O-mega Enterprise

Deploy coordinated AI agent teams across your organization. Lead Agents delegate to specialized workers. Multiple agents execute in parallel across browsers, code environments, and 100+ tools. Persistent identities with their own accounts, profiles, and credentials. Enterprise-grade orchestration for organizations scaling AI operations.

Beyond Single Agents

Enterprise is not just more credits or more agents. It's coordinated AI workforces: Lead Agents that delegate to specialized teams, parallel execution across multiple environments, and persistent agent identities with their own accounts and credentials. Plus team management, dedicated support, and professional services to deploy at scale.

Who Enterprise Is For

Organizations deploying AI workers across multiple teams and workflows.

Founders

You're building fast and need leverage. AI workers handle the operational work that doesn't need your judgment, so you can focus on what does.

Operators

You run the day-to-day. AI workers execute recurring workflows, maintain systems, and scale operations without scaling headcount.

Business Leaders

You need results, not experiments. Enterprise gives you dedicated support, guaranteed SLAs, and AI workers that integrate with your existing stack.

What's Different About Enterprise

Everything you need to deploy AI workers at scale with proper governance and support.

Team Management

Invite team members, assign roles, and manage permissions. Centralized billing with a single invoice for your organization.

Advanced Agent Analytics

Track agent performance, task completion rates, and orchestration efficiency. Detailed reporting on delegation patterns, execution time, and autonomous decision-making.

Custom Model Configuration

Bring your own models, run local models, or use ours. Configure which LLMs handle which task types. Full control over the intelligence layer powering your agents.

Custom Dashboards

We configure dashboards tailored to exactly what you need to see. Real-time visibility into agent operations, configured around your specific workflows and KPIs.

Advanced Security Configuration

IP allowlisting, session controls, audit logs, and authentication policies to match your requirements.

Agent Success Manager

A dedicated manager for your AI workforce. Regular check-ins, direct escalation paths, and priority support with guaranteed SLAs.

Professional Services

Implementation assistance, custom integrations with your internal systems, and hands-on workflow configuration.

Volume Pricing

Custom credit allocation with better per-credit rates. Flexible billing terms and custom contract terms including DPA.

Role-Based Agent Permissions

RBAC for your AI workforce. Define which team members can access which agents, what actions they can take, and what data they can see.

How Agents Work at Scale

O-mega's multi-agent orchestration engine enables true parallel execution. One request can coordinate multiple agents across browsers, code environments, and tools simultaneously.

Advanced Agent Company Configuration

Configure Agent Companies with custom hierarchies, delegation rules, and coordination patterns. Define which agents can activate others and how work flows between teams.

Parallel Execution

Complex tasks decompose automatically. Multiple agents work simultaneously across browser sessions, code execution environments, and internal tools. Hours of work happen in minutes.

Intelligent Result Synthesis

Results from parallel agents automatically aggregate into coherent deliverables. Gap detection identifies missing information and triggers additional work. Final outputs synthesize across all sub-agent contributions.

Hierarchical Orchestration

Work flows through a structured hierarchy: Lead Agent plans, Main Agents execute, Sub-Agents handle atomic tasks. Results aggregate back up for final synthesis.

How Enterprise Works

From discovery to deployment in 20-40 days.

1

Discovery

We discuss your use cases, identify the right workflows to automate, and define what success looks like.

2

Proof of Value

We deploy a virtual employee with one goal. The agent has its own accounts, its own tools, its own workflows—all configured around your enterprise's context. You see exactly how it works.

3

Validation

Your team works alongside the virtual employee. We iterate on the goal and workflow based on what you learn.

4

Scale

Once value is proven, we expand to additional goals and virtual employees across your organization.

Ready to discuss Enterprise?

Let's talk about your use case, team structure, and how O-mega can integrate with your organization.

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Want to learn more about the platform?

See how O-mega AI workers execute real work: browsing, coding, emailing, and coordinating teams.

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Enterprise FAQ

What's the minimum commitment for Enterprise?

Enterprise plans start from $25,000 per year. Credit allocation, team seats, and features are tailored to your organization's needs.

Can we start with a proof of value?

Yes. We deploy a virtual employee with one goal. The agent has its own accounts, its own tools, its own workflows—all configured around your enterprise's context. You see exactly how it works before any commitment.

How many team members can we add?

Team seat allocation is customized based on your organization's needs. You can manage permissions centrally and adjust seat count as your team grows.

How do credits work on Enterprise?

Credit allocation is customized based on your expected usage. You can enable overage billing at negotiated per-credit rates, or set hard limits to control costs.

Can you build custom integrations?

Yes. We can connect O-mega to your internal systems, databases, and proprietary workflows. Custom integrations can be included in your contract or scoped as separate work.

What's included in the Data Processing Agreement?

Our DPA covers GDPR compliance, data handling terms, subprocessor lists, breach notification procedures, and audit rights. We can accommodate custom legal terms as needed.

How does onboarding work?

Your dedicated Agent Success Manager guides the entire process. We start with discovery, deploy a proof of value, validate with your team, then scale. Most organizations are fully operational within 20-40 days.