AI solutions development compliant with EU AI Act & GDPR regulations.
The global Al market is projected to account for USD 407.0 billion by 2027, growing at a CAG of 36.2%.
Our Artificial Intelligence Expertise Covers All Use Cases
Text analytics
Natural language processing
Speech recognition
Emotion recognition
Image recognition
Natural language generation
Virtual agents
AI-optimized hardware
Decision management and AI-analytics
Bio-metrics
Content automation (including SEO copywriting)
Recommendation systems
Computer vision
Empowering Every Industry with Next-Gen Custom AI Solutions
Sentiment Analysis in Consumer Industries
Real-time Customer Recommendations
Computer Vision for Customer Behavior Tracking
Image Recognition for Shelf Monitoring
Predictive Machine Maintenance
Fintech Fraud Detection and Analytics
Risk Assessment in Insurance
Investment Predictive Analytics
Computer Assisted Diagnosis
Smart Prediction and Digital Supply Network
Fraud Detection in Gaming
If you are looking for a custom AI development company, contact us for a free consultation.
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Potential challenges you need to be aware of
This issue has nothing to do with development. However, it often inhibits the best results. The lack of people who, at least in general, understand the scope of the technology and the implementation process leads to frustration and the inability to correctly implement a completed solution into the business process.
The quality of work for AI solutions directly depends on the quality and volume of data for training ML systems. In some specific projects, as well as entire industries like industrial applications, it is simply impossible to collect enough data. Also, you should not only have data but also be able to store massive amounts of information for its analysis. This creates an additional load on the existing infrastructure.
It’s not enough to have access to big data. The data should also be properly organized, and the datasets should not include data impurities that are not related to the ML model training subject. The work of a data analyst is imperative before developing a custom AI solution.
The speed of system training based on machine learning is proportional to the computing power at the disposal of these systems. Your AI developer can create an ML model and test it, but they cannot provide the processing power. This means you need to consider an investment in infrastructure or prepare to achieve results over a sometimes very long period of time.
AI development services today are the new black. Thousands of enterprise customers align themselves with the few who can do a job well. This means that, unlike a normal development cycle, you need to be aware of the fact that it will not be possible to start implementing the project quickly.
Considering that most ML models operate on a database describing user behavior and identity, this data has to be protected from leaks. The GDPR and other regulations expressly prohibit the transfer of this data to third parties. This means that any work of ML models is possible only in an environment controlled by the customer (on corporate servers, without transferring any data to developers).
Why Unicsoft?
3 domains that drive AI adoption across multiple industry use cases
The technology Unicsoft uses to create AI systems
DL Frameworks
Neural Networks (NN)
Algorithms
Supported Databases
Supported Cloud Providers
Toolkits
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F.A.Q
- Data quality and volume
- Proper data organization (labeling, cleanup, etc.)
-Computational power of the project infrastructure
- Data privacy and security
Each challenge’s level of difficulty varies from project to project and can be planned and estimated in advance by a team of professionals.
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