FAQs

Our team reviews your enquiry and contacts you to arrange a short call. We use that call to understand your goals and suggest the best way forward.

Yes. We work with startups, small businesses and enterprises, and we tailor our approach and team size to your stage and budget.

Yes. We are happy to sign a non-disclosure agreement before discussing your project in detail.

You can contact us about custom software development, managed services, staff augmentation, or if you are not sure yet, we will help you decide.

Every project is different. Cost depends on scope, features, integrations and timeline. After an initial call, we provide a clear estimate and recommend options that fit your budget.

A focused MVP can often be delivered in a few months, while larger platforms take longer. We agree on a timeline and milestones before work begins and share progress through regular demos.

You do. Once the agreed payments are made, the custom code and intellectual property we create for your project belong to you, as set out in our client agreement.

We follow security best practices throughout development and operations, including access controls, secure coding, encrypted connections, code reviews and regular updates. We can also sign an NDA and follow your security policies.

Yes. We can review your current application, fix issues, add new features, improve performance or modernize it with newer technologies.

We offer ongoing maintenance and managed services, including monitoring, bug fixes, updates, security patches and new features, so your software keeps running smoothly.

It depends on the skills and seniority you need. We share suitable profiles for you to interview, and once you choose, onboarding into your tools and process can begin.

You get a dedicated point of contact, regular meetings and demos, and progress updates through the tools you prefer, such as email, Slack, Microsoft Teams or Jira.

Our primary focus is US businesses, but we are happy to discuss projects with clients in other regions.

Yes. We start by identifying practical use cases, such as AI assistants, document processing or predictions, then build a small proof of concept so you can see the value before scaling it up. Every solution is designed with data privacy and human oversight in mind.

We keep your data in secure, access-controlled environments, use enterprise AI services configured so your data is not used to train public models, and follow your security and compliance requirements throughout the project.

Yes. We bring data from your different systems together into one reliable source and build dashboards and reports in tools such as Power BI, Tableau or Looker, so your teams can track performance and make faster decisions.

We work with Amazon Web Services (AWS), Microsoft Azure and Google Cloud. We help you choose the platform that best fits your existing systems, needs and budget, and can also manage your cloud environment after migration.