Enterprise Layer
Manage organizations, teams, roles, budget policies, audit trails, and security controls before AI usage spreads.
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IPDATA helps companies manage organizations, teams, agents, prompts, budgets, usage, audit, model access, and infrastructure from one governed AI operating system.
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Platform Capabilities
0
Team Workspace
0/7
Usage Visibility
99.9%
Access Stability
Enterprise workspace
IPDATA AI Operations
Organization overview
AI spend, access, teams, and infrastructure
Active teams
12
Managed keys
48
Monthly budget
$8.4k
Usage by department
Last 30 days
Governance
Live AI operations
Teams, agents, and spendPlatform architecture
Users work in the enterprise and AI OS layers. Unified APIs, model routing, LiteLLM, Vercel Gateway, and proxy services stay underneath as access and infrastructure.
Manage organizations, teams, roles, budget policies, audit trails, and security controls before AI usage spreads.
Bring agents, prompts, knowledge-base readiness, and workflows into one governed operating surface for teams.
Expose unified APIs, model routing, failover policy, rate limits, and token controls as platform services.
Connect OpenAI, Claude, Gemini, DeepSeek, Grok, LiteLLM, Vercel Gateway, and optional proxy/network services.
Understand usage by team, application, model, key, and time period before costs or failures become surprises.
Set limits for teams and projects so AI adoption can grow without losing financial control.
Make agents first-class business objects with model access, prompts, tools, budget ownership, and execution history.
Keep proxy and network features underneath the platform as connectivity for agents, automation, and global access.
One platform
Replace disconnected keys, dashboards, invoices, and experiments with a shared operating surface for the entire organization.
Enterprise workspace
IPDATA AI Operations
Organization overview
AI spend, access, teams, and infrastructure
Active teams
12
Managed keys
48
Monthly budget
$8.4k
Usage by department
Last 30 days
Governance
Live AI operations
Teams, agents, and spendBuilt for every team
Each team gets the AI access it needs while the company keeps governance, budgets, and auditability centralized.
Ship AI features with managed API keys, model access, logs, and environment-level controls.
Run content workflows, campaign research, and brand-safe generation inside approved AI workspaces.
Automate repetitive workflows while tracking usage, ownership, costs, and execution quality.
Deploy support copilots and response workflows with audit trails, budgets, and knowledge access controls.
Manage access, keys, quotas, departments, infrastructure, and compliance requirements from one console.
Create internal AI learning spaces with usage guardrails, shared prompts, and team-level reporting.
Enterprise governance
IPDATA gives administrators the guardrails to manage AI across departments, applications, and vendors without slowing teams down.
AI Access Layer
Supported models matter, but teams should manage agents, prompts, budgets, usage, and auditability. Provider and gateway details belong behind the platform.
General reasoning, support copilots, content workflows, and application features.
Long-context analysis, careful writing, coding assistance, and complex instruction following.
Cost-sensitive automation, Chinese business workflows, data processing, and high-volume tasks.
Admins can enable, disable, price, and govern model access as the organization grows.
Enterprise infrastructure
IPDATA proxy infrastructure powers AI agents, browser automation, cross-border workflows, and enterprise connectivity. It sits underneath the platform as optional infrastructure, not as the product story.
Enterprise use cases
IPDATA is designed for organizations that want to make AI useful across business functions while keeping access, cost, and infrastructure under control.
Knowledge center
The homepage now introduces the editorial direction for future education and search demand around enterprise AI operations.
Pricing
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FAQ
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Bring organizations, teams, agents, prompts, budgets, usage, audit, model access, and infrastructure into one enterprise AI operating system.