Enterprise AI Usage & Cost Governance
ThinkNEO is an AI Governance & Cost Control Platform that sits between your applications and AI providers -- giving finance, security, and engineering teams full visibility and control over AI usage.
Runs in your environment. Your data never leaves it.
On Enterprise, ThinkNEO deploys where you choose — on-premises in your own infrastructure, or as a dedicated managed instance. Either way, the content of your requests — every prompt and response — stays entirely within your environment. It never reaches ThinkNEO. We operate the control plane; we never see your business data.
The only thing that leaves your environment is operational telemetry — usage counts for billing and monitoring. Never content. Your prompts, your responses, your data: yours alone.
Enforcement that can't be bypassed.
Most AI governance stops at the proxy — bypass the proxy, bypass the rules. That's fine for app code you control. But for autonomous agents, regulated workloads, or physical robots, you need enforcement that a process can't route around. ThinkNEO Enterprise installs at the kernel level, in your own infrastructure — enforcement that can't be bypassed, because it's not a layer you choose to pass through.
Responsibility, not capability.
The capability is identical on both sides — the same ThinkShield engine, the same real enforcement, whether a developer tests it free or a bank runs it in production. What Enterprise adds isn't a better product. It's accountability: a dedicated environment, an SLA with penalties, named support, monitoring, and a regulator-exportable, tamper-evident audit ledger. You already trust the engine. Enterprise is who answers if something goes wrong — and the guarantee that your data never left your walls to begin with.
AI Usage & Cost Governance -- Centralized
ThinkNEO sits between your applications and AI providers to enforce governance before spend becomes risk.
- Multi-Provider Usage Normalization: Unified tracking across OpenAI, Anthropic, Google, xAI, Mistral, OpenRouter, and OpenAI-compatible endpoints.
- Provider-Specific Adapter Layer: Handles authentication quirks, rate limits, metadata normalization, token accounting differences, and error mapping.
- Department-Level Cost Attribution: Tag and assign usage by team, project, workspace, and cost center.
- Budget Enforcement: Apply hard caps, soft alerts, and auto-block rules before spend escalates.
- Audit Trails: Immutable request logs with timestamp, model, cost, and user metadata.
Who It's For
Finance, security, engineering, and platform teams align on one governance layer.
- For CTO
- For CFO / Finance
- For Security
- For Engineering
Built for Enterprise Governance
Governance without data exposure, designed for enterprise security review.
- Tenant Isolation: Isolated tenant architecture with strict workspace boundaries.
- Role-Based Access Control (RBAC): Controlled access by role and workspace-level permissions.
- Immutable Usage Logs: Immutable per-request event history for audits and investigations.
- Encrypted Key Storage: Secure handling and storage of provider API credentials.
- SSO-Ready Architecture: Architecture prepared for enterprise identity and access integrations.
Transparent Governance Pricing
Flexible plans for teams of every size. Custom pricing aligned with your governance needs.
- Starter: For teams validating governance.
- Growth: For growing teams with full control.
- Enterprise: For regulated environments.
- All plans include multi-provider support, budget enforcement, audit logs, and cost attribution. Talk to sales for a personalized quote.
AI Without Governance Is Financial Risk.
Add visibility. Add accountability. Add control.