Frequently Asked Questions

We work with a wide range of organizations — from early-stage technology companies and scale-ups to established mid-market enterprises. Our clients typically need custom-engineered software, AI capabilities, cloud infrastructure, or strategic technology consulting. We do not take on purely off-the-shelf configuration projects.

Every engagement starts with a structured discovery call where we understand your business context, technical environment, and project goals. From there, we produce a clear scope document and technical proposal. We work in agile sprints with regular stakeholder check-ins, live demos, and transparent reporting throughout the project.

We offer both models depending on the nature of the work. Well-defined projects with clear specifications are well-suited to fixed-price engagements. Exploratory or evolving work — such as AI research, ongoing platform development, or consulting — is better served through a time-and-materials arrangement.

Yes. Dhaanvi Global Solutions is headquartered in Tirana, Albania, and operates in full compliance with GDPR and international data protection standards. We also build GDPR-compliant systems for our clients, including appropriate data handling, consent mechanisms, right-to-erasure capabilities, and data minimization principles.

Security is non-negotiable in everything we build. We follow OWASP Top 10 best practices, use prepared SQL statements exclusively, implement proper authentication and authorization layers, and conduct code reviews at every development stage. All code is documented, tested, and delivered with a handover package.

Yes. We offer flexible post-launch support arrangements — from ad-hoc bug fixing and minor enhancements through to structured monthly retainers covering monitoring, optimization, feature development, and technical advisory services. We build with the intention of a long-term partnership.

We approach AI projects with pragmatism — focusing on genuine business value rather than technology trends. We begin by evaluating whether AI is the right tool for your problem, then scope the data requirements, model approach, and integration architecture. We do not build "AI theatre" — every model we deploy must deliver measurable, production-grade outcomes.

Absolutely. We frequently engage in a collaborative model — working alongside existing in-house teams to provide senior engineering expertise, architecture guidance, AI capability, or cloud infrastructure support. We adapt to your team's workflows, tools, and communication norms.