Talk to an AI engineer about your project

Most projects are quoted at a one-time cost for an agreed scope. The price depends on the problem, the state of your data, the number of systems we connect to and whether we train a model or build on an existing LLM. Larger programmes can run with a dedicated team billed monthly. Model usage and hosting are paid to the provider from your own account, and we estimate them before you commit. We give you a range on the first call and a fixed quote after discovery. We do not work for equity.

A focused pilot, such as a chatbot on your documents or automating one process, usually takes a few weeks. Custom models, larger datasets and integrations with several systems take longer. After discovery you get a plan with milestones, and we recommend proving the approach on real data with a pilot before a full rollout.

It depends on the job. An LLM assistant that answers from your documents needs those documents, not a training dataset. A predictive or computer vision model needs historical examples, ideally labelled. We start with a short data audit to check what you have and whether it is good enough. If it is not, we can help collect, clean and label it, and we will tell you honestly if the data cannot support the result you want.

We work with OpenAI, Anthropic Claude, Google Gemini and open-weight models such as Meta Llama and Mistral, plus PyTorch, TensorFlow and scikit-learn for custom machine learning. We pick the model for each task by testing candidates on an evaluation set of your real examples and comparing accuracy, cost, speed and data residency. We design the system so the model can be swapped later without a rebuild.

Yes. We sign an NDA before you share any data. Where possible, data stays in your own cloud account, and we use business API tiers that do not train on your data, or open-weight models hosted privately when data must not leave your environment. Access is limited by role, data is encrypted in transit and at rest, and personal data can be masked before it reaches a model.

You do. On completion and final payment, the code, prompts, trained or fine-tuned models and documentation we build for you are handed over, as set out in the contract. Third-party and open-source models, APIs and libraries stay under their own licences.

Yes. We connect AI to your CRM, ERP, helpdesk, databases, website and messaging channels such as WhatsApp through their APIs. Where a system has no API, robotic process automation can work through its screens. The aim is for your team to keep using the tools they know, with AI doing the repetitive work inside them.

AI systems need looking after. We monitor accuracy, usage and cost, review the cases where the model got things wrong, update prompts and retrain models as your data changes, and move to newer models when they are better value. Support, maintenance and improvements are covered by an agreed support plan.

Our clients are in India, the GCC (including the UAE, Kuwait, Qatar and Saudi Arabia) and the USA, and we work with them remotely from our office in Coimbatore.