We specialize in accelerating product development for machine manufacturers, helping them navigate dynamic market conditions and technology trends. Our services encompass new product development, as well as product migration and re-engineering, ensuring enhanced features, cost efficiency, and improved performance to meet market demands swiftly.
From concept to deployment and testing, we support your entire product lifecycle. Whether enhancing with cloud and mobile capabilities or adding intelligence, our teams deliver what you need.
Future-proof your products for the next decade by scaling them up. We specialize in re-architecting, refactoring, or re-platforming your technology stack to enhance scalability, security, and performance while preserving current capabilities.
We're experts in creating DevOps strategies and CI/CD pipelines for developing new products, deploying them, and keeping them updated seamlessly. Our services include consulting, implementing solutions from start to finish, and monitoring infrastructure using tools like Maven and Jira.
Whether you're migrating existing products to the cloud, establishing a hybrid setup, or expanding web-based products to mobile platforms, our teams are here to assist you every step of the way.
We rigorously test and operate a variety of products reliably. Our teams harness technological advancements to provide quality-focused validation and verification services, ensuring your products leave a lasting impression.
Enhance your product capabilities with a blend of data analytics, machine learning (ML), artificial intelligence (AI), and data mining to deliver cutting-edge solutions. Accelerate your time-to-market with our established industrial frameworks.
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Talk to our expertOur teams craft tailored solutions to help you achieve your objectives through a strategic approach, which includes:
Evaluating the data you are capturing, existing data sources, and your objective in building an ML solution. Identifying additional data needed to support the use case.
Gathering, processing, and annotating the necessary data. Identifying potential ML models for development, testing, and evaluation, focusing on feature engineering and hyperparameter tuning.
Analyzing outcomes after processing and comparing model’s performance and assumptions. Implementing Model as a Service and continuously monitoring and updating it to ensure relevance and precision.
Integrating the solution smoothly with the current system following the successful Proof of Concept (PoC) implementation. Executing tests to verify attainment of the desired output.
For any unanswered questions, please contact our specialist.
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