Frequently Asked Questions

We work with modern tech stacks including React, Next.js, Node.js, TypeScript, and cloud platforms like AWS and Vercel. We also have expertise and vast experience with Flutter, Swift/SwiftUI, and BaaS platforms like Supabase and Firebase. Our choice depends on your specific needs, scalability requirements, and existing infrastructure.

We follow our "AI where AI makes sense" philosophy. We evaluate three key factors: product-market fit (does it solve a real user problem?), value vs complexity (will the benefit justify the effort?), and future-proofing (how will it evolve with your platform?). We only recommend AI when it genuinely enhances user experience and can efficiently solve complex problems.

We follow an agile approach with regular internal sprints, ceremonies where they make sense, and continuous client collaboration. You'll get regular demos, and direct communication with the development team. We believe in transparency and keeping you involved throughout the journey without adding any superfluous fluff or bureaucratic processes.

We offer flexible pricing models including fixed-price projects for well-defined scopes, time & materials for evolving requirements, and retainer agreements for ongoing development. Each project gets a custom quote based on complexity, timeline, and specific requirements. However, rest assured, if you have had a quote from a typical agency, we will likely be a lot more compeitive. You aren't paying for our coroporate nights out and pizza parties.

Absolutely! We specialise in retrofitting existing applications with AI capabilities. We start with a thorough audit of your current system, identify the best integration points, and implement AI features that enhance rather than disrupt your existing workflows.

Security is built into every layer of our development process. We implement encryption at rest and in transit, follow OWASP guidelines, conduct regular security audits, and ensure compliance with relevant regulations like GDPR. All team members sign NDAs and we can work within your existing security frameworks. Additionally, we consider security based on the industry we are working in. For example, if we are building a healthcare platform that touches patient data, we take into considering things like the NHS Data Security and Protection Toolkit.

Project timelines vary based on complexity and scope. Simple web applications typically take 4-8 weeks, while complex AI-integrated platforms can take 3-6 months. There is no "one timelines fits all" answer but we provide detailed timeline estimates during our initial phase and maintain regular progress updates.

Yes! We offer comprehensive post-launch support including bug fixes, feature updates, performance monitoring, and scaling assistance. Our support packages range from basic maintenance to full ongoing development partnerships.

We implement a wide range of AI capabilities including natural language processing, computer vision, predictive analytics, recommendation engines, intelligent automation, and content generation. The key is choosing the right AI tool for your specific use case and user needs.

As involved as you want to be! We provide weekly progress reports, bi-weekly demos, and maintain open communication channels. You can choose to be hands-on with daily updates or prefer high-level milestone check-ins. We adapt to your preferred communication style.

Absolutely! We work with businesses of all sizes, from early-stage startups to enterprise companies. We understand budget constraints and can structure projects in phases, allowing you to launch an MVP and iterate based on user feedback and funding milestones.

We can accommodate urgent projects when possible. For tight deadlines, we may recommend an MVP approach, focusing on core features first and planning additional features for subsequent releases. Rush projects may require additional resources and adjusted pricing.