VeUP designs, builds, migrates, and operates production workloads on AWS — generative and agentic AI, cloud operations, data, and security. This is the complete proof library: real customers, real architectures, measured outcomes. We build what we promise.
VeUP holds the AWS Cloud Operations Competency and the AWS AI Competency, in both its Generative AI and Agentic AI categories — each backed by the delivered customer work behind these tiles.
Running production AWS estates — observability, cost, governance, and day-2 operations as an engineering discipline.
01 · Cloud Foundation specialismGenerative AI in production on Amazon Bedrock — RAG systems, multimodal moderation, and natural-language products serving live traffic.
03 · Agentic AI specialismTool-orchestrated agents and MCP-driven workflows shipped to production, with guardrails and fallbacks engineered in.
03 · Agentic AI specialism
and 8 more under NDAThe engine behind this library. VeUP runs its own delivery on frontier AI, in production, every day.
In productionNew — July 2026Cloud Foundation unlocks the environment. Sovereign AI puts the first private AI workload inside it. Agentic AI goes deepest into the workflow. Every practice area rolls up to exactly one of them — nothing sits outside the three.
The governed AWS environment everything else runs on — multi-account landing zone, security baseline, migration, and the day-2 operations that keep it standing.
AI that never leaves the customer's own AWS account — private models grounded in the customer's own data, with residency and regulatory constraints engineered in rather than bolted on.
Tool-orchestrated agents and assistants running in production on Amazon Bedrock — guardrails, evaluation, and fallbacks engineered in. Not demos.
In productionNew — July 2026Qwen 3 VL won a production workload outright — 99.58% NSFW accuracy on a moderation agent, scored against Claude Opus, Llama 4 Maverick, Llama Guard 4 and Nova Premier on the customer's own labelled data, every candidate invoked through Amazon Bedrock.
Counts are unique documented engagements, deduplicated — one customer engagement filed under three practice areas counts once.
89 delivered case studies. Name a service, an industry or a customer — or just describe the problem you are trying to solve.
Every engagement on this site is assembled from primary sources — the calls, contracts, architecture documents and code of the work itself. Claims are proposed from that evidence, then argued against by an independent reviewer whose job is to defeat them; most do not survive, and those are dropped rather than softened. Anonymized customers stay anonymized by a gate, not by memory.
Evidence corpus last rebuilt 2026-07-31 · anonymized customers are gated at publish time, never by convention
