ThinkNEOThinkNEO
NVIDIA Inception Member人工智能治理与成本控制平台

控制人工智能支出。 证明责任。安全扩展人工智能。

OpenAI 兼容端点。

多提供商支持。

设计上可进行审核。

ThinkNEO 是一个人工智能治理和成本控制平台，位于您的应用程序和人工智能提供商之间，为财务、安全和工程团队提供对人工智能使用的全面可见性和控制。

Book Demo Book a Demo
Explore PlatformView ArchitectureRead Docs
跟踪各个提供商的实际使用情况
执行预算和政策控制
生成审计就绪的治理日志
Illustrative governance dashboard
thinkneo.ai/dashboard
实时
总支出
$21.3k
请求数
88.6k
已拦截
746
合规率
61%
支出趋势较上月 -12%
实时请求
流式中
HD
Trusted By Real Companies

Enterprise Teams Already Governing AI With ThinkNEO

From Asia to South America, companies across industries trust ThinkNEO to control AI operations, enforce budgets, and maintain audit-ready governance.

SHK Import & Export

SHK Import & Export

Global Trade Infrastructure · Hong Kong

🇭🇰Hong Kong

Enterprise-grade AI governance powering cross-border trade operations, with intelligent multi-model routing, spend controls at the business-unit level, and audit-ready evidence trails across jurisdictions.

“ThinkNEO gives us full control over every AI call across our international trade operations — cost, compliance and continuity in one gateway.”

D

David Chen

Commercial Manager, Hong Kong

↓ 42% AI spend leakage100% audit traceability
Mission-critical environment live
STH Comeximport Export

STH Comeximport Export

Supply Chain Intelligence · Thailand

🇹🇭Thailand

Production AI control layer for logistics and supply chain workflows, delivering runtime policy enforcement, granular cost attribution, and region-aware governance across distributed global operations.

“Running AI workflows across supply chain operations in Southeast Asia requires real governance — not just dashboards. ThinkNEO enforces our policies in runtime, exactly when it matters.”

S

Supaporn Danthong

Director, Thailand

3 providers unifiedBudget caps in 12 regions
Global production tenant active
Sedina Hemp

Sedina Hemp

Hemp & Cannabis

🇺🇾Uruguay

AI governance for a highly regulated cannabis operation with data residency controls and runtime compliance enforcement.

“In healthcare and regulated agriculture, every decision must be traceable. ThinkNEO gives Sedina the governance layer we need — full auditability over every AI call, with the compliance rigor that regulators in Latin America demand.”

D

Dr. Martin Nuñez

Medical Advisor, Uruguay

Runtime compliance 99.8%Zero cross-border violations
Regulated production environment live
Production Validation

94 tests. Zero failures. Validated end-to-end.

Continuous validation across MCP tools, A2A protocol, security hardening, governance, and observability. Real tests. Real runtime. Validated on every release.

94 / 94

Tests passed across the full platform

0

Failures. Security, auth, and governance probes included

24

Agent skills exposed via A2A Agent Card

Validation domainTestsStatus
End-to-end platform6161 / 61 passed
Security hardening1818 / 18 passed
A2A protocol1515 / 15 passed

Last validated: April 24, 2026 · Continuous validation on every release

Request full reportView Agent CardExplore platform capabilities →View live system status →

人工智能提供商不可知论者 通过设计

领先人工智能提供商的生产就绪适配器：OpenAI • Anthropic • Google Gemini • xAI • Mistral • OpenRouter。

ANAnthropic
GGGoogle Gemini
XAxAI
MIMistral
OROpenRouter
OAOpenAI
DSDeepSeek
MLMeta Llama
COCohere
CLClaude
ANAnthropic
GGGoogle Gemini
XAxAI
MIMistral
OROpenRouter
OAOpenAI
DSDeepSeek
MLMeta Llama
COCohere
CLClaude
Switch providers without changing governance workflows
Normalize cost and telemetry across vendors
Keep one policy surface across providers

Provider ecosystem

ANAnthropic
GGGemini
XAxAI
MIMistral
OROpenRouter
OAOpenAI

ThinkNEO Governance Layer

ObservabilityGovernanceRoutingPromptOpsGuardrailsAI FinOps
routing · policy scope · guardrails
telemetry · attribution · budget enforcement

Runtime outcomes

routing · policy scope · guardrails
telemetry · attribution · budget enforcement
One control surface across changing vendors
一
治理层
Unified policy surface across providers.
零
供应商锁定
Provider routing stays independent from governance.
满的
执行
Controls execute inline on every request.
91%

"治理不应依赖于您的人工智能供应商。
它应该位于其上方。"

