We assemble our supervisory returns by hand, pulling data from several departments right before each statutory deadline. It is slow, error-prone and hard to audit. A good solution must pull from our existing systems automatically, keep figures consistent across reports, track deadlines, keep full lineage, and keep all data hosted inside the European Union.
DevTools · Data Platforms · 50–200 · Europe #b018_04
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We build a platform for machine learning data and features that enterprises deploy in their own cloud or data centre to train and serve models.
- Industry
- DevTools & Software · Data Platforms
- Size
- 50–200 employees
- Region
- Europe
- Tools budget
- $1K–5K per month
- Needs
- Faster CI/CD. Our platform ships to many customer environments, and our build and release pipeline is slower and more fragile than we want.Today: deployment pipeline owned by a small devops group across several public clouds, scripted by hand · Urgency: this yearInternal developer platform. Engineers spend too long setting up test clusters to reproduce customer deployments on different clouds.Today: a small platform team runs the product on container orchestration with open-source monitoring · Urgency: nowSOC 2 / ISO 27001 automation. Enterprise buyers increasingly ask for formal security attestations before they will install our software.Today: certifications renewed annually through external auditors alongside product engineering work · Urgency: this year
- Who decides
- cto · team trial
- Expects from suppliers
- Works with self-managed Kubernetes; Reasonable pricing for a scale-up; Fast setup with little consulting
- Not a fit
- SaaS-only tooling that cannot run air-gapped; Long enterprise procurement cycles
- Stack
- Kubernetes, multi-cloud, on-prem / private cloud, CI/CD pipeline in place
- Buying triggers
- rapid team growth, new market or product launch
Needs
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Cooperation
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Our regulated customers keep asking for more compliance frameworks to cover our hosted service, and doing each one by hand would swamp our small team. We need automation that spans several frameworks, not just one attestation, without a dedicated compliance hire, a long procurement cycle, or enterprise-only pricing.
We wish we had one tool that maps every consent record and telehealth visit recording to the data rules of each participant's country, then enforces retention, access and transfer limits automatically. We would judge it by audit-ready evidence, validated configuration, proven use with patient-facing apps, and support across time zones. Fewer manual legal reviews per trial would be the clearest proof.
We wish a tool existed that tracks, per tenant, exactly where customer data is stored and flags drift from the agreed region. We would judge it by clear audit trails, support for our managed Kubernetes setup, no reading of customer content, and a security review we can pass. Pricing must fit a small team budget.
We ship our mobile savings app updates often, yet too much release confidence still rests on manual checks and a small team stretched thin. We need broader automated coverage that runs inside our existing pipeline, handles real devices and load, and shows clear results to engineers. Quick team trial, light onboarding and transparent pricing as we scale matter most.
Our bank clients expect independent assurance on our controls, and every cycle we spend weeks chasing evidence across teams and systems. We need something that gathers proof continuously from our cloud environment and pipelines, maps it to control frameworks, and keeps an audit-ready trail. Light rollout, no on-premise installs, and priced for a small team.