For Partners Building the Replacements
Blue's Bunny Kingdom is the adoption-side partner to computational toxicology. We publish the rabbit-specific data nobody else compiles, push for the laws that release animals from laboratories, and will provide the sanctuary those animals need when they arrive.
We do not build models. We handle the part models cannot.
Organizations developing computational toxicology, organ-chip platforms and in silico safety methods are solving the discovery problem, and solving it quickly.
Three problems sit outside that work and nobody is funding them.
Nobody is counting the rabbits. Rabbit-specific laboratory use data exists only inside a general USDA report nobody disaggregates. We publish it, annually, with the trend lines. You cannot argue that a method displaced ninety thousand animals if nobody was counting.
Nobody is closing the adoption lag. Twenty-three years passed between validation of the rabbit pyrogen alternative and the last rabbit in Europe. That gap is documentation, regulatory pressure and public attention. It is exactly what a small advocacy organization does well and what a technology company cannot do for itself without it looking like marketing.
Nobody is taking the animals. When retirement laws pass, someone has to have built the place. We are building it.
What partnership looks like
Fund the data. The annual rabbit-in-research report, the state-by-state legal tracker, and the documentation of which methods displaced which tests. Roughly the cost of one engineer-month, published free, cited by everyone.
Fund the legislative work. Extending California's research animal adoption law to rabbits. A narrow, winnable bill with an obvious sponsor pool.
Fund the landing. Habitat capacity reserved for animals released from research. Named, in perpetuity, on the land.
Name a habitat. Founding gifts from $25,000 to $500,000 each name a permanent structure on the land. They close when the gates open.
Why this is a good use of a technology company's philanthropy
The argument for computational methods is that they are faster, cheaper and more predictive of human outcomes than animal models. That argument is strongest when someone independent is measuring the animal side of the ledger.
We are that someone, and we are not on your payroll.
