Frequently asked questions
How engagements start, how we handle your data, which models we use and how we price. If your question is not here, ask us directly.
Engagement
3With a short discovery engagement. We map the use cases worth pursuing, test feasibility against your actual data and produce an architecture and a costed plan — so you can decide whether to build with full information and without committing to a large project first.
Security
2Yes. We can deploy inside your cloud account, VPC or on-premise infrastructure, using open-weight models where a third-party API is not acceptable. The right architecture depends on your data and constraints, and we work that out during discovery rather than promising an outcome up front.
Technical
3We are model-agnostic. Depending on accuracy, latency, cost and data-residency needs we work with Anthropic Claude, OpenAI, Google Gemini and open-weight models such as Llama and Mistral — and we will tell you why we picked one for your use case.
Commercial
2Discovery and pilots are fixed-scope so you know the cost up front. Larger builds are quoted per engagement once the scope is clear. We do not publish rate cards, because a number quoted without understanding the problem is not useful to either of us.
Still have questions?
You will be talking to an engineer, not a sales script. Describe your use case and we will give you a straight answer on feasibility and cost.
Ready to build AI that actually gets used?
Tell us what you are trying to solve. We will map the smallest useful first step and be honest about whether AI is the right tool for it.