Ethana.AI is a compliance-first AI control layer built for regulated enterprises that want to scale AI without increasing risk. As organizations embed AI across support, sales, finance, and operations, security reviews, compliance approvals, and cost concerns quickly become bottlenecks. AI pilots succeed, but enterprise-wide rollout slows due to fragmented tools, vendor lock-in, and lack of governance.

Ethana sits between enterprise applications and all major LLM providers, including OpenAI, Anthropic, Gemini, Groq, and private or on-prem models. Instead of embedding AI logic and guardrails into every workflow, enterprises integrate once with Ethana and gain centralized control over model routing, prompt management, policy enforcement, monitoring, and budgeting.

Its vendor-agnostic gateway enables dynamic model switching based on cost, performance, or latency, reducing lock-in and future-proofing AI investments. Built-in cost governance provides real-time usage tracking, project-level budgets, and scoped virtual API keys, giving engineering and finance teams full visibility into LLM spend.

Security is embedded directly into the gateway through guardrails such as PII detection and masking, toxicity and bias checks, prompt injection protection, and custom policy rules. Policies are defined once and enforced consistently across all AI interactions, reducing legal and compliance risk.

Ethana also brings production discipline to AI through prompt versioning, A/B testing, automated evaluation, and hallucination detection. A visual no-code and low-code workflow builder enables teams to design agents and multi-step automations within secure governance boundaries.

With end-to-end tracing, immutable audit logs, role-based access control, and exportable compliance reports, Ethana transforms AI from isolated experiments into secure, enterprise-ready infrastructure. It is not another AI tool, but the centralized control layer enterprises require before AI can scale safely.

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