Build AI agents without data scientists. Custom Small Language Models (SLM) for accuracy, any LLM for flexibility. Zero vendor lock-in.
Cut Through the AI Chaos!
Commodity LLMs are too slow, costly, and risky for real enterprise agents. Loop.AI cuts through the hype with an AI Control Center that gives you full sovereignty over your AI.
ANY ML or LLM
Train custom Small Language Models on your proprietary data with Loop Q, or leverage any commercial or open-source LLM. Combine models within the same AI agent, benchmark performance vs. cost in real-time, and hot-swap instantly as better options emerge.
ANY LEGACY SYSTEM
Your AI agents learn from human peers using historical data, seamlessly executing both simple and complex tasks within your existing enterprise systems—whether through APIs or the same interfaces used by your workforce.
ANY INFRASTRUCTURE
Run SLM training and low-latency inference on-premises or at the edge using NVIDIA GPUs. Deploy across private clouds, hybrid environments, or any infrastructure—keeping your data within your firewall while minimizing costs.
LOW-CODE TOOLS FOR TEAMS
No-code and low-code visual tools built for teams, featuring granular permissions for development, testing, and deployment. Leverage a template library of AI agent blocks to quickly prototype, test, deploy, and monitor key metrics for each AI Agent at scale.
Your data. Your models. Your agents. Your control.
The AI Control Center in 2 minutes
The Post-Commodity Advantage
Others resell generic models. Since 2015 Loop delivers autonomous AI agents already performing real jobs inside Fortune 100 org-charts. Train custom SLMs on your data—no ML expertise required.
Proven at Scale
Over the past decade, Loop AI agents have processed millions of tasks for leading organizations in Automotive, Telecommunications, Banking, Insurance, Media, and Healthcare. Custom SLMs deliver the accuracy enterprises need on-premises, at a cost-effective price compared with major LLM providers.
Two Integrated Platforms.
Complete Sovereignty.
Train custom SLMs on your data. Run inference on-prem or at the edge. No data scientists needed.
Manage the full agent lifecycle visually. Integrate any LLM as fallback. Zero lock-in.
