Application Development

Develop custom software solutions tailored to your specific business needs.

What we provide..

  • Customize

    Bespoke Software Solutions - Design, develop, and deploy software applications tailored to specific client’s needs across various platforms (web, mobile, desktop).

    Agile Methodologies for Iterative Development - Use agile methodologies to emphasize collaboration, iterative development, and rapid feedback to ensure that the final product meets the identified needs and expectations.

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    Modernize

    Updating Legacy Systems - Upgrade outdated technologies, improve user interface, enhance security features.

    Migrate to Cloud Platforms - Move applications from on-premises servers to cloud-based environments.

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    Integrate

    API Integration - Develop and implement APIs to enable communication between different systems.

    Data Integration -Extracting, Transforming, and Loading data from various sources into a central data warehouse or data lake.

    Enterprise Application Integration (EAI) - Connect various enterprise applications, such as CRM systems, ERP systems, and Supply Chain Management systems.

    Middleware Integration - Incorporate message queues and service buses to facilitate communication between different applications.

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    DevOps

    Streamline Development, Testing, and Deployment - Mature DevOps practices aimed to break down silos between development and operations teams.

    Task Automating through CI/CD Pipelines. Automate the build, test, and deployment processes, reducing manual effort and accelerating the software delivery lifecycle.

Graph Database + Gen AI Apps Development

Transform Data into Intelligent Action: Harness the Combined Power of Graph Databases and Generative AI for Unprecedented Application Performance.

In today's fast-paced digital landscape, traditional AI solutions often fall short when it comes to speed, accuracy, and contextual understanding. That's where our specialized consulting services come in. We leverage the synergistic power of graph databases and generative AI to build next-generation applications that deliver unparalleled performance.

Why Graph Databases + GenAI?

Enhanced Accuracy: Graph databases provide a rich, interconnected view of your data, enabling GenAI models to understand complex relationships and deliver more accurate results.

Faster Insights: Graph-powered data retrieval and analysis significantly accelerate AI processing, leading to real-time insights and faster application response times.

Contextual Understanding: GenAI models can leverage the contextual information stored in graph databases to generate more relevant and personalized outputs.

Scalability and Flexibility: Our solutions are designed to scale with your business needs and adapt to evolving data landscapes.

Improved Reasoning: Graph databases enable GenAI to reason over relationships, leading to more intelligent and insightful outputs.

Our Services Include:

AI Strategy and Consulting: We help you identify opportunities to leverage Graph + GenAI in your business.

Application Development: We design and build custom AI applications tailored to your specific needs.

Graph Database Integration: We seamlessly integrate graph databases with your existing systems and GenAI models.

GenAI Model Optimization: We fine-tune GenAI models for optimal performance and accuracy.

Data Architecture and Modeling: We design robust data architectures that support Graph + GenAI applications.

Ready to unlock the full potential of your data with Graph + GenAI? Contact us today for a free consultation and discover how we can help you build the future of AI.

Use Cases

Modernizing Legacy Systems (National Retail)

Helped modernize a national retail chain’s outdated point-of-sales and inefficient inventory management systems. Migrated critical applications to Google Cloud and implemented microservices architecture for better agility and scalability. The project integrated with new e-commerce platforms and mobile applications. In addition, the solution helped enhance company’s data analytics capabilities for real-time insights into customer behavior and inventory levels.

Technologies used - Google GKE, Cloud SQL, Cloud Functions, Google Dataflow, Google Compute Engine

Personalized Learning Platform

Assisted a university to improve its student outcomes and personalize their learning experience by building a personalized learning platform. The platform was able to adapt to individual student learning styles and paces. In addition, the solution allowed for personalized learning paths and recommendations, tracking students’ progress, and identification of improvement areas.

Technologies used - Google Cloud Function, Cloud Pub/Sub, Google BigQuery, Canvas