Making every identification easier to trust
We combine AI, practical pet knowledge, and real user scenarios to help people identify breeds faster and make safer decisions.
How we started
FaunaScan began with a simple but common problem: one of our teammates found an injured pet outdoors and could not quickly confirm its breed or what to do next. Information was scattered and hard to apply in urgent moments.
That experience shaped our direction. We focus on clear identification flows, understandable result explanations, and timely risk reminders. For us, useful technology means not only giving an answer, but helping people use it responsibly.
What we build
Faster recognition
Image understanding and ranked candidates help users get likely matches and key distinctions in seconds.
More useful explanations
We provide evidence cues, common confusion points, and practical context, not just a species name.
Clear safety boundaries
For high-risk scenarios such as medical concerns, rescue, or wildlife contact, we clearly state limits and recommend professional support.
Who we are
Our team includes ML engineers, product designers, content editors, and long-term pet observers with backgrounds in computer vision, science communication, and pet care services.
Model and engineering: identification strategy, error analysis, and continuous optimization.
Content and review: fact checking, structure, and multilingual localization quality.
Product and UX: interaction flow, readability, and consistent cross-device experience.
How we work
Clarity first: users should understand results before reading technical details.
Honest language: we do not market identification as perfect or universal.
Continuous improvement: we iterate with feedback and update both content and models.
Content and policy commitments
- We do not encourage dangerous behavior, pet harm, or illegal capture.
- We prioritize original content and proper attribution standards.
- For health, rescue, or legal matters, users should consult qualified professionals.
Contact us
We usually respond within 1-3 business days.