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About ThinkNEO

ThinkNEO provides a unified control plane for governing AI usage across cloud LLMs and physical robots. It enforces runtime policies, tracks spending, and maintains immutable audit logs for every AI request made by a company. The platform operates across multiple AI providers and applies policy checks in real time before any request reaches the model. Users can monitor latency, token usage, and costs per project or team while enforcing budget limits and security rules such as anti-prompt injection and PII detection. Detailed records include timestamps, user identities, model choices, and reasons for blocking requests. The system aims to prevent financial risk from uncontrolled AI adoption by offering department-level spend attribution and hard budget enforcement.

Key features

  • Runtime policy enforcement
  • Multi-provider AI support
  • Real-time spend tracking
  • Budget enforcement per project
  • Prompt injection detection
  • PII data protection
  • Immutable audit logging
  • Latency and cost monitoring

Use cases

  • Enforcing AI usage policies across development teams
  • Tracking and controlling AI-related spending by department
  • Maintaining compliance records for audits and regulators

Pros

  • Real-time policy enforcement across multiple AI providers
  • Centralized spend tracking and budget control per project or team
  • Immutable audit logs for compliance and accountability
  • Multi-provider neutrality with support for major LLMs
  • Runtime safety controls including prompt injection and PII detection

Cons

  • No explicit mention of a free tier or open API access
  • Focus appears limited to mid-sized companies rather than enterprises or individuals
  • No indication of mobile or offline functionality

Frequently asked questions about ThinkNEO

What does ThinkNEO do?

ThinkNEO provides a unified control plane for governing AI usage across cloud LLMs and physical robots, enforcing runtime policies, tracking spending, and maintaining immutable audit logs for every AI request made by a company.

Who is ThinkNEO designed for?

The platform is designed for mid-sized companies that need to govern AI adoption safely, scale AI usage with confidence, and maintain compliance without enterprise-level complexity.

How does ThinkNEO enforce policies in real time?

ThinkNEO applies policy checks before any AI request reaches the model, blocking requests that violate security rules such as anti-prompt injection or PII detection, and enforcing budget limits and department-level spend attribution.

What kind of audit records does ThinkNEO provide?

The platform maintains detailed records including timestamps, user identities, model choices, reasons for blocking requests, and immutable audit logs that can be used for compliance and accountability.

Can ThinkNEO work with multiple AI providers?

Yes, ThinkNEO operates across multiple AI providers, offering unified visibility, governance, and economic accountability in multi-provider environments.

How do I get started with ThinkNEO?

Users can sign in with Google or GitHub to access the ThinkNEO AI governance dashboard, where teams can manage runtime policy, budgets, and audit evidence across providers.

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