Big architecture, AI and platform decisions should not be made from slides. A PoC sprint builds the riskiest part first, on your AWS account, with production-shaped code, so you can decide with evidence. Startup, scale-up or enterprise, the format is the same. We are equally comfortable when the answer is “no”.
De-risk a migration wave, a platform choice or a GenAI initiative before it goes to the steering committee. Evidence from your own data and accounts, structured to qualify for AWS proof-of-concept funding where available.
Prove a Karpenter and Spot strategy on a copy of production, test Graviton or Trainium on a real model, or validate a serverless re-platform of one critical service before committing the roadmap.
Show investors and design partners a working system instead of a deck. Build the feature that decides the round on a fixed budget, with an architecture that will not need rewriting after it works.
We agree the hypothesis, the success metrics, the budget cap and what “no” looks like. If the question is not sharp enough to answer, we sharpen it first.
Day 1–2A small senior team builds the thinnest version that exercises the real risk: latency, cost, accuracy, integration or scale. Infrastructure as code from the first commit.
Week 1–3We run the PoC against your data and traffic patterns and record the numbers against the metrics we agreed, including a real cost model for production.
Final weekA short go / no-go report, the code, the cost model and a production plan if you proceed. Nothing you have to reverse-engineer from a demo.
Last dayWe will tell you within a call whether it needs a sprint, an afternoon, or a different idea entirely.
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