The trust layer for the donor-gamete industry.
Array is building privacy-preserving accountability infrastructure for families, donors, clinics, and cryobanks: evidence-backed records, informed-consent workflows, granular controls, and AI-assisted review that makes risky patterns visible earlier.
Source-linked
Donor agreement v2.1
AI-assisted check
Inconsistency detected
Human review
In progress
Decision path
Finalization
Selected consent rule
Health update
When new health information arises, the donor can choose what is shared, with whom, when, and through review.
- Information type
- Health update
- Audience
- clinic + recipient family
- Timing
- immediate upon update
- State
- Source
- donor agreement v2.1
- Review path
- clinic privacy officer
- Visibility
- redacted summary by default
Evidence-backed records
Informed-consent workflows
Granular controls
AI-assisted review
Anonymity is no longer reliable infrastructure.
Commercial DNA testing, social media, public records, and online search make donor identity and genetic relatives increasingly discoverable. That does not mean forced exposure. It means the donor-gamete industry needs better systems for consent, context, updates, privacy, and cryobank accountability.
Learn moreCommercial DNA match
Needs informed consent, contact boundaries, and reviewable records.
Searchable social graph
Needs informed consent, contact boundaries, and reviewable records.
Health update need
Needs informed consent, contact boundaries, and reviewable records.
Sibling network discovery
Needs informed consent, contact boundaries, and reviewable records.
Living consent record
Make donor-gamete consent specific, reviewable, and durable.
Array turns consent into a source-linked record across identity release, health updates, donor profile sharing, sibling connection interest, contact boundaries, and clinic or cryobank review.
Why it matters
From one-time permission to a living record.
Array replaces static forms with accountable processes that protect privacy while keeping the right information available to the right people.
Permission model
Binary permission
All or nothing.
Granular rules
Specific choices for topics, audiences, timing, and conditions.
Record
Static file
Hard to update and easy to lose context.
Versioned history
Every change is time-stamped and source-linked.
Review & oversight
Hidden institutional process
Families do not know who reviewed or why.
Visible review path
Named reviewer, role, and rationale are recorded.
Information sharing
Generic disclosure
Broad sharing, often more than necessary.
Audience-specific sharing
Redacted summaries by default; expand only when appropriate.
Privacy by design
Minimize data. Share less. Keep control.
Human review
People make the calls. Not automated decisions.
Source-linked
Every rule ties back to its source.
Built for all parties
Families, donor-conceived people, donors, clinics, and programs.
AI-assisted, human-accountable donor-gamete operations.
Array uses AI-assisted pattern identification to surface inconsistencies, missing updates, unusual offspring-count signals, and consent or contact risks for human review.
How review worksAI-assisted review queue
AI surfaces what needs attention. People make the decisions.
Join the waitlist.
Share a few details and we will follow up when the right workflow is ready.