AI & Data Science
GenAI built into how your teams already work, running on infrastructure you control.
Beyond the chat window
Most GenAI projects stop at a chat window sitting on top of company documents. That is a reasonable start, but it is not where the value is. The return comes when GenAI is built into how teams actually work, on infrastructure the company controls, with results that feed back into the systems people already use.
So we start where you are: the processes you run today, the AWS environment already in place, and the security requirements that come with it. copebit holds the AWS GenAI competency and is an Anthropic reselling partner, so Claude can be procured through us and run alongside the rest of your AWS estate.
We can run a funded AI Assessment to find the workloads where GenAI pays off, so the first project is a sensible one rather than a large bet.
Where we are strong
Enablement that sticks
Hands-on workshops for developers on GenAI coding tools, covering prompting, agentic workflows and where the tools break down. We introduce AI-DLC so AI becomes part of the delivery lifecycle rather than something individual developers use on the side. For business teams, sessions on where GenAI fits into daily work, what it can be trusted with, and what still needs a person.
Work that runs itself
Extracting structured data from PDFs, emails, tender documents and other sources that were never designed to be machine readable. Pipelines read the input, classify it and hand the result to the systems already in use. Work that cost someone hours every week runs in the background instead, and the people who used to do it move to tasks that need judgement.
AI your CISO can approve
Private Amazon Bedrock backends, so prompts and company data stay inside your own AWS account. A controlled catalogue of MCP servers in front of users, so they connect to sanctioned tools and data sources rather than whatever they find online. And the boundaries are explicit: what the model sees, where it runs, and what is logged.
Start with a funded AI Assessment
We look at the processes you run and the AWS environment you already have, then find where GenAI actually pays off.