Skymel provides an Agent Development Kit (ADK) that allows developers to build intelligent AI agents using natural language configuration instead of complex orchestration code. Its multi-component brain architecture integrates LLMs, ML, and Causal models to prevent common failures like hallucinations and goal drift. This platform enables the deployment of self-healing, adaptive agents that learn from every execution with dynamic workflow generation.
Funding
Funding not disclosed
Founders
Product
Problem
AI inference often requires significant computational resources, leading to high cloud infrastructure costs and latency. Deploying AI models on edge devices can improve speed and reduce costs, but it poses challenges related to data privacy, limited device capabilities, and the need to support diverse hardware configurations.
Solution
Skymel provides NeuroSplit, an adaptive AI inference technology that dynamically distributes computational workloads between local devices and cloud servers in real-time. By analyzing available resources on the user's device, NeuroSplit intelligently decides whether to process data locally, in the cloud, or split the workload between both. This approach optimizes performance, reduces cloud infrastructure costs by leveraging unused processing power, and enhances data privacy by processing sensitive data locally whenever possible. NeuroSplit eliminates the need for pre-development commitments to local vs. cloud deployment, autonomously managing the deployment processes and adapting to changing resource availability.
Target Audience
The primary customers are AI developers and businesses seeking to optimize AI inference performance, reduce cloud infrastructure costs, and enhance data privacy.
Features
- Real-time resource assessment to analyze available compute on the user's device
- Intelligent processing decision-making to process locally, in the cloud, or split between both
- Model splitting in action to divide the AI model between the device and cloud
- Continuous adaptation to ensure optimal performance in real-time
- Low-code integration with existing AI infrastructure
- Support for NVIDIA A10, NVIDIA RTX A6000, NVIDIA A100, and NVIDIA H100 GPUs