Run powerful AI agents with small open-source models—locally, in the cloud, or on edge devices. Reduce costs significantly while maintaining full control of your data and infrastructure.
Our graphical user interface makes it easy to combine classical logic with generative AI building blocks
Everything you need to build, deploy, and manage intelligent AI agents
Deploy efficient AI with custom-quantized small models. Run locally or in the cloud without expensive API costs or vendor lock-in.
Run Moses AI agents on Android devices, embedded systems, and edge infrastructure. Bring intelligence closer to your data for faster, private AI.
Native Model Context Protocol integration for seamless tool connectivity. Connect your agents to databases, APIs, and external systems effortlessly.
Combine rule-based logic with generative AI for reliable, auditable decisions. Build agents that blend deterministic workflows with flexible AI reasoning.
Choose the right model for each task. Use small models for speed and cost efficiency, or larger models when complexity demands it. Full control over your AI stack.
Drag-and-drop interface for building complex AI workflows. No code required to combine logic, AI models, and integrations.
Choose the deployment model that works best for your use case
Keep data in-house for compliance and security
Scale effortlessly with your infrastructure of choice
Run on Android, IoT, and embedded systems
Mix local and cloud models for optimal cost/performance
No vendor lock-in. No per-token pricing. Full control.
Deploy small models locally to reduce API costs by an order of magnitude. Pay for infrastructure, not per-token pricing.
Pay per token, scales with usage
Fixed infrastructure costs, unlimited usage
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