Enterprise AI infrastructure and governance provider
Lower total AI cost. Build the AI infrastructure for an AI-native enterprise.
Connect global and local models, govern identity, cost, and data security, and let AI truly enter business workflows through AgentOS.
Global models
Local models
From fragmented usage to governed enterprise AI infrastructure
Unify access
Connect global and local models through a governed catalog and individual identities.
Govern resources
Manage access, budgets, quotas, and model routing in one operating layer.
Audit usage
Apply detection, masking, blocking, alerting, and traceability controls.
Run Agents
Connect knowledge, tools, and systems on AgentOS with approvals and exception handling.
Enterprise capabilities for AI at scale
Global model orchestration
Aggregate leading and specialized models with policy-based routing for stability and quality.
Cost and value governance
Multi-dimensional cost analysis and budget control, with every spend attributable.
Data security and audit
Sensitive detection, policy control, and end-to-end audit for enterprise requirements.
AgentOS platform
Low-code orchestration and tooling to build, ship, and continuously improve enterprise Agents.
AgentOS
Bring Agents into real enterprise workflows
Connect enterprise knowledge, data, tools, and systems while governing Agent identity, access, model calls, cost, human approvals, and execution history.
- Independent identity and ownership for every Agent
- Human approval for critical actions
- Execution records for model and tool calls
- Cost and exceptions in one governance view
Deployment
Balance control, launch speed, and workload placement
On-premises
Run inside enterprise infrastructure. The enterprise owns operations and data while AIPay provides deployment and contracted support.
View deploymentAIPay managed
AIPay operates the environment and upgrades while enterprise administrators govern users, policy, budgets, and reporting.
View deploymentHybrid
Keep sensitive workloads and local models inside while connecting suitable global capabilities by policy.
View deploymentStandard services
Start with a clearly bounded service
Standard services are priced in USD and support USDT on TRON. Deployment and custom Agent work begin with scope and quotation.
Enterprise AI Cost Diagnostic
Establish a practical cost baseline before changing tools, contracts, or architecture.
$25
2 business days
View delivery and paymentTeam AI Pilot Launch
Launch a focused 14-day pilot with clear operating rules and a measurable review.
$110
14 days, up to 20 participants
View delivery and paymentTraining and Support Pack
Add structured enablement, configuration guidance, and review sessions to an active AI initiative.
$220
4 remote sessions within 30 days
View delivery and paymentStart with cost
Understand total AI cost before changing the operating model
The calculator establishes a discussion baseline and does not promise savings or ROI.
Enterprise AI cost review
Build a first monthly cost baseline from current inputs
Current monthly cost structure
$1,610
$623
Estimated from potential idle subscriptions and administration time. This is not a savings guarantee.
From paying for AI to making AI pay off
Use one architecture conversation to identify the highest-value next step
Bring your team size, current models and tools, and primary cost or risk concern. We will use them to frame an appropriate governance and deployment path.