AI can help organize drafts. People decide.
WhiskerMatch uses AI carefully. AI may help draft and organize information, but people review profiles, applications, and placement decisions. Nothing important should happen invisibly.
draft, structure, summarize, and flag missing fields
staff review profiles, applications, and placement calls
no auto-placement, no auto-rejection, no pay-to-rank
unknown fields are not filled with guesses
a real person is attached before publishing
What AI does. What humans do. What we never automate.
AI drafts, structures, and summarizes. It does not make placement-level decisions. These lines are product constraints, not preferences.
- Animal profilesAIDrafts structured fields from intake sources as a review aidHumanReviews, edits, and approves before publicationNeverNever invents fit claims or medical status; never scrapes or pads a profile to look more complete than the record is
- Fit signalsAISurfaces intake-grounded signals with confidence for human reviewHumanOwns placement-level decisionsNeverNever produces a single opaque match score; never manufactures certainty the shelter does not have
- Care & behavior contentAIDrafts from a curated source library for human reviewHumanReviewed by credentialed reviewers with dates and sourcesNeverNever replaces a veterinary relationship and never gives medical, legal, or compliance advice
- ApplicationsAIGroups and summarizes for human reviewHumanTriages, responds, and decidesNeverNever auto-rejects and never auto-places based on model output
- Ranking / discoveryAIOrders by fit and recencyHumanSets organization-level preferencesNeverNever accepts pay-to-rank; no partner, sponsor, or advertiser can influence animal discovery
Each boundary is a visible mechanic with a reason it exists.
Not policy prose — product behavior. Draft badges, the review gate, source trails, unknown-field states, and the pay-to-rank wall.
AI drafts only
Draft badge on generated content · named reviewer required before anything is acted on
Invisible automation making placement calls
Source trail
Every reviewed field carries where it came from — intake, foster, vet, reviewer — visible on the record
Confident-sounding profile copy with no traceable origin
Publish gate
Public profile is blocked until required fields are reviewed
Stale or incomplete public records going live
Named reviewer
Reviewer, timestamp, and credentials recorded on the case
Anonymous changes and unclear ownership
Missing stays missing
Unknown and needs-review field states are shown, never auto-filled
Invented certainty about an animal
Change history
Field-level edits keep before/after, who, and when — and a re-review trigger on sensitive fields
Quiet rewrites of medical, behavior, or availability state
No auto-decisions
No auto-rejection, no auto-placement · humans approve, decline, and publish
Adopters or animals being filtered out by a model
No pay-to-rank
Ranking has no paid inputs · no partner, sponsor, or advertiser can influence discovery
Money buying which animals or organizations are shown
Commerce separation
Essentials and partner offers are post-placement only — isolated from the placement surface
Commerce nudging an adopter toward an animal or a shelter
See these boundaries in motion in the interactive product demo — each event shows what AI may draft and what a human must review.
Commerce and placement are separate systems, by construction.
This is not a promise to behave. There is no path for money to reach ranking, discovery, matching, placement visibility, or applicant priority.
- Animal record
- Placement workflow
- Public profile
- Applicant workflow
- Discovery / ranking
- Essentials catalog
- Sponsors
- Partner resources
- Post-placement support
Commerce cannot influence animal ranking · discovery order · matching · placement visibility · applicant priority · reviewer priority. Different systems, different incentives, no shared path.
A record is not frozen the moment it is published.
Animals change. Intake notes get corrected. Behavior is re-observed. The point of one reviewed animal record is that change is tracked and visible — not silently overwritten.
New information arrives
A staff member, foster, reviewer, or adopter flags something — a medical update, a corrected age, a behavior change. The flag routes back into the queue with an owner, not into a comment that nobody reads.
The record is re-reviewed
A human reviews the change before it changes the public record. Medical and behavior content has a standing review cycle. Reviewed is dated, so a stale review is visible as stale.
The change is attributed
What changed, who changed it, and when is recorded on the record. A correction is a tracked event, not an invisible edit. The history travels with the animal.
Uncertainty stays honest
If something is no longer known with confidence, the field returns to unknown rather than holding a value that is no longer true. Unknown stays unknown — including after a change.
What we hold, what we don't, and how you get it back.
Stated plainly so it can be checked. This describes the posture, not a substitute for the written terms of a pilot agreement.
The marketing site stores nothing
This public site has no backend, no account, and no database. Inquiry forms compose an email draft from your own client to founders@veldarium.com — nothing is submitted to or stored on a server here.
Deletion requests
A deletion request can be made by email to founders@veldarium.com and is handled by a person. Because the site itself stores nothing, deletion concerns relate to product data, addressed through the pilot agreement.
Product data export
For organizations in the pilot, structured export of your records is part of the pilot agreement. If you decide not to continue, your data leaves with you. No lock-in is the intended posture.
No quiet secondary use
Organization and household data is not sold, rented, or fed into a marketing or ad graph, and is not used to train third-party models. It stays inside the system it was given to.
This is the stated posture for an early, founder-led stage. The binding specifics — retention, export format, deletion timelines — live in the pilot agreement, not in marketing copy.
Review is a process, not a stamp.
