Encrypted, cheap appraisals live
RESI Labs launched institutional‑grade AI property appraisals on Chutes’ decentralized compute, promising low‑cost, encrypted inference for agents and brokerages. That ups the valuation game—agents face faster comps and less dependence on legacy appraisal channels. (x.com)
RESI’s “RESI‑USA‑residential‑appraisal” is published as a runnable Chute on Chutes’ app directory, showing 319 runs and an execution price listed at $0.0001 USD per second (with a TAO rate also displayed). (chutes.ai/app/chute/b34a0fc1-87ac-5128-a61b-de5e7ac75023) RESI manages its valuation models in an open repository where miners submit ONNX models that are scored against ground‑truth sales data inside Bittensor’s Subnet 46 incentive framework. (github.com/resi-labs-ai/RESI-models) Chutes has publicly rolled out Trusted Execution Environments (TEEs) to run inference inside hardware‑isolated environments, which isolates model code and inputs from the host during execution. (chutes.ai/news/confidential-compute-for-ai-inference-how-chutes-delivers-verifiable-privacy-with-trusted-execution-environments) Chutes’ pricing docs and third‑party coverage describe a pay‑as‑you‑go/token model and independent comparisons claim token costs that can be multiples cheaper versus mainstream commercial LLM APIs (coverage citing up to ~50× differences). (chutes.ai/pricing; taodaily.io/why-pay-50x-more-its-time-to-change-to-chutes/) A recent non‑binding LOI from NextGen proposes a $200,000 investment into Resi with a $20 million valuation cap as part of a potential JV to scale Resi’s real‑estate subnet to enterprise customers. (marketscreener.com/news/nextgen-digital-platforms-inc-signs-loi-with-resi-labs-to-scale-ai-real-estate-subnet-on-bittensor-ce7d5dddde8ff72d/) Chutes’ public roadmap and homepage state the platform runs on high‑end accelerator fleets (H200s, B200s, A6000s) and advertises capacity measured in billions-to‑trillions of tokens per month, indicating the infrastructure scale needed for rapid batch appraisal workloads. (chutes.ai/roadmap; chutes.ai/) RESI’s project pages and tracking dashboards reference API‑level query economics targeting roughly $0.001 per basic property query as a goal to undercut legacy data vendors that charge hundreds of thousands of dollars annually for access. (subnetalpha.ai/subnet/resi/)
