Getomega
OmegaAI provides an AI-native operating layer that gives agents a workspace to run workflows against real business data while keeping humans in control. The platform includes OmegaDB, a plugin marketplace, isolated compute, and full observability so every decision is logged and reversible. Agents model business systems, find bottlenecks, and deploy workflows targeting KPIs like revenue, margin, and churn.
- Artificial Intelligence
- AI Agents
- Enterprise Software
- Software Only
Funding
Founders
Product
Problem
Traditional business software assumes humans are the primary operators, requiring dashboard navigation and manual workflows. As AI agents take on more operational tasks, companies lack a native environment where agents can safely access data, run processes, and be supervised without black-box decision-making.
Solution
OmegaAI builds the operating layer for AI-run companies, giving agents a native workspace to run workflows against real business data under human supervision. The platform includes OmegaDB, an AI database, a plugin marketplace, isolated compute, and full observability. Agents model the business as a system, identify bottlenecks, and deploy workflows that target top-level KPIs like revenue, margin, churn, and cycle time. Every agent decision is logged, traceable, and reversible, allowing humans to approve what matters and step in at any time.
Target Audience
OmegaAI targets enterprises and mid-market companies that are integrating AI agents into their core operations and need a supervised, auditable environment to run those agents against real business data.
Features
- OmegaDB, a purpose-built AI database for storing and querying business data in agent-native formats
- Plugin marketplace that lets agents install and run the tools they need for specific workflows
- Isolated compute environment for secure, sandboxed agent execution
- Full observability with decision logging, audit trails, and event traceability for every action
- Human-in-the-loop controls that allow approval, intervention, and reversal of agent decisions
- System modeling and bottleneck analysis to identify high-impact workflow deployments