01ThinkNEO 通过安全的本机适配器进行连接。
02预算、归属、审计日志和政策都会根据每个请求执行。
03当提供商不断发展时，治理保持稳定。
它是如何运作的

它是如何运作的

以四个运营阶段将 ThinkNEO 部署为企业 AI 控制平面。

Unified Access Pattern

Introducing The Enterprise AI Control Plane Pattern

Your AI Apps

ThinkNEO Control Plane

Observability
Governance
Routing
PromptOps
Guardrails
AI FinOps

Multi-Provider Models

OPOpenAI
ANAnthropic
GOGoogle
XAxAI
MIMistral
OPOpenRouter
DEDeepSeek
COCohere
MEMeta
Custom Models
Fine-Tuned Models

AI provider agnostic by design — production-ready adapters

01

连接应用与供应商

保留现有应用流程与供应商端点，通过统一治理层路由。

02

应用策略感知路由

按模型、供应商、工作负载与风险级别路由，并保持一致控制边界。

03

执行运行时护栏

先以 monitor 模式运行输入/输出/上下文/工具控制，再逐步切换为 enforce。

04

以可观测性与 FinOps 运营

用追踪、证据流程和成本质量分析，在可问责框架下扩展。

Every request is evaluated in the runtime path for routing intent, policy scope, guardrail posture, telemetry capture, and budget impact.

Governance Outcomes

What Enterprises Measure With ThinkNEO

Enterprise teams evaluate governance by operational outcomes that can be reviewed and repeated across security, platform, and finance workflows.

Policy decisions tracked

Each request is evaluated against routing intent, policy scope, and runtime guardrail posture.

Runtime control signal

High-risk requests escalated or blocked

Risk-aware controls run before downstream model and tool execution to reduce unsafe behavior.

Safety and governance signal

Spend anomalies surfaced

Cross-provider telemetry helps finance and platform teams investigate cost drift early.

AI FinOps signal

Investigation timelines reduced

Unified evidence trails shorten handoffs between engineering, security, and compliance.

Operational evidence signal

Representative outcomes shown on this page. Customer-specific evidence is shared during enterprise review.

Enterprise Buyers

Built For Teams Governing AI In Production

ThinkNEO is designed for organizations that need runtime control, accountable operations, and review-ready governance signals across technical and executive stakeholders.

CTO / Head of AI

Needs one control layer across providers without rewriting product stacks.

Unifies governance, runtime controls, and provider strategy in one operational model.

Architecture and rollout confidence

Security & Compliance

Needs traceable policy enforcement and audit-ready evidence under active workloads.

Adds runtime guardrails, evidence trails, and security review workflows.

Reviewable governance posture

Platform Engineering

Needs stable provider routing and observability without fragmented tooling.

Standardizes control points for routing, telemetry, and runtime decisions.

Operational reliability at scale

Finance / AI FinOps

Needs cost attribution and budget discipline across teams and providers.

Connects spend visibility with policy controls for accountable AI economics.

Clear spend accountability

Customer references and verified outcomes are shared as part of enterprise evaluation workflows.

人工智能金融风险

没有治理的人工智能采用是财务风险

随着组织规模扩大人工智能的使用，成本变得不可预测，归因变得不明确，合规性变得被动。多提供商环境会增加这种风险。

核心缺口不只在模型质量，而在于缺少覆盖运行时安全、可观测性、治理与经济控制的控制平面纪律。

运行时安全深度可观测性治理工作流经济问责
Illustrative uncontrolled environment

成本变得不可预测

Waste exposure trend

团队创建不受控制的 API 密钥

Unmanaged API key growth

归属变得不明确

Attribution blind spots

财务失去可见性

Finance visibility gaps
没有治理
  • ✕ 没有实时支出归因
  • ✕ 没有预算执行
  • ✕ 无成本异常检测
  • ✕ 没有提供商比较
  • ✕ 没有问责线索
通过 ThinkNEO 治理
  • ✓ 部门级归因
  • ✓ 硬性预算执行
  • ✓ 模型和策略控制
  • ✓ 统一的提供商可见性
  • ✓ 不可变的审计就绪记录
Strategic Differentiation

Beyond Proxy, Beyond Gateway, Beyond Point Tooling

ThinkNEO is not a single-function layer. It is the enterprise operating system for AI runtime control, policy accountability, and economic governance in production.

Control Plane, Not Just Routing

One policy surface across providers, models, tools, and workflows.

Runtime Governance

Guardrails, enforcement decisions, and operational response in live traffic.

Economic Accountability

AI FinOps with attribution, budget controls, and spend governance by context.

