Frequently Asked Questions

Workstation is a business automation platform that provides AI solutions, custom software development, DevOps automation, and cybersecurity services. We help organisations leverage cutting-edge technology to streamline operations, reduce costs, and drive innovation.

Our headquarters are in London, UK, with additional presence in Brussels, Belgium. We serve clients globally and offer both on-site and remote consulting services.

We work across multiple sectors including financial services, healthcare, retail, manufacturing, logistics, and the public sector. Our solutions are tailored to meet the specific regulatory and operational requirements of each industry.

We support a wide range of AI models including large language models (LLMs) such as GPT, Claude, LLaMA, and Mistral, as well as computer vision models, speech recognition, and custom-trained models for specific business use cases.

Yes, we specialise in on-premise AI deployments. Our custom AI workstations powered by NVIDIA GPUs can run large language models locally, ensuring data privacy, reducing latency, and eliminating ongoing cloud inference costs.

An AI workstation is a purpose-built computer system optimised for artificial intelligence and machine learning workloads. It typically includes high-end NVIDIA GPUs, large amounts of RAM, fast NVMe storage, and is configured with the necessary software frameworks like PyTorch, TensorFlow, and CUDA.

Project timelines vary based on scope and complexity. A typical AI proof-of-concept takes 4 to 8 weeks, a full software development project ranges from 3 to 9 months, and DevOps pipeline implementation usually takes 2 to 6 weeks. We provide detailed timelines during our scoping consultations.

Yes, we offer flexible support packages including 24/7 monitoring, regular maintenance updates, performance optimisation, and dedicated account management. Support plans can be tailored to your specific needs and SLA requirements.

We offer several pricing models: fixed-price for well-defined projects, time-and-materials for flexible engagements, retainer-based for ongoing support, and subscription pricing for our platform products. Contact us for a detailed quote based on your specific requirements.

For most AI workloads, we recommend NVIDIA RTX 4090 or A6000 GPUs for training, and NVIDIA Jetson for edge inference. The specific configuration depends on your model size, dataset, and performance requirements. We offer free hardware consultations to help you choose the right setup.

Yes, Kubernetes is a core part of our infrastructure offerings. We deploy and manage K8s clusters using K3s for edge deployments, EKS/AKS/GKE for cloud, and bare-metal clusters for on-premise. Our team handles cluster setup, monitoring, scaling, and security hardening.

Absolutely. We design our solutions to integrate seamlessly with your existing technology stack. Whether it is connecting to legacy databases, REST/GraphQL APIs, message queues like Kafka, or enterprise platforms like SAP and Salesforce, we ensure smooth interoperability.