Microservices Development

Build large applications as a set of small modular services with microservices-based architectural style to make them resilient, scalable, and easy to maintain.

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Fast-paced development

Smaller services are easier to develop and deploy than large monolithic applications. This means that new features can be added quickly and easily.

Scalability

Each service can be scaled independently, so you only need to scale the services that are getting heavy use. This can save a lot of time and money.

Resiliency

If one service goes down, the other services can continue to run. This can minimize downtime and keep your application running smoothly.

Related case studies

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AWS, Go, Kubernetes, Microservices, PostgreSQL, React.js, Ruby

Raise

Our engineers formed a dedicated frontend and backend teams that work hand in hand with the US-based teams from the Client’s.

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Airflow, AWS, Bitbucket & Bamboo, Go, Kubernetes, React.js, Terraform

Single Care

We’ve designed and developed from the ground up a new microservices-based architecture around the Golang ecosystem.

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Cloud-Based Systems

Stay ahead of the curve and invest in the cloud to reduce infrastructure costs, increase flexibility, and scalability.

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Cost savings

With a traditional on-premises system, you would need to purchase and maintain your own servers, storage, and networking equipment. With a cloud-based system, you can rent this infrastructure from a provider on a pay-as-you-go basis. This can save you a significant amount of money, particularly if you don't need a lot of resources.

Access from Anywhere

With a traditional on-premises system, you would need to be in the office to access the system. With a cloud-based system, you can access your data and applications from any location with an Internet connection. This gives you the flexibility to work from anywhere, which can be a big advantage for businesses with remote employees.

Scalability

With a traditional system, you would need to purchase and install additional hardware and software as your business grows. With a cloud-based system, you can simply add more users or increase your subscription level as your needs change. This makes it much easier to grow your business without having to make a major upfront investment.

Related case studies

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AWS, Go, Kubernetes, Microservices, PostgreSQL, React.js, Ruby

Raise

Our engineers formed a dedicated frontend and backend teams that work hand in hand with the US-based teams from the Client’s.

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Airflow, AWS, Bitbucket & Bamboo, Go, Kubernetes, React.js, Terraform

Single Care

We’ve designed and developed from the ground up a new microservices-based architecture around the Golang ecosystem.

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Blockchain

Develop a distributed database that allows for secure, transparent and tamper-proof record-keeping.

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Financial technology

Blockchain makes it well-suited for a wide range of financial applications, from payments and settlements to auditing and compliance. The use of blockchain in financial services can help to reduce costs, increase efficiency and transparency, and improve security.

Distributed ledgers

A distributed ledger is a database that is shared across a network of computers. It allows for transparent and secure record-keeping. A distributed ledger is often used in the context of cryptocurrency and blockchain, where it is used to record transactions in a secure and tamper-proof manner.

Smart contracts

Smart contracts allow for the execution of transactions and agreements between parties without the need for a third party or intermediary. This not only reduces the costs associated with traditional contracts, but also reduces the time it takes to execute them. Smart contracts also have the potential to increase transparency and trust between parties, as all contract terms are written in code and stored on the blockchain.

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ML based portfolio optimization

A detailed case study of an asset management solution done by NG Logic LLC for Finexy

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AI and ML

Transform your businesses by automating processes, improving decision making, and boosting efficiency and productivity.

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AI Solutions for Automated Business Decisions

We develop end-to-end solutions that help businesses automate their decision-making processes. Our solutions take data from disparate sources, clean it, transform it, and then use machine learning to generate actionable insights.

Natural language processing

We extract useful information from text and convert it into structured data for analysis and use natural language processing to make computers more human-like in their understanding of human language.

Computer vision and image processing

Computer vision and image processing are often used together to create systems that can automatically detect and classify objects in images. We use these systems in a wide range of applications, such as autonomous vehicles, facial recognition, or product detection and classification.

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AWS, Go, Kubernetes, Microservices, PostgreSQL, React.js, Ruby

Raise

Our engineers formed a dedicated frontend and backend teams that work hand in hand with the US-based teams from the Client’s.

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GRPC, Kafka, Kotlin, Microservices, React.js

Spruce

Our team provided consultancy and technology expertise to deliver a new, better experience to the end-user. Delivered a new, better solution for the end-user of the web app to maximize the experience.

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Data Engeneering

Develop and maintain data-intensive systems to implement data-driven solutions.

Artifical intelligence

Converting data into insights

We transform data into insights to deliver real business value.Our data engineers and scientists leverage a variety of techniques, including data mining, data analysis, and data visualization.

Forecasts & insights

We use data science to identify patterns and trends quickly and efficiently by analyzing vast amounts of data for various classification and regression problems.

Automated data analysis

We automate the process of data analysis by leveraging data mining techniques to automatically extract relevant information from data sources to generate reports.

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LDAP, PLONE, Python, ZODB

Setis

A complete website redesign that included the migration of the content from the previous CMS, adding several features specific to SETIS and implementation of new site design.

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Security

Implementing a cyber security plan to defend your company against attacks and safeguard your data.

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Penetration testing using OWASP principles

We create customized tests that are compatible with The Open Web Application Security Project using artificial intelligence and machine learning.

Black box and white box testing

We perform software tests in two different methods where our QA engineer doesn’t have access to the internal code or structure (black box) and has access to the internal code or structure (white box). This allows for a comprehensive test coverage, which translates to fewer bugs.

Periodic checks of web app security

It is important to keep your web app security up-to-date. Periodic checks of your web app can help you identify any security issues and take steps to fix them.

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LDAP, PLONE, Python, ZODB

Setis

A complete website redesign that included the migration of the content from the previous CMS, adding several features specific to SETIS and implementation of new site design.

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Talk with experts

We look forward to hearing from you. Let's work together on expanding your business and reaching new heights.

Email icon [email protected] Phone icon +1 (888) 413 3806