Most AI applications are ready to launch in four to eight weeks, allowing your business to realize value quickly by delivering results that align with your needs. The timeline depends on the project’s scope, complexity, and the required number of integrations.

We start by scoping the project – defining data, APIs, UI, and goals. After aligning on the plan, we move quickly to prototype, confirming core features before scaling to production. For more complex systems, such as multi-user platforms or advanced data pipelines, the timeline may be extended, but everything is clearly scoped before work begins.

Our agile, phased approach enables you to use and test central features early, allowing you to start gaining business value faster while we seamlessly add advanced features. The goal is straightforward: you start seeing business value quickly, without compromising quality or reliability.

We deliver AI-powered applications designed to address real business challenges, not just build demos.

Typical projects include: Chatbots and Virtual Assistants (smart conversational tools that automate customer service or internal helpdesk support), Recommendation Engines (personalised content or product suggestions that improve engagement and conversion), Analytics and Insight Dashboards (real-time visualisations that help teams understand and act on their data faster), Automation Tools (intelligent systems that streamline workflows, from email routing to report generation), and Document or Image Processing (apps that read, extract, and classify information from PDFs, scans, and images automatically).

We also build custom platforms, linking machine learning models to Django’s admin for easy management, or integrating APIs like OpenAI or Hugging Face. If you have a process that could be automated, improved, or made smarter, we can build it end-to-end using Python and Django.

Yes. Most clients already utilise models like OpenAI, Anthropic, or Google Vertex AI and simply require integration with their existing systems. We handle API authentication, model calls, formatting, caching, and error handling, ensuring reliable, fast, and efficient responses.

We build Django middleware to connect your models to databases, dashboards, or workflows as needed. The result is an AI feature that looks and feels like a natural part of your own system, not just an add-on or external tool. We securely connect, monitor, and scale AI models as your usage grows.

Certainly. We never compromise on security. Django is a highly secure web framework with built-in mechanisms to prevent common attacks and protect your data. Plus, we use our own strict safety rules, including: OWASP-compliant coding practices, encrypted data transfer (HTTPS/TLS), strict authentication and access controls, and dependency and library management to prevent supply chain risks.

We adhere to UK and EU privacy regulations, ensuring your data is handled safely and in accordance with the law. Every AI app we build is engineered from the ground up to safeguard your data, IP, and user information, helping you meet compliance and customer trust objectives from the start.

After launch, we also offer ongoing monitoring and updates to keep your app protected as new vulnerabilities or compliance requirements arise.

Yes. After your app goes live, we offer ongoing support, monitoring, and optimisation as your business grows, including: performance monitoring to track how your app behaves in real-world conditions, regular updates for new AI model releases, API changes, or security patches, feature enhancements that enable you to evolve your product over time without having to start from scratch, and training and handover for your in-house team, if needed, to manage or extend the system independently.

We treat every build as a long-term partnership, offering stability, transparency, and ongoing support for your AI product.