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ThinkNEO AI

ThinkNEO AI is an enterprise-grade AI governance and operations platform that gives companies a single control plane to manage multi-vendor models and services, enforce cost controls, security policies, and compliance audit trails—so you can scale AI safely and efficiently.
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enterprise AI governanceAI control planeAI cost managementAI security guardrailsmulti-model managementAI compliance audit platformAI FinOps solutionenterprise AI operations

Features of ThinkNEO AI

One governance layer for every AI model and provider—plug in OpenAI, Anthropic, Bedrock, Azure, and more.
Runtime policy engine with input/output guardrails to block, redact, or route traffic in real time.
Immutable, evidence-grade audit logs capture full request telemetry for Security, Finance, and Compliance teams.
AI FinOps: cross-vendor usage metering, cost attribution by tenant/project, and budget hard-caps or soft alerts.
Agent lifecycle governance—approve tools, set boundaries, and retain an auditable context for every action.
Enterprise identity: SSO, RBAC, tenant isolation, and encrypted secrets vault; zero customer data is used for training.
Live dashboard for spend, token volume, blocked requests, latency, and provider health.
PromptOps pipeline—version, test, and promote prompts with approval workflows and automated evals.
OpenAI-compatible gateway: swap the base URL and keep existing code—no rewrites required.
Docker & Docker-Compose self-host or managed SaaS—your keys, your cloud, your choice.

Use Cases of ThinkNEO AI

Centralize cost and access control when teams already call multiple providers like OpenAI, Anthropic, Google, or Azure.
Meet strict regulatory requirements in finance, healthcare, or government with policy guardrails and tamper-proof audit trails.
Give every internal squad a governed, standardized AI endpoint without exposing raw vendor keys.
Let Finance see who spends what on AI in real time and auto-enforce budgets before the invoice arrives.
Block PII, toxic prompts, or off-brand outputs before they reach the model or the user.
Govern autonomous agents—approve which tools they can call, log every step, and stay compliant.
Keep vendor flexibility while embedding AI into CRM, ERP, or custom apps through a single gateway.
Ops teams monitor provider uptime, latency, error rates, and platform SLA from one Grafana-ready metrics stream.

FAQ about ThinkNEO AI

QWhat is ThinkNEO AI?

ThinkNEO AI is an enterprise control plane that sits between your applications and any AI provider. It unifies access management, cost control, security policies, and compliance auditing in one platform.

QWho is the primary audience?

CTOs, CFOs, Security & Compliance officers, Finance teams, and developers who need to scale AI across the organization without losing control of cost, risk, or governance.

QHow does it reduce AI spend?

AI FinOps meters every token across vendors, attributes cost to tenant or project, and lets you set hard budget caps or alert thresholds—so surprise bills never happen.

QWhat security features are included?

SSO, RBAC, tenant isolation, encrypted secrets vault, runtime input/output guardrails, and immutable audit logs—helping you meet SOC 2, ISO 27001, or internal policy requirements.

QHow hard is integration?

Drop-in OpenAI-compatible endpoint—change the base URL and keep your existing SDK calls. Most apps are connected in minutes, not weeks.

QWhich models or providers are supported?

Any provider that speaks OpenAI, Anthropic, Google, Azure, Bedrock, or open-source models via secure adapter—no vendor lock-in.

QHow is customer data handled?

All traffic and secrets are encrypted in transit and at rest; ThinkNEO AI never uses customer data to train models. See the DPA and privacy policy for full details.

QWhat deployment options exist?

Managed cloud SaaS, single-tenant SaaS, or self-hosted with Docker/Docker-Compose—choose the model that meets your data-residency and security requirements.

QHow does audit logging work?

Every request is captured with timestamp, user, model, cost, policy decision, and full context into an immutable, queryable log stream—ready for SIEM, Snowflake, or CSV export.