services
Get a feature complete data product, based on ML, AI, or LLMs.
Data product development
Through a series of milestones and Agile, we ensure a structured and iterative development process. With our expertise in data driven solutions, we offer three flexible options. Dedicated team, Project based, Team augmentation
When you have scattered data sources and want to consolidate them to facilitate reporting and build data products in the future, our Data Lakehouse service is the answer. Through a data strategy workshop, we define the scope and proceed with a team of experienced engineers to build a data lake and generate initial reports that demonstrate the value of the data lake. Examples: Analytics and ML System; Data Strategy Workshop
Understanding user behavior is crucial for personalization and decision-making. Our User Behavior Analytics service helps you gain valuable insights from user interactions on your website. Through design sprint workshops, we define the scope and provide implementation by a team of experts. Examples: User Segmentation, Behavior Analytics
High customer churn rates can be detrimental to your business. Our Churn Analysis service helps you understand why users leave and reduce churn rates. We conduct design sprint workshops to define the scope and provide implementation by a specialized team. Example: Churn Analysis
This service offers cutting-edge computer vision capabilities to recognize and categorize objects from images or videos. Additionally, it facilitates anomaly detection for asset management or fraud detection purposes. Examples: Object Classification, Anomaly Detection
Recommender Engines service focuses on improving customer engagement and providing personalized experiences. We leverage design sprint workshops to define the scope and implement a robust recommendation engine integrated into your application. Example: Personalization Engine
This service offers advanced search capabilities for large amounts of data, making it easier for customers to find relevant entities. Additionally, we provide similarity analysis to personalize customer communication further. Examples: Advanced Search, Similarity Analysis
Our Microservices & Distributed Systems service provides scalable and reliable systems that collect massive amounts of data. We offer solution architecture workshops to define the scope and implement distributed systems using microservice architecture. Example: Transactional Core
AI-Powered Chat service optimizes communication with users, automating sales or customer support processes. We implement chat AI, sentiment analysis, and keyword extraction to enhance user interactions. Examples: Chat AI, Sentiment Analysis, Keywords Extraction
Our Optimization service focuses on improving efficiency and resource allocation in various domains, such as dynamic pricing, space, and energy optimization. Examples: Dynamic Pricing, Space and Occupancy Optimization, Energy Optimization
This service leverages contextual image analysis and object tracking to extract valuable information from images and videos. Examples: Contextual Image Analysis, Object Tracking
To ensure compliance and data security, PII Extraction service identifies and extracts Personal Identifiable Information from various sources, such as documents, databases, and websites.
Problem As the client scaled globally, their support team faced an exponential rise in customer tickets – especially during off-hours. Customers expected immediate answers, but the support queue grew longer, response times slowed down, and inconsistencies in replies became frequent. Even though the company had a rich internal knowledge base, it remained underutilized – agents […]
When a company with nearly 50 years of maritime expertise decides to build its first software product, the stakes are high and the path is unclear. Our client, a global provider of marine electronics and navigation solutions, had deep domain knowledge but no previous experience in digital product development. They knew the industry needed a […]
Problem The client was a user of the Oracle Content Management Cloud (OCM) system, which will be deprecated by the end of 2025. The main challenge was the lack of similar solutions on the market that offer key functionalities of OCM at a reasonable cost. Additionally, the client required a platform capable of migrating a […]