On WhiskerMatch, “reviewed” has a specific operational meaning. The parts travel with the content so a reader can see them without clicking through to a policy page.
Who reviews
Credentialed humans with a domain match — DVMs on medical, certified trainers on behavior, shelter staff on animal-level fit. Credentials are attached, not implied.
What gets attached
Reviewer name and credentials, the date of last review, the sources consulted, and the region the review applies to. All visible on the content.
What triggers re-review
Flags from staff, reviewers, or adopters route back to queue. Medical and behavior content has a standing review cycle — reviewed isn't set-and-forget.
What it isn't
Not a stamp. Not AI output relabeled as human work. Not a one-time approval that persists forever. AI drafts are review aids; humans decide what ships. Review is dated for a reason.
Credentialed reviewers are vetted by the founder, not self-claimed. If you hold relevant credentials, the reviewer path is open.
Apply as a reviewer →Read access broadly. Write access selectively.
Expert notes are a high-signal annotation layer on care, behavior, and medical context — not an open forum. Most users read. Only vetted contributors write.
Who can write
Credentialed DVMs, certified trainers, shelter-medicine specialists, and other vetted welfare experts. Credentials are verified by the founder, not self-claimed.
Who can read
Anyone viewing an animal profile or care article. Expert notes are a public layer — the barrier is on publication, not consumption.
What gets published
Care guidance, behavior context, medical background, and placement-relevant notes — all reviewed, dated, and attributed. Not opinion threads. Not anonymous tips.
What it is not
Not a social network. Not an open comment section. Not animal welfare Reddit. Not a place for anyone with an opinion to post. High signal, low noise, by design.
The review system depends on credentialed humans — DVMs on medical, certified trainers on behavior, shelter-medicine specialists on care context. The reviewer network is being built, not staffed yet. If you hold relevant credentials, the reviewer path is accepting interest now.
You never have to guess what you're reading.
Care, behavior, and medical context carry state, reviewer, last-reviewed date, and sources on the page itself — not buried in a policy footer somewhere.
- Reviewer credentials attached to every reviewed piece
- Last-reviewed date and sources shown inline
- Flagging is frictionless, routed to re-review
- Region-aware, not globally flattened
Decompression in the first 72 hours: what actually helps.
A short, evidence-aligned guide for the first three days home — sleep, space, food, and what to watch for. Written to support a veterinary relationship, not replace one.
Platform-wide standards that aren't up for negotiation.
These apply to every surface of WhiskerMatch. They are enforced defaults, stated in public so behavior can be checked against them.
No pay-to-rank, ever.
No partner, brand, shelter, or advertiser can pay to change placement order. Not on animals, not on essentials, not on anything that touches discovery.
No fabricated animal facts.
If a detail isn't confirmed by the shelter's intake or a named reviewer, the field stays unknown. Unknown is a valid state.
AI drafts are review aids. Humans decide.
Drafting, summarizing, and normalization are automated. Every placement-level decision — adopt, foster, publish, reject — stays with a named human who knows the animal. AI output is not a substitute for human judgment.
The shelter owns its record.
Organizations keep authority over how their animals are represented, which fields are public, and where their data goes. The platform doesn't override that authority.
Educational content carries its sources.
Care, behavior, and medical context show the reviewer, the review date, the sources consulted, and the region the guidance applies to — inline on the content, not buried in a footer.
Commerce stays separate from placement.
Curated essentials and partner products never influence which animals appear first, which profiles get prominence, or which shelters are recommended. Different systems, separate databases, no cross-contamination.
Expert notes are read-broadly, write-selectively.
Care and behavior guidance is written by credentialed, vetted specialists — not crowdsourced, not open-posting. Read access is public. Publication is controlled. High signal, low noise.
No dark patterns.
No countdown pressure. No manufactured scarcity. No guilt copy. No default-opt-in tricks. The product treats staff and adopters as adults.
Three hard boundaries.
The principles above describe what the platform enforces. These three describe what it refuses to become — no matter who asks.
Not a veterinary authority.
WhiskerMatch is not a veterinary authority. The platform does not diagnose, prescribe, or replace the veterinary relationship between an adopter and their clinic. Care and medical content is drafted from a reviewed source library and carries the reviewer's name, credentials, and review date. It is provided for informational purposes only and is not medical advice. It is not a substitute for a professional clinical examination, diagnosis, or treatment. If an animal is experiencing a medical emergency, contact a veterinarian or emergency clinic immediately.
Not a ranking auction.
No partner, brand, shelter, or advertiser can pay to change placement order, anywhere on the platform. This is a platform-wide constraint, not a line item in a pricing tier.
Not a silent data extractor.
Household profiles and shelter records are not sold, rented, or quietly fed into a marketing or ad graph. What an adopter shares with a shelter stays between that adopter and that shelter.
Not an autonomous decision-maker.
WhiskerMatch does not use AI to make placement decisions, auto-reject applicants, or publish records without human review. AI drafts are review aids. Humans retain full authority and accountability for every decision that affects an animal's placement.
See the system that enforces these boundaries.
First pilot group accepting requests. Every partner shapes the defaults these standards are enforced on.