Pricing
Tailored pricing for governed AI agent programs
Every AI agent program has different workflows, risk boundaries, infrastructure constraints, usage patterns, and governance requirements. Omnithium pricing is tailored around what you need to deploy safely: number of workspaces, agent volume, integrations, deployment model, observability depth, support needs, and compliance requirements.
We do not force every customer into the same public package. Some teams need a small governed pilot. Others need private cloud, on-prem deployment, SSO, advanced audit trails, custom integrations, or high-volume production runtime. We work with each customer to design the right commercial and technical plan for their environment.
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What shapes your pricing
Commercial terms are based on the operating model your agents need, not a generic tier chart.
Program scope
Workspaces, agent volume, expected concurrency, rollout phases, and the mix of internal and customer-facing workflows.
Integration surface
Tool catalog needs, custom connectors, OAuth configuration, bring-your-own credentials, and access to business systems.
Deployment model
SaaS, private cloud, on-prem, regional data boundaries, network constraints, and environment isolation.
Governance depth
Policies, approval gates, audit trails, redaction, data access boundaries, and compliance evidence.
Observability and spend controls
Trace depth, usage visibility, budget controls, alerts, and cost attribution by agent, model, workspace, or user.
Support and procurement
Architecture support, onboarding, security review, procurement evidence, success coverage, and operating requirements.
Pricing FAQ
Why does Omnithium use tailored pricing?
Governed AI agent programs vary widely. A lightweight internal rollout, a regulated on-prem deployment, and a high-volume customer-facing workflow have different infrastructure, governance, support, and procurement needs.
Do you publish fixed packages?
No. Public packages would hide the operational questions that matter most: deployment model, governance depth, observability, integrations, support, and risk boundaries.
Can we start with a focused pilot?
Yes. We can shape a contained evaluation around a real workflow, clear success criteria, and the controls needed to prove production readiness.
Can pricing support private cloud or on-prem deployment?
Yes. Deployment model is part of the pricing conversation, including regional data requirements, network constraints, and private infrastructure support.
What should we prepare before a pricing conversation?
Bring the workflows you want to automate, the systems agents need to access, governance or compliance constraints, expected rollout timeline, and the stakeholders involved in procurement.