Enterprise Evidence

Audit-ready records for security, compliance, and executive decision workflows.

平台能力模型

ThinkNEO 是企业级 AI 控制平面

ThinkNEO 不止于网关路由。它在模型、供应商、工具、工作流与部署环境之上提供受治理访问、运行时安全、深度可观测、合规就绪、智能体控制与 AI FinOps 优化。

定位清晰度

不仅仅是代理、网关或成本面板

ThinkNEO 在保持网关效率的同时，增加企业 AI 项目需要的运行时控制、运营证据与治理工作流。

面向企业 AI 的治理型控制平面

策略与经济控制在执行前统一生效，同时为工程、财务、安全与合规团队保留可追踪证据。

多提供商使用标准化

跨 OpenAI、Anthropic、Google、xAI、Mistral、OpenRouter 和 OpenAI 兼容端点的统一跟踪。

特定于提供商的适配器层

处理身份验证怪异、速率限制、元数据标准化、令牌记账差异和错误映射。

部门级成本归属

按团队、项目、工作区和成本中心标记和分配使用情况。

预算执行

在支出升级之前应用硬上限、软警报和自动阻止规则。

模型策略控制

允许或拒绝每个工作区、团队或环境的特定模型。

实时监控

财务和运营团队的实时仪表板可立即查看使用情况。

审计追踪

包含时间戳、模型、成本和用户元数据的不可变请求日志。

OpenAI 兼容网关

直接替换基本 URL，无需重写提供商 SDK。

速率控制和护栏

按密钥、团队和环境应用使用护栏，以防止超限事件。

工作空间治理

具有可配置策略和预算边界的租户感知隔离。

深度模块

深度可观测性运行时护栏治理与合规
查看完整平台架构
安全与合规性

专为企业治理而打造

无数据暴露治理，专为企业安全审核而设计。

租户隔离

具有严格工作空间边界的独立租户架构。

基于角色的访问控制 (RBAC)

按角色和工作区级别权限控制访问。

不可变的使用日志

用于审计和调查的不可变的每个请求事件历史记录。

加密密钥存储

安全处理和存储提供商 API 凭证。

可导出的审计报告

结构化的治理记录已准备好用于财务和合规工作流程。

SIEM 就绪日志

用于企业监控和检测系统的流式事件数据。

SSO 就绪架构

为企业身份和访问集成准备的架构。

SOC 2 对齐

SOC 2 Type II 调整正在进行中。

运行时护栏

对输入、输出、上下文与工具使用进行控制，支持 monitor 与 enforce 两种模式。

上下文数据安全

针对合同、源代码、定价与内部知识路径等敏感上下文进行防护。

AI 治理工作流

提供风险评审、证据采集与策略审批问责的运营流程。

智能体动作控制

以边界、审批与可追踪动作记录实现受治理的智能体执行。

安全态势

ThinkNEO 不训练模型。每个租户都可以配置治理元数据的保留。

可根据要求提供安全文档。
Enterprise Trust

Security, Compliance, And Operational Assurance

Trust signals should be explicit, verifiable, and easy to review by security and procurement teams. ThinkNEO centralizes enterprise-ready controls in one governance layer.

View Trust CenterReview Security Architecture
Available nowAvailable now
  • Tenant isolation and workspace governance boundaries
  • Role-based access control and policy-scoped permissions
  • Encrypted key handling and controlled provider credential flow
  • Audit-ready logs with SIEM-oriented export pathways
Enterprise review pathIn progress / review
  • Security review package available on request
  • Compliance roadmap with evidence workflows
  • SSO-ready and deployment documentation (SaaS, private, hybrid where applicable)
Example governance scenario

治理减少浪费

人工智能浪费通常来自不受限制的模型访问、重复实验、路由效率低下和未跟踪的内部使用。

Lower waste exposure

Runtime policies reduce unnecessary model usage and uncontrolled retries.

Better attribution coverage

Spend, policy events, and request metadata remain traceable across teams and providers.

Enforced budget discipline

Budget controls operate in live request paths, not only in retrospective reporting.

Without governance

  • ✕Fragmented spend attribution
  • ✕Reactive cost controls
  • ✕Limited visibility into policy impact

With ThinkNEO governance

  • ✓Department-level attribution
  • ✓Budget enforcement at runtime
  • ✓Unified policy and economic visibility

Representative workflow: Illustrative scenario. Actual outcomes depend on policy scope, model mix, and operational baselines.

