Frequently Asked Questions

We develop custom AI/ML solutions including predictive analytics platforms, computer vision systems, natural language processing applications, intelligent chatbots, recommendation engines, and MLOps pipelines. Our expertise covers TensorFlow, PyTorch, scikit-learn, and cloud-based ML services (AWS SageMaker, Azure ML, Google AI Platform).

Timeline varies based on complexity: Simple MVPs typically take 6-8 weeks, mid-complexity applications 3-4 months, and enterprise-scale solutions 6-12 months. We follow agile methodology with 2-week sprints, providing working software incrementally so you see progress throughout development.

We're experts in AWS, Microsoft Azure, and Google Cloud Platform. Our team holds certifications in cloud architecture and can design solutions using any platform. We help choose the right cloud provider based on your specific requirements, existing infrastructure, and cost considerations.

Yes, we offer comprehensive post-launch support including bug fixes, performance optimization, security updates, feature enhancements, and 24/7 monitoring. We provide flexible support packages tailored to your needs, from basic maintenance to full DevOps management.

We follow a 4-phase agile process: 1) Discovery - understanding requirements and goals, 2) Design - creating architecture and prototypes, 3) Development - iterative building with regular demos, 4) Deployment - launch, testing, and handoff. Throughout, you have full visibility and control with regular check-ins.

Absolutely. We specialize in system integration and can connect with ERPs, CRMs, databases, APIs, legacy systems, and third-party services. We ensure seamless data flow and maintain backward compatibility while modernizing your infrastructure.

Our tech stack includes: Frontend (React, Next.js, Vue, TypeScript), Backend (Node.js, Python, .NET, Go), Databases (PostgreSQL, MongoDB, Redis), Cloud (AWS, Azure, GCP), AI/ML (TensorFlow, PyTorch, scikit-learn), DevOps (Docker, Kubernetes, Terraform, GitHub Actions). We choose technologies based on project requirements, not trends.

We follow industry best practices including code reviews, automated testing (unit, integration, E2E), static code analysis, security scanning, and penetration testing. All code follows OWASP guidelines, and we implement security-first architecture with encryption, authentication, and authorization at every layer.

Yes, scalability is built into our architecture from day one. We design cloud-native applications using microservices, containerization, auto-scaling, load balancing, and distributed caching. Our solutions handle millions of requests with sub-second response times.

We work across industries including fintech, healthcare, e-commerce, logistics, education, manufacturing, and SaaS startups. Our technology expertise translates across sectors - we focus on solving complex technical challenges regardless of industry.

We partner with both! For startups, we help validate ideas quickly with MVPs and scale as you grow. For enterprises, we modernize legacy systems and build mission-critical applications. Our flexible approach adapts to your stage, budget, and timeline.

We take data privacy seriously and follow GDPR, HIPAA, SOC 2, and industry-specific regulations. All data is encrypted in transit and at rest, we implement role-based access control, conduct regular security audits, and can work within your compliance framework.

Three key differentiators: 1) Deep AI/ML expertise combined with full-stack development, 2) Cloud-native architecture for scalability and reliability, 3) Engineering-first approach with clean, maintainable code and comprehensive documentation. We're not just coders - we're engineering partners focused on long-term success.

Yes, cloud migration is one of our specialties. We assess your current system, design a migration strategy (rehost, refactor, or rebuild), execute phased migration to minimize downtime, and optimize for cloud-native performance. We've successfully migrated monoliths to microservices and on-premise systems to cloud.

Both! Fixed-price works well for clearly defined projects with stable requirements. Time & material offers flexibility for evolving requirements or ongoing development. We can also do hybrid models. We'll recommend the best approach based on your project scope and risk profile.