Know exactly where your data goes
The first question with any AI feature should be: where does the data go, and who can use it? We design AI systems with an explicit data flow — what's sent, to whom, where it's stored, how long it's kept, and whether it can ever be used to train someone else's model.
We use deployment options and provider terms that keep your data out of third-party training, and when data simply can't leave your environment, we run models you host yourself. Either way, you get a clear, documentable answer instead of a vague assurance.
- A documented map of exactly where data flows and is stored
- Configurations and terms that keep data out of model training
- Data minimization — send only what the feature actually needs
- Retention and deletion controls you define
- Self-hosted option for data that can't leave your environment
- Redaction of sensitive fields before processing where appropriate
Built to support your compliance obligations
If you handle regulated or personal data, an AI feature has to fit within your obligations — not sit outside them. We build with access controls, audit logging and data handling that align to frameworks like GDPR, CCPA and HIPAA-style requirements, and document it so your reviewers can verify what we did.
To be clear and honest: we're engineers, not your lawyers or compliance auditors. We build systems that support compliance and give your legal and compliance teams what they need to sign off — the final legal determination is theirs.
- Role-based access control and least-privilege data access
- Audit logging of who accessed or processed what
- Handling aligned to GDPR / CCPA / HIPAA-style requirements
- Documentation your compliance and legal teams can review
- Consent and data-subject-request considerations built in
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Frequently asked questions
If we use an AI provider, will our data be used to train their models?
It depends entirely on the provider, the plan and the settings — and getting this right is exactly the point. Many business and enterprise offerings contractually exclude your data from training, and we configure accordingly. Where you need an absolute guarantee, self-hosting an open model removes the third party altogether. We'll document the specific arrangement so it's verifiable, not assumed.
Can you make our AI feature HIPAA or GDPR compliant?
We build systems that support those requirements — proper data handling, access control, logging, minimization and documentation — and we work with your compliance and legal teams. But we're honest about the boundary: we're not your compliance auditor or attorney, so the formal determination that you're compliant rests with them. Our job is to give them a system and documentation they can confidently approve.
What's the safest option if our data is extremely sensitive?
Keep it inside your own environment. Running an open, self-hosted model means the data never goes to an outside AI provider at all. It costs more to operate, but for the most sensitive data it removes the third-party risk entirely. We'll help you weigh that against hosted options with strong contractual protections.