Fintech · Wealth & Investing · 200–1000 · Asia-Pacific #b042_03

Running language model workloads across regions is pushing our cloud bill up faster than we can explain it. We need spend attributed by team, feature and region, with hard caps that stop runaway usage. A good solution must show who caused a cost, alert before limits hit, and keep a clear audit trail.

We sustain several overlapping card-industry certifications across terminal hardware, software and our online gateway. Each audit cycle asks for similar evidence again, pulled by hand from different teams. We need one place that maps controls across frameworks, collects evidence continuously, handles regional hosting, and passes bank-style due diligence. Consolidation matters more to us than another point tool.

Since moving to the cloud, our hosting bill has become something engineering leads review by hand, with no dedicated tool. As usage grows we want it to stay predictable. A good solution gives cost visibility per service, fits a mature monolithic web app, and lets one team trial it without a long rollout. Not interested in tools that assume a microservice estate.

We run heavy performance and correctness testing on our engine and its connectors, and much of it is still slow and partly manual. We need automation that handles large JVM codebases, runs well for remote engineers, and includes benchmark tooling we can repeat. Budget is modest, so pricing must stay small-team friendly. Tools built only for small codebases won't work for us.

We wish for one place that keeps controls and evidence current across every framework we claim, with crosswalks between healthcare, payment and secure development requirements. We would judge it by how little manual evidence chasing remains before an audit, whether pricing is published upfront, and whether it fits a small budget and our existing pipeline.