Audience
Infrastructure teams needing a solution to build and deploy cost-effective, low-latency AI applications
About NeuroSplit
NeuroSplit is a patent-pending adaptive-inferencing technology that dynamically “slices” a model’s neural network connections in real time to create two synchronized sub-models, executing initial layers on the end user’s device and offloading the remainder to cloud GPUs, thereby harnessing idle local compute and reducing server costs by up to 60% without sacrificing performance or accuracy. Integrated into Skymel’s Orchestrator Agent platform, NeuroSplit routes each inference request across devices and clouds based on specified latency, cost, or resource constraints, automatically applying fallback logic and intent-driven model selection to maintain reliability under varying network conditions. Its decentralized architecture ensures end-to-end encryption, role-based access controls, and isolated execution contexts, while real-time analytics dashboards provide insights into cost, throughput, and latency metrics.
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NeuroNest is built local-first. All inference runs on your machine using a ZERA optimizer that dynamically selects the most efficient local model for each task — keeping your code private, reducing latency, and eliminating per-token cloud costs. For teams that prefer hybrid setups, cloud model routing is also supported.
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Pricing
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Company Information
Skymel
United States
skymel.com/neurosplit.html
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