1. Which programming languages does IVIS primarily use?
We primarily use Python due to its versatility, speed of
development, and deep support for AI/ML and automation. Depending on the
project, we also use Java (enterprise systems), C#/.NET (especially for
Microsoft integrations), and JavaScript (Node.js, React, Vue.js) for frontend
and API layers.
2. Can IVIS work with our existing legacy systems or
proprietary platforms?
Yes. Our team is skilled in integrating and modernizing
legacy systems using secure APIs, middleware, and data migration tools. Whether
you’re on Oracle, SAP ECC, old .NET platforms, or proprietary databases, we
design scalable bridges that preserve core functionality while unlocking new
capabilities.
3. Which cloud platforms does IVIS support?
We are cloud-agnostic and actively support Microsoft Azure,
Amazon Web Services (AWS), and Google Cloud Platform (GCP). Our solution
architectures are designed based on your organization’s regulatory,
performance, and scalability needs.
4. What DevOps tools do you use for continuous delivery?
We use Docker and Kubernetes for containerization and
orchestration. For CI/CD pipelines, we leverage Azure DevOps, Jenkins, and
GitHub Actions. This enables automated testing, seamless deployments, and
rollback capabilities—ensuring rapid and safe code delivery.
5. Do you build and deploy custom AI/ML models?
Yes. We develop and train machine learning models using
TensorFlow, scikit-learn, and PyTorch. These models are tailored to your
business goals—such as demand forecasting, fraud detection, NLP, or image
recognition—and deployed via cloud AI platforms like Azure ML or AWS SageMaker.
6. What database technologies do you support?
We primarily use PostgreSQL for its open-source flexibility
and reliability. We also work with Oracle, Microsoft SQL Server, and NoSQL
databases such as MongoDB and Redis depending on performance and data structure
requirements. For search and analytics, we support Elasticsearch and Snowflake.
7. How do you manage IoT devices and real-time data?
We use industry-standard protocols such as MQTT and
platforms like Azure IoT Hub or AWS IoT Core to connect, monitor, and manage
IoT devices. Edge computing frameworks and custom logic ensure real-time
control and low-latency data processing for robotics and industrial automation.
8. Are your systems designed with security and compliance
in mind?
Absolutely. We adhere to international standards including
ISO 27001, GDPR, HIPAA, and local compliance laws like India’s DPDP or UAE’s
NDMO. All platforms feature multi-layer security—encryption, role-based access,
audit logs, API security, and vulnerability testing.
9. Can IVIS provide enterprise-wide integration across
multiple departments and platforms?
Yes. We build comprehensive integration strategies using
RESTful APIs, message brokers (RabbitMQ, Kafka), and service buses for seamless
communication between ERP, HRMS, CRM, POS, inventory, and custom tools—ensuring
data integrity and centralized visibility across departments.
10. What if our organization requires multi-language or
multi-currency support?
Our platforms are built with international deployment in
mind. We support multi-language interfaces, multi-currency transactions, and
region-specific localization. This is ideal for global enterprises,
governments, and NGOs operating across jurisdictions.