NeuroBlock

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.

NeuroNest is an agent-first integrated development environment built for AI engineers, indie hackers, and engineering teams who want to move faster without sacrificing control or privacy. At its core, NeuroNest orchestrates 110 specialized AI agents organized across 13 collaborative teams — each responsible for a different layer of the software development lifecycle, from planning and architecture to code generation, testing, and deployment. Rather than a single AI assistant answering one prompt at a time, NeuroNest runs a structured multi-agent workflow that mirrors how real engineering teams operate. 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.