AI Software Development Services
Get customized AI solutions quickly
Customize with Extra ML Features
Our off-the-shelf solutions are easily tailored to your specific needs by incorporating any of the Machine Learning models we offer
Predictive ML Models to Maximize Business Outcomes
Use the potential of machine learning to predict customer churn, make personalized recommendations for the best product or service (Next Best Offer), and identify early signs of significant future events for risk management.
- Ensemble ML Model aggregates predictions from diverse models to improve accuracy
- Time Series ML Model analyzes data points collected in chronological order to understand underlying patterns, trends, and seasonalities in time-stamped data
- Graph-Based Model recommends products, content, or services by exploring the connections between users and items within a network
- Context-Based Model provides personalized suggestions based on the user's specific context, such as location or time
- NLP (Natural Language Processing) enables computers to understand and respond to human language, including sentiment analysis for emotion detection, personalized text recommendations, concise summarization of extensive texts, and creating relevant content
Segmentation ML Models to Personalize Customer Service
Drive customer loyalty and sales with robust ML models that classify customers and deliver targeted content, services, or products.
- RFM Analysis segments customers using Recency, Frequency, and Monetary value to identify nuanced patterns and predict purchasing behavior
- Unsupervised Clustering automatically groups customers with similar RFM characteristics without predefined labels, revealing complex hidden patterns in customer data for better segmentation
- Time Series Clustering categorizes customers according to temporal behavior patterns, such as purchase frequency over time, enabling more tailored marketing strategies
Optimal Control ML Models to Enhance Marketing Efficiency
Make data-driven decisions to control and optimize marketing campaigns, delivering the right content to the right users at the right time, resulting in boosted campaign performance and ROI.
- Contextual Bandit Model personalizes customer experience by dynamically selecting the most effective options to achieve positive outcomes like clicks or purchases based on user data and behavior (like ads, recommendations, etc.), driving engagement and campaign success
- Optimization-Based Model maximizes marketing objectives, such as the click-through rate or conversion rate, by efficiently allocating resources while considering limitations like budget or reach
Statistical ML Models to Enhance Financial Decision-Making
Predict and analyze consumer spending habits, strategically manage bill payments and forecast future expenses with sophisticated ML models that can handle large datasets and complex relationships within financial data.
- Linear Regression Model predicts a value by finding a straight-line relationship between original pieces of data, for example, predicting next month's sales based on the number of customer requests this month
- Probabilistic ML Model aids in decision-making by evaluating future conditions with probabilities in uncertain situations, like financial risk assessment
- Non-linear ML algorithms handle complex models with non-linear relationships, like financial modeling, where market behaviors and consumer trends rarely follow linear patterns
How Our Custom AI Software Works with Your Data
Our AI system is built to grow with your needs, work fast, and manage complex data and tasks. It incorporates the latest tech advancements, blends open-source and enterprise technologies, and can run in the cloud or on-premises
To gather data from various sources, such as your company's core systems, mobile apps, call centers, and chatbots, we collect it in the Staging Database. It arrives in large batches through batch processing tools like Apache Airflow, as a continuous stream using systems like Kafka, or through direct connections via APIs. Once collected, the data is prepared for analysis.
To store large amounts of data for AI analytics, we use a dedicated database. This allows us to keep your main databases quick for daily tasks and enables effortless advanced data analysis. Our separate storage system includes robust tools like SQL databases like PostgreSQL or SQL Server, as well as Redis and RabbitMQ for data handling to prevent slowdowns and system crashes.
The AI Core is central to our system, transforming data into valuable insights. This is where we process and refine data, selecting key features to feed into our Machine Learning models. We use powerful programming tools like Python and ML frameworks to build these models. For tasks that involve human language, we employ natural language processing tools. Deep learning helps us with complex data patterns, accurate predictions, segmenting data, and optimized decisions.
We connect AI-generated data to business software, offering two flexible options: enhance existing applications with AI through API integration or leverage dedicated AI tools for insightful analytics and AI chatbots. To connect your software via APIs, we use optimization tools like FastAPI. This helps us create smooth links between our ML models and various applications.
Stay Calm with No Surprise Expenses
- You get a detailed project plan with costs associated with each feature developed
- Before bidding on a project, we conduct a review to filter out non-essential inquiries that can lead to overestimation
- Weekly reports help you maintain control over the budget
Don’t Stress About Work Not Being Done
- We sign the Statement of Work to specify the budget, deliverables and the schedule
- You see who’s responsible for what tasks in your favorite task management system
- We hold weekly status meetings to provide demos of what’s been achieved to hit the milestones
- Low personnel turnover rate at Belitsoft is below 12% per annum. The risk of losing key people on your projects is low, and thus we keep knowledge in your projects and save your money
Be Confident Your Secrets are Secure
- We guarantee your property protection policy using Master Service Agreement, Non-Disclosure Agreement, and Employee Confidentiality Contract signed prior to the start of work
- Your legal team is welcome to make any necessary modifications to the documents to ensure they align with your requirements
- We also implement multi-factor authentication and data encryption to add an extra layer of protection to your sensitive information while working with your software
No Need to Explain Twice
- With minimal input from you and without overwhelming you with technical buzzwords, your needs are converted into a project requirements document any engineer can easily understand. This allows you to assign less technical staff to a project on your end, if necessary
- Our communication goes through your preferred video/audio meeting tools like Microsoft Teams and more
Mentally Synced With Your Team
- Commitment to business English proficiency enables the staff of our offshore software development company to collaborate as effectively as native English speakers, saving you time
- We create a hybrid composition with engineers working in tandem with your team members
- Work with individuals who comprehend US and EU business climate and business requirements
Frequently Asked Questions
In 2024, companies can pay anywhere from $0 to more than $300,000 for AI software. The cost usually comes from complexity, functionality, and exclusiveness. Utilizing pre-built AI solutions, like ones offered by Belitsoft, can be a cost-effective alternative to building from scratch - they have significantly faster time to market and lower cost.
AI software development services often exceed timeline expectations. Implementing AI-driven development solutions can take around two weeks or more for Proof of Concept (POC) and three to six months or longer for full integration. Contact us for a personalized assessment of the timeline needed for your AI solution!