Frequently Asked Questions

We provide comprehensive AI solutions including custom AI model development, Large Language Model (LLM) integration and deployment, full-stack AI application development, intelligent automation, and MLOps consulting. Our services span from initial AI strategy consulting to production deployment and ongoing support.

We work across multiple industries including Legal & Professional Services, Healthcare & Life Sciences, E-commerce & Retail, Logistics & Supply Chain, Financial Services, and Technology. Our solutions are tailored to meet the specific needs and compliance requirements of each sector.

Our headquarters is in London, United Kingdom. We serve clients globally and have experience working with organizations across Europe, North America, and Asia-Pacific regions.

We specialize in transformer architectures, large language models (GPT, Claude, LLaMA), computer vision systems, natural language processing, and custom machine learning models. We work with major cloud platforms including AWS, Google Cloud, and Azure for scalable deployments.

Yes, we design our solutions with integration in mind. We can integrate AI capabilities with your existing software stack through APIs, webhooks, and custom connectors. Our team has extensive experience working with various enterprise systems, CRMs, ERPs, and databases.

Our technology stack includes Python for AI/ML development, TypeScript/React for frontend applications, Node.js for backend services, and various specialized frameworks like PyTorch, TensorFlow, and Hugging Face. We select technologies based on project requirements and client infrastructure.

We follow rigorous development practices including comprehensive testing, validation against ground truth data, A/B testing in production, continuous monitoring, and regular model retraining. We also implement safeguards against hallucinations and provide confidence scores with AI outputs.

Project timelines vary based on scope and complexity. A proof-of-concept typically takes 4-8 weeks, while a full production deployment can range from 3-6 months. During our initial consultation, we provide a detailed timeline based on your specific requirements.

Our process begins with a discovery call to understand your needs, followed by a technical assessment and proposal. Once agreed, we move through phases: requirements gathering, design, development, testing, deployment, and support. We maintain close communication throughout with regular progress updates.

Yes, we offer various support packages including 24/7 technical support, regular maintenance and updates, performance monitoring, model retraining, and feature enhancements. Support terms are customized based on your operational needs.

Our pricing is based on project scope, complexity, timeline, and required resources. We offer flexible engagement models including fixed-price projects, time and materials, and retainer arrangements. Contact us for a customized quote based on your specific requirements.

Yes, we often recommend starting with a proof-of-concept (PoC) to validate the AI solution before committing to full-scale development. PoCs help identify potential challenges early and demonstrate value with minimal investment.

While we primarily work on enterprise-scale projects, we evaluate each opportunity based on strategic fit and potential impact. Contact us to discuss your project, and we can advise on the best approach regardless of initial scope.

Security is paramount in our development process. We implement industry-standard security measures including end-to-end encryption, secure API authentication, role-based access control, and regular security audits. All data handling follows strict protocols aligned with best practices.

Yes, we design solutions with regulatory compliance in mind. We are familiar with GDPR, HIPAA, SOC 2, and other industry-specific regulations. We can implement appropriate data handling, consent management, and audit trails to meet your compliance requirements.

Absolutely. We regularly work with sensitive data including financial records, healthcare information, and proprietary business data. We offer NDA agreements, secure development environments, and can deploy solutions in private cloud or on-premises environments when required.