Ethics & Safety by Design
We apply an “ethics first” review to every use case: intended outcome, potential harms, failure modes, and human-in-the-loop requirements are defined before build.
AI Ethics & Security
Our Trust Commitments
Clear guardrails. Sensible architecture. Documentation your team can actually use.
TLS / AES-256
Encryption (in transit/at rest)
Minimized
Default data retention
When Impactful
Human-in-the-loop
How We Protect You
Practical controls and documented processes—so security isn’t an afterthought.
Model & Vendor Selection
We choose models based on data security posture, latency, cost, evals, and risk profile—not just benchmark headlines. We default to reputable, well-governed providers.
Data Minimization
We only collect what’s needed, avoid long-lived retention by default, and prefer redaction, pseudonymization, or retrieval over raw data transfer when possible.
Segregation & Storage
Customer data is logically segregated. We support region pinning where available and encrypt data at rest and in transit (TLS 1.2+ / AES-256).
Access Controls
Principle of least privilege, SSO where possible, scoped API keys, and time-bound secrets. All admin actions are logged and reviewed.
No Training on Your Data (Default)
We disable provider training on your prompts/results where supported, or route via options that respect data-control commitments.
Contracts & DPAs
We execute NDAs and Data Processing Addenda on request. Subprocessor lists are available and kept current.
Responsible Use & IP
We protect your IP. Generated content usage and license terms are clarified per engagement; we avoid gray areas and respect third-party rights.
Testing & Evals
We use automated and scenario-based evals for quality, bias, safety, and jailbreak resilience. Changes require regression checks.
Incidents & Reporting
If a security or privacy incident occurs, you’ll receive timely notifications and a full postmortem with remediation steps.
Governance & Documentation
We ship with playbooks: acceptable use, escalation paths, prompt hygiene, and human review guidelines for your team.
Accessibility & Inclusion
We consider accessibility in UX and content outputs and evaluate bias risks in model behavior for materially impacted personas.
DPAs & NDAs on request
Change control & reviews
Incident response with postmortems
Trust FAQ
Do you store our prompts or outputs?
By default, we avoid storing prompts/outputs beyond what’s necessary for debugging during build. For production, storage is opt-in and time-limited with redaction where feasible.
Which providers do you use?
We’re vendor-agnostic. Common choices include major cloud LLM providers and vector DBs with strong compliance footprints. Final selection is driven by your requirements and data policies.
Will our data be used to train models?
No—our default is to disable training/retention options and choose routes that contractually prohibit training on your data.
Can you work within our VPC?
Yes. We can design architectures that keep data inside your perimeter or use private networking and scoped secrets.
Do you sign a DPA / NDA?
Absolutely. We provide mutual NDAs and will execute DPAs aligned to your regulatory needs.
Need a security questionnaire completed? Email us and we’ll turn it quickly.
Ship AI with Confidence
We’ll align architecture, controls, and documentation to your standards.