AI FinOps maturity beyond budget blocking

  • Forecasted cost trajectories per workspace, model family, and use case.
  • Chargeback and showback support for departmental economic accountability.
  • Waste reduction workflows that isolate low-value spend patterns.
  • Cost-quality routing strategies that balance reliability, latency, and unit economics.
Plug & Govern

Integrate ThinkNEO In Minutes

Route enterprise AI traffic through a governed control plane without rewriting your stack. Keep your current SDKs and add policy, observability, and FinOps controls at runtime.Start with your existing OpenAI SDK. Switch the base URL. Keep your app logic.

OpenAI-compatible quickstart

https://gateway.your-domain.com/v1
import OpenAI from "openai";

const client = new OpenAI({
  apiKey: process.env.THINKNEO_KEY,
  baseURL: "https://gateway.your-domain.com/v1",
});

const response = await client.chat.completions.create({
  model: "gpt-4o",
  messages: [{ role: "user", content: "Summarize policy drift risk by provider." }],
});

console.log(response.choices[0]?.message?.content);
View API ReferenceBook Technical Walkthrough Quick Start
View ArchitectureDeveloper PortalQuick StartSecurity & Trust
Live Demo

See the real dashboard. Live data. No signup.

This is the actual ThinkNEO platform running with demo data — real governance data from a production tenant. Navigate freely. Read-only access. Everything you see is real.

thinkneo.ai/dashboard/overview

Read-only demo. Data from Acme Corporation demo tenant.

为企业团队构建

按企业职能划分的 Control Plane 结果

查看财务、技术、安全与工程团队如何通过同一控制平面运营可治理 AI。

让 AI 支出可预测

在发票升级之前，获得跨所有 AI 供应商的可见性、归因与强制执行能力。

立即开始
关键结果
  • 减少浪费与意外支出
  • 预算可强制执行（阻断而非仅告警）
  • 按部门进行成本归因
  • 可导出且审计就绪的报告（PDF、CSV、XLSX）
  • 按成本中心进行 chargeback/showback
  • 实时掌握 AI 成本可见性
人工智能的使用和成本治理

人工智能使用和成本治理——集中化

ThinkNEO 位于您的应用程序和 AI 提供商之间，可在支出变成风险之前实施治理。

Governance

Policy boundaries, role controls, and accountable workflows.

Runtime Control

Guardrails and action controls in live request paths.

Observability

Cross-provider traces, auditability, and operational evidence.

AI FinOps

Attribution, budget discipline, and spend governance.

多提供商使用标准化

跨 OpenAI、Anthropic、Google、xAI、Mistral、OpenRouter 和 OpenAI 兼容端点的统一跟踪。

特定于提供商的适配器层

处理身份验证怪异、速率限制、元数据标准化、令牌记账差异和错误映射。

部门级成本归属

按团队、项目、工作区和成本中心标记和分配使用情况。

预算执行

在支出升级之前应用硬上限、软警报和自动阻止规则。

模型策略控制

允许或拒绝每个工作区、团队或环境的特定模型。

实时监控

财务和运营团队的实时仪表板可立即查看使用情况。

审计追踪

包含时间戳、模型、成本和用户元数据的不可变请求日志。

OpenAI 兼容网关

直接替换基本 URL，无需重写提供商 SDK。

速率控制和护栏

按密钥、团队和环境应用使用护栏，以防止超限事件。

工作空间治理

具有可配置策略和预算边界的租户感知隔离。

ThinkNEO 治理层。 路由请求、跟踪实际使用情况、执行预算和策略、标准化提供商元数据并生成审计就绪日志。 无需更改提供商帐户。

White Paper 能力覆盖

深度可观测性运行时护栏上下文数据安全监管治理（AI GRC）智能体生命周期治理受治理的连接器与动作PromptOps 与 EvalOps身份与部署控制AI FinOps 优化
ThinkNEO 在您堆栈中的位置

您的应用程序 -> ThinkNEO 治理层 -> 人工智能提供商

1

路由请求

2

跟踪实际使用情况

3

执行预算和政策

ThinkNEO 充当 OpenAI 兼容网关，规范提供者元数据并生成审计就绪日志。

同一层以统一策略面治理模型、供应商、工具、智能体工作流与部署边界。

您的 AI 提供商帐户不会发生任何变化。没有供应商锁定。完全可见性。

常见问题解答

开始之前您需要了解的一切。

企业级 AI 控制平面

以运行时控制落地可治理 AI

保留现有供应商栈与应用。将 ThinkNEO 作为控制平面接入，获得运行时安全、可观测性、合规就绪与 AI FinOps。

面向需要在模型、工具、工作流与部署边界上实现可问责 AI 运营的企业团队。

ThinkNEO certifications
Book a Demo Book Demo
Security review available on requestDeveloper docs available nowTrust center available now