ML services and solutions from certified machine learning experts
We deliver software solutions using both established technologies and tools like C++, .NET, RoR, Python, PHP, and Java, as well as technology trends like Robotic Process Automation, Artificial Intelligence, Augmented Reality & Virtual Reality, Internet of Things, Machine Learning.
Our employees can choose technological directions they like, study new technologies independently and in interest groups, and practice their skills on real projects. You will not just write software with us. You will be part of teams that help customers digitally transform their businesses.
TABLE OF CONTENTS
Client spotlight
Our services
Industry expertise
Use cases
Tech stack
FAQs
The business value of machine learning
45%
Total profit by 2030 will come from AI-powered product enhancements PwC
35%
Expected cost reduction in the next 3 years among intelligent automation adopters Deloitte
52%
Faster response time is expected by 2024 from companies adopting AI Oracle
Engagenreap at a glance
5+ years of delivering successful ML projects
Proven expertise in artificial intelligence, machine learning, and data science
20+ years in IT consulting and software development services
Adherence to HIPAA, GDPR, FDA, and other standards and regulations
Standing partnerships with Microsoft, AWS, and Google Cloud
Our customers say
Our machine learning services
Consulting
Our ML consultants offer end-to-end assistance for organizations that implement machine learning solutions or upgrade existing ML applications. Our services range from business needs analysis and designing ML models to selecting the optimal strategy and technologies for implementing ML.
Development
We develop scale-ready MVPs and enterprise-wide ML tools to help our clients solve business problems and gain an advantage over their competitors. Our services include ML requirements elicitation, data management, ML model development and tuning, integration, and maintenance.
Machine learning solutions across industries
Retail
- Predicting product demand and retail trends
- Targeted advertising, dynamic pricing, and promotions tailored to customers’ needs
- Anticipatory shipping and smart route planning
- Anomaly detection and intelligent video surveillance
Ecommerce
- Advanced recommendation and search engines
- Chatbots for improving customer experience
- Contextual shopping features
- Demand forecasting
- Fraud and anomaly detection for safer purchasing experience
Healthcare
- Advanced recommendation and search engines
- Chatbots for improving customer experience
- Contextual shopping features
- Demand forecasting
- Fraud and anomaly detection for safer purchasing experience
Banking
- Personalized service offerings
- Automated back-office operations and NLP capabilities
- Fraud detection
- Virtual assistants for customer support
- Customers’ credit profiles assessment
Education
- Tailored content recommendations and customized learning paths
- Adaptive training activities for personalized learning experiences
- Dynamic adjustment of learning speed and personal curricula
- Bots to automate and streamline manual processes
- NLP-based real-time translation and transcription of eLearning content
Machine learning FAQs
ML implementation brings numerous benefits, the most significant being cost reduction due to the automation of repetitive manual tasks and an increase in operational efficiency due to augmenting human intelligence.
To define the TCO of an ML solution, you should factor in:
- Data-related attributes (number of data sources, data type, data volume, and data quality used for ML development)
- ML accuracy requirements
- ML approach and methodology
- ML implementation and maintenance costs
- Infrastructure costs
- Software licensing
Note that any ballpark estimates are only possible after thorough business analysis.
For machine learning projects, we usually offer a dedicated team, time and material, and fixed-price engagement models.
No, we train the ML models on our instances, you’ll need the infrastructure only for rolling out the solution post-development.
Enterprise cybersecurity: protecting your business
Grab this detailed enterprise cybersecurity overview with the examples of the most typical cyberattacks and well-elaborated countermeasures to them.Industrial IoT security: protecting your enterprise
Learn what security threats plague industrial IoT today and what countermeasures to adopt against them.Artificial intelligence in cybersecurity: applications & the future
Learn how AI is used in cybersecurity to detect and prevent threats, what the future holds for the technology, and its implementation tips for companies.
Shipping automation software migration to the cloud
Read our case study of migrating an international provider’s legacy shipping automation software to the cloud, helping them enter the SaaS market.Contact us
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India Office: Plot No. 76-D, Udyog Vihar, Phase-4, India
