Corwin Lim@corwin_lim182
2
Events attended
2
Submissions made
Malaysia
3+ years of experience
About me
Every day, millions of pet parents make feeding decisions with incomplete information. They change food, supplements or routines—but rarely know what actually helped, what caused a problem, or what happened over time. I’m Corwin Lim, a pet nutritionist and founder of CaniBowl. We created functional, gently cooked pet nutrition—but we realized that better food alone was not enough. The missing piece was what happens after the bowl. That is why we built CAIOS. Each CaniBowl functional meal can begin a 30-day Care Journey. Pet parents complete a ten-second daily check-in covering feeding, digestion, energy and visible changes. CAIOS remembers the pet’s baseline, detects meaningful changes, captures confounders and produces a clear Care Story. We do not automatically claim that the food caused an improvement. When the evidence is unclear, CAIOS says so. CaniBowl generates recurring product revenue. CAIOS creates retention, personalization and structured real-world evidence that can improve future formulas. We are turning pet food from a product people simply buy into a care system that learns what happens next. CaniBowl provides the nutrition. CAIOS follows the journey.
🤓 Latest Submissions
VetThread-Voice by CAIOS
VetThread Voice is a realtime voice intake and veterinary handoff prototype for high-stress pet emergencies. Pet parents often describe events out of order, mix observations with questions, and omit timing or context. VetThread Voice uses AssemblyAI Realtime Speech-to-Text to capture the conversation, then applies an evidence layer that keeps structured observations tied to finalized owner-reported source turns. The product deliberately avoids diagnosis, treatment, dosing, prescription, prognosis, and unsupported causal claims. Instead, it focuses on capture, clarification, structure, provenance, safety routing, and professional handoff. For the hackathon demo, a simulated midnight feline emergency shows how the system moves from realtime speech to a structured handoff and then into a deterministic RED_ALERT_CRITICAL UI state when configured safety signals are detected. The commercial direction is B2B SaaS for veterinary clinics, emergency hospitals, and veterinary ecosystem partners through monthly or annual subscriptions. it captures spoken observations, preserves source evidence, asks bounded clarifying questions, and routes configured high-risk signals into a guarded emergency UI state without diagnosing or prescribing.
30 Sep 2026
CARLI Bimanual by CAIOS
CARLI Bimanual by CAIOS is a context-aware Physical AI system that turns natural-language care requests into safe, coordinated actions using two simulated SO-101 robotic arms. We’re building a MuJoCo-based bimanual manipulation pipeline that combines multimodal perception, task context, planning, action verification, and OpenVINO inference for Intel Core Ultra. Our demo focuses on a real-world pet-care scenario: understanding a request such as “Prepare Pika’s dinner,” reasoning about the pet and scene context, retrieving the required items, coordinating both arms, and verifying that the task was completed safely. We’re looking for teammates interested in robotics, VLA/multimodal AI, MuJoCo, OpenVINO, perception, and Physical AI.
16 Sep 2026
