DeepQ AI
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Your data is yours. Full stop.

Every session, every dataset, every solution stays within your boundary. Not used to train models for others. Not shared across organizations. Not accessible to anyone outside your workspace.

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What "yours" actually means.

Not used to train models for others

Your data, your problem framings, your domain context — none of it goes into a shared training corpus. What you build with DeepQ AI stays specific to your workspace.

Not shared across organizations

No cross-tenant data sharing. No "anonymized aggregations" sold as benchmarks. No exceptions.

Yours to take with you

Every asset generated in DeepQ AI — solutions, datasets, methodology documents, deployment artifacts — belongs to you. Export anytime.

Yours to delete

On request, your data is removed from active systems and from backups within defined retention windows. Documented, auditable.

Security built in, not bolted on.

01

Encryption

Data encrypted in transit and at rest. Industry-standard ciphers. Customer-managed encryption keys available on dedicated and on-prem deployments.

02

Access controls

Role-based access. Workspace-level isolation. Multi-factor authentication. SSO via SAML and OIDC for paid engagements.

03

Audit trails

Every session, every action, every administrative change — recorded and queryable. Audit logs exportable to your SIEM.

04

Network isolation

Workspaces run in isolated environments. No shared compute across tenants for paid engagements.

05

Vulnerability management

Continuous monitoring. Regular penetration testing. Documented response and disclosure process.

Choose where your data lives.

Shared cloud

DeepQ AI's managed cloud, with workspace-level isolation. Standard for evaluation and most paid engagements. Fastest to set up.

Workspace isolationFastest setupMost engagements

Dedicated cloud

A dedicated environment in DeepQ AI's cloud, with isolated compute, dedicated networking, and customer-managed encryption keys. For organizations with elevated security or regulatory requirements.

Isolated computeDedicated networkCustomer-managed keys

On-premises

DeepQ AI deployed inside your own infrastructure. Your cloud, your network, your perimeter. For regulated industries or organizations where data cannot leave a defined boundary.

Your infrastructureYour perimeterRegulated industries

Choosing between them is a conversation that happens during engagement scoping, based on your industry, your data classification, and your compliance posture.

What we comply with, and what's underway.

CurrentIn place today
  • Aligned with SOC 2 Type I controls
  • GDPR-compliant data handling
  • Regional data residency support
  • Workspace-level audit logging
In progressUnderway
  • SOC 2 Type II audit
  • ISO 27001 certification track
  • Penetration test (annual)
  • Customer-managed key support — dedicated cloud
On the roadmapPlanned
  • HIPAA Business Associate readiness
  • FedRAMP for US public sector
  • Regional certifications per market
  • Industry-specific frameworks (PCI-DSS, MAS-TRM)

Industry-specific compliance

For regulated industries — banking, financial services, insurance, healthcare — compliance requirements are scoped during engagement. Deployment choice (shared / dedicated / on-prem) and contractual terms are configured to your regulatory framework.

Questions deeper than this page can answer?

Security and compliance details are addressed directly during engagement scoping. Bring your security team to a Bootcamp — we'll walk through architecture, controls, and deployment options together.

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