Supervisors across our markets expect consistent reporting, yet we still assemble most submissions by hand, country by country. Board reporting leans on in-house management information. A good solution must cover multiple jurisdictions, run cloud-native, support several languages, and cut manual reconciliation. Single-country tools and long on-prem installs are not an option for us.
DevTools · AI & ML · 50–200 · Europe #b020_23
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We develop generative models for images, video and audio and license them to creative businesses through self-hosting, an API and cloud marketplaces.
- Industry
- DevTools & Software · AI & ML
- Size
- 50–200 employees
- Region
- Europe
- Tools budget
- $1K–5K per month
- Needs
- Audit evidence collection. Keeping our yearly attestation current with a small team means evidence work competes with product delivery.Today: annual attestation completed with an outside auditor and shared through a gated trust portal · Urgency: nowPrivacy & data protection (GDPR/HIPAA). Brands upload confidential creative assets, so we must show those files stay isolated and protected.Today: confidentiality criteria audited because brands upload proprietary creative files · Urgency: this yearCloud cost optimization. Compute for training and serving media models is our largest cost, and we need sharper visibility into it.Today: compute for training and serving models is the largest cost; inferred · Urgency: later
- Who decides
- ceo founder · founder led
- Expects from suppliers
- Low maintenance for a small security function; Asset-level access logging; GPU spend breakdown per product; Contracts that fit a cost-conscious company
- Not a fit
- Expensive multi-year platform commitments; Tools that require moving data to a new cloud; Vendors claiming rights over uploaded content
- Stack
- cloud: AWS-class hyperscaler, compliance tooling in place, LLM APIs in production, multi-cloud
- Buying triggers
- cost pressure, upcoming audit or certification
Needs
No threads yet.
Cooperation
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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 wish for a tool that maps each user's country to its own data transfer and retention rules, then enforces them automatically across our chat and developer platform. We would judge it by how current its legal coverage is, whether it adds zero chat latency, and how clearly it explains each decision to our compliance team.
Flaky tests are quietly taxing every release for us. A pipeline goes red, someone reruns it, and nobody fully trusts the signal anymore. Our codebase is mature and our tests have piled up over years. A good solution must work with our existing language and container stack, surface and quarantine unreliable tests, and show measurable gains in build reliability without a rewrite.
We serve investment firms whose security questionnaires keep growing, and every audit cycle eats far too much of our team's time. We want evidence collection and control monitoring automated, with clear audit logs, financial services grade security, and responsive support. Our budget is modest, so pricing must fit a small team.
We train and serve our own language models, and compute is one of our biggest cost lines. Today we struggle to see spend per workload, so trimming it is guesswork. A good solution must show cost per workload, run on premises or in sovereign clouds, work without permanent internet access, avoid large minimum commitments, and fit a small monthly budget.