Resilabs provides ZIPCODE, an AI‑driven API that delivers real‑time, sub‑second property price estimates with confidence scores and liquidation thresholds. The service uses NVIDIA‑accelerated inference to supply institutional investors, DeFi lending protocols, and tokenization platforms with reliable, machine‑readable valuation data at $0.001 per request.
Funding
Funding not disclosed
Founders
Product
Problem
Accurate, real-time property valuation data is scarce for institutional investors and decentralized finance platforms, leading to reliance on outdated or opaque sources that increase risk in real‑estate tokenization, lending, and trading.
Solution
Resilabs offers ZIPCODE, an API that delivers high‑frequency, AI‑driven property price estimates with sub‑second latency and confidence scoring. The service leverages NVIDIA‑accelerated models and a network of inference nodes to compute valuations on demand, returning a price, confidence metric, and liquidation threshold for each request. By providing a standardized, machine‑readable feed, ZIPCODE enables developers and financial institutions to integrate reliable real‑estate pricing into tokenization protocols, lending platforms, and market analytics without building their own valuation infrastructure.
Target Audience
Primary customers are institutional real‑estate investors, DeFi lending protocols, and tokenization platforms that require accurate, on‑demand property valuations.
Features
- Real‑time property price feed with average response time of 0.8 seconds
- Confidence score (e.g., 98.4 %) and liquidation threshold included with each valuation
- NVIDIA‑accelerated AI inference for high‑throughput, low‑latency calculations
- API pricing at $0.001 per request, supporting scalable usage
- Integration-ready JSON output compatible with DeFi and tokenization platforms
- Ecosystem connections to inference platforms, investors, and node operators for data reliability