Enterprise

The Enterprise AI Governance Platform

Your teams are already using AI. The question is whether you can see it, control it, and prove it is safe. Raidu gives CISOs, CIOs, and compliance leaders the AI control plane they need.

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What Happens When AI Adoption Outpaces Governance

AI sprawl is the new shadow IT — but faster, riskier, and harder to detect. Here is what enterprises face without a governance layer.

Shadow AI Across the Organization

Employees often use multiple AI tools without IT approval. Sensitive data — customer records, financial projections, source code, strategic plans — flows to unvetted models daily. You cannot govern what you cannot see.

Multi-LLM Sprawl & Vendor Lock-In

Engineering uses Claude, marketing uses GPT-4, legal uses Gemini. Each team has separate contracts, separate security reviews, and zero centralized visibility. Costs grow 40% quarter-over-quarter with no controls.

Uncontrolled AI Spending

Without per-department cost controls, AI API spending spirals. Token costs, fine-tuning experiments, and duplicate subscriptions create budget overruns that blindside CFOs at quarter close.

Compliance Gaps Across Departments

Each department has different regulatory obligations — HIPAA for benefits, SOX for finance, GDPR for EU operations. A single AI governance policy cannot address all of them, but siloed approaches create gaps.

How Raidu Solves This

Purpose-built AI governance that works the way your industry demands.

Centralized AI Visibility

See every AI interaction across every department, model, and user from a single dashboard. Discover shadow AI usage, map data flows, and understand your actual AI footprint for the first time.

Multi-LLM Routing & Management

Route AI requests to the optimal model based on cost, capability, and compliance requirements. Manage OpenAI, Anthropic, Google, Mistral, and open-source models through a single API with unified governance.

Granular Cost Controls

Set per-department, per-team, and per-user spending limits. Track token usage in real-time. Alert on budget thresholds. Give CFOs the AI cost visibility they have been asking for.

Department-Specific Policies

Configure different guardrails for different teams. HR gets PII masking. Engineering gets code leak prevention. Legal gets privilege protection. Finance gets SOX-compliant audit trails. One platform, tailored policies.

SOC 2 Type II (pursuing)
Typically <50ms Added Latency
On-Premise Available
Input + Output Protection

Frequently Asked Questions

How does Raidu help eliminate shadow AI?
Raidu acts as a centralized AI gateway. By routing all AI requests through Raidu's platform, organizations gain visibility into every AI interaction across every department. Combined with network-level controls, Raidu helps organizations discover unauthorized AI usage and migrate it to governed channels.
Can Raidu manage multiple LLM providers through a single interface?
Yes. Raidu supports OpenAI, Anthropic, Google, Mistral, Meta, Cohere, and other major providers through a unified API. Organizations can route requests to the optimal model based on cost, capability, data sensitivity, and compliance requirements — all with consistent governance.
How does Raidu help control AI costs?
Raidu provides real-time token usage tracking, per-department spending limits, budget threshold alerts, and cost optimization recommendations. Organizations can reduce costs by eliminating duplicate subscriptions and optimizing model routing.
Can different departments have different AI governance policies?
Yes. Raidu's policy engine supports unlimited policy configurations assigned by department, team, user role, or use case. Healthcare teams get HIPAA-focused policies, finance teams get SOX controls, EU teams get GDPR guardrails — all managed from a central console.
What does deployment look like for a large enterprise?
Raidu offers SaaS, private cloud, and on-premise deployment options. For enterprises, we typically deploy as an API gateway that sits between your applications and AI providers. Get started quickly with minimal configuration, with SDKs for Python, Node.js, and REST APIs.

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