Let's talk about what's next
Tell us about your project, product demo request or partnership idea. We reply within 1–2 business days.
- Response timeWithin 1–2 business days
- Where we workRemote-first, serving clients worldwide
Common questions
What does a typical AI project look like?
Most start with a short discovery workshop and a focused proof of concept on your real data, usually within a few weeks. If the POC meets the agreed accuracy and value targets, we harden it for production with security, monitoring, evaluation and human review.
Is our data safe when you use LLMs?
Yes. We design solutions so your data stays within your cloud tenancy, for example Azure OpenAI or Amazon Bedrock in your own subscription. We apply encryption, access controls and PII handling, and your data is not used to train public models.
Can you work with our existing team and systems?
Absolutely. We regularly join existing teams as architects or as a dedicated delivery pod, and we integrate with legacy .NET, SQL Server, Oracle and third-party systems through APIs and messaging.
Do you work on Azure or AWS?
Both. We have deep Microsoft Azure experience and deliver on AWS (Lambda, EC2, S3, KMS, Bedrock). We will recommend the right fit for your needs, including hybrid and multi-cloud setups.
Our cloud bill keeps growing. Where do we start?
Start with a FinOps assessment. We analyse your Azure or AWS billing data, tag and allocate costs, and deliver a prioritised list of savings: quick wins such as idle resources and rightsizing, then commitments and architecture changes. We then help you set up budgets, alerts and a regular cost review so the savings last.
Which engagement models do you offer?
Advisory (architecture reviews and roadmaps), fixed-scope project delivery, and dedicated teams that extend yours. We can also support your RFP and pre-sales work.