Fintech IT That Moves as Fast as the Market

In our AI/ML and cloud services, we utilize cutting-edge technologies that are designed to deliver real, practical results.

Our AI/ML solutions leverage frameworks like TensorFlow, PyTorch, and Scikit-learn, along with cloud platforms such as AWS, Azure, and Google Cloud for scalable, secure deployment.

We also integrate cloud-native tools such as Kubernetes and Docker for containerization and orchestration, ensuring that solutions are scalable, efficient, and aligned with your business needs. Our tech stack is chosen for its flexibility, reliability, and ability to drive measurable business outcomes in the manufacturing and industrial sectors.

Check out our AI/ML expertise page for more details.

Our tech stack is designed to bridge the gap between modern technologies and legacy systems. We use robust integration tools such as REST APIs, middleware platforms, and enterprise service buses (ESBs) to ensure seamless communication between legacy systems (e.g., MES, ERP) and new technologies.

Our team specializes in modernizing these systems, ensuring that new solutions complement and extend the life of existing infrastructure without disrupting ongoing operations. By combining industry-specific knowledge with our technical expertise, we ensure that integration is smooth, scalable, and aligned with your goals.

Choosing the right tech stack is a collaborative process. We begin by thoroughly understanding your business challenges, goals, and existing systems. Our team of experts then assesses the most suitable technologies based on your specific needs, scalability requirements, and industry demands.

For example, in healthcare, we often prioritize AI-driven diagnostic tools, predictive analytics for patient outcomes, and machine learning models for personalized treatment plans.

We choose technologies that align with your business objectives, ensuring they are cost-effective, future-proof, and provide tangible results. Our goal is always to deliver practical, industry-relevant solutions rather than just using the latest tech for the sake of innovation.

We ensure our AI models are practical by focusing on solving real business problems with measurable outcomes. Our AI team works closely with you to understand the specific challenges you face, such as downtime reduction or efficiency improvements.

We follow a results-driven methodology, where we define success metrics upfront and continuously monitor the model’s performance in real-world environments. Through iterative testing and feedback loops, we refine and optimize the models to ensure they deliver actionable insights that drive efficiency, cost savings, and long-term value. Our focus is always on outcomes, not just models or algorithms.

Need more details? Reach out to our expert team, we can provide you a sample approach tailored to the problems or questions you have in mind.

We offer a range of AI/ML solutions tailored to your needs, including:

Predictive Maintenance: Using AI to analyze equipment data and predict failures before they happen, reducing downtime.

Data Analytics & Insights: AI-driven analytics to uncover trends, optimize processes, and support decision-making.

Automation: Machine learning models to automate manual tasks, improve efficiency, and reduce human error.

Intelligent Process Optimization: AI algorithms designed to streamline operations and boost productivity.

Check out our AI/ML capabilities here.

We offer several outsourcing models tailored to the scope and complexity of your project. These include:

– Dedicated Team Model: Ideal for long-term, ongoing partnerships, where we provide a dedicated team of experts fully aligned with your business goals.

– Project-Based Model: For well-defined, time-bound projects, we offer fixed-price engagements that deliver clear, measurable outcomes.

Each model is designed to ensure flexibility, cost-effectiveness, and scalability, focusing on delivering long-term results rather than just completing tasks.

Our engagement process is collaborative, transparent, and results-oriented. It begins with an initial domain expert consultation to understand your needs and challenges. We then co-create a tailored plan that outlines objectives, timelines, and deliverables. Following this, we align the right team of experts to execute the project, leveraging our Japanese-rooted quality and continuous improvement mindset.

Throughout the project, we maintain clear, regular communication to ensure the solution is practical and drives real business outcomes. We also provide ongoing support and optimization to ensure long-term success.

We scale teams for larger projects by leveraging our extensive network of over 1,500 engineers and a well-established framework for rapidly expanding or contracting project teams.

We take an agile, flexible approach, adjusting team size as the scope of work evolves. Whether it’s expanding expertise in specific areas (e.g., AI/ML, cloud engineering) or adding more resources for faster delivery, we ensure that the team is always aligned with your objectives.

Our approach focuses on efficient builds, with scalability in mind to meet future demands and growth.

We proactively address time zone and communication challenges through effective planning and the use of collaborative tools. Our teams are well-versed in managing cross-time-zone workflows to ensure continuous progress.

We implement structured communication schedules with clear milestones, and leverage tools like Slack, Jira, and video conferencing like Google Meet or Zoom to keep everyone aligned.

Additionally, we assign project managers who are available during key hours to ensure smooth communication and quick decision-making, so there is no disruption in the flow of the project. This approach ensures that we remain responsive and proactive in delivering on your needs.