From Serverless to Self-Hosted, from Models to Agents, from Knowledge to Action. AGIOne unifies GPU orchestration, model deployment, knowledge management, and agent creation in One single platform — modernize your infrastructure today, scale intelligence tomorrow, and future-proof your enterprise for the AI era
IT-Centric
Siloed compute resources (servers, VMs, cloud contracts)
Traditional IT optimized for apps & databases, not AI
Fragmented AI stack: infra, models, data, apps all separate
High cost, low utilization, slow experimentation
AI-Centric
Dynamic GPU/AI clusters across cloud and on-prem
Models served as easily as APIs
Enterprise data unified into AI-ready knowledge bases
Agents that automate workflows and scale enterprise intelligence
Compute Orchestration: Convert idle GPU/IT resources into an AI compute fabric
Model Deployment (MaaS): Treat AI models as first-class services, just like databases or APIs
Knowledge Base: Transform enterprise data into AI fuel, governed and secure
Agent Builder: Move from apps to autonomous digital coworkers that extend business capabilities
Future-Proof Infra: AI-ready architecture that evolves from today’s IT backbone
Unified Control: One platform instead of fragmented point tools
Faster Innovation: Enable developers to go from infrastructure → models → agents in days, not months
Reduced Risk: Avoid lock-in, maintain governance, and ensure scalability
AGIOne: One Console for Two Modes
IT supports apps; AGIOne enables autonomous agents that act like digital coworkers
Agents can reason, act, and interact with enterprise systems, powered by models and knowledge bases
Result: Enterprises move from static apps to adaptive, task-oriented AI agents, unlocking automation and innovation at scale
IT traditionally manages data in warehouses and lakes; AGIOne transforms it into an AI-ready, governed knowledge hub
Always up to date, secure, and RAG-ready for enterprise-grade grounding
Result: Enterprise data becomes living intelligence that fuels AI agents and decision automation
Instead of siloed ML projects, AGIOne makes AI models deployable and consumable like enterprise APIs
Routes across open-source, proprietary, and custom models seamlessly
Result: The enterprise shifts from building one-off pilots to operationalizing AI at scale, with models as reusable building blocks for every team
Traditional IT treats compute as static servers or VMs; AGIOne turns it into a dynamic, elastic GPU fabric
Automatically allocates, scales, and optimizes workloads across on-prem and multi-cloud
Result: IT infrastructure evolves into a high-performance AI backbone with maximum utilization and minimal waste
