About Wag-Tail

The AI Application–Centric gateway — a dedicated profile for every AI application, connected to any LLM.

Built Around Your AI Applications

1 : 1
Application to Profile
3
Composable Building Blocks
60–80%
AI Cost Reduction
Any
LLM Provider

Each AI application connects to its LLM through its own profile — a package of security rules, MCP components, and token-optimization rules — so every application gets exactly the controls, tools, and cost profile it needs.

Our Mission

Enterprises don't run "AI" — they run many distinct AI applications, each with different security needs, tools, and cost profiles. Our mission is to move from one blunt gateway policy to an application-centric model, where every AI application gets a profile built from the exact controls it needs — governed centrally, tuned individually.

Security Rules

Compose each application's protection — PII masking, injection and jailbreak defense, content filtering, and policy — instead of forcing one rule set on every use case.

MCP Components

Grant each application only the MCP tools and data it should reach — knowledge base, database, ticketing, search — under least-privilege access and full audit.

Token Optimization

Tune caching, prompt compression, and smart routing per application, so each workload gets the cost and latency profile that fits it best.

Why Wag-Tail Exists

The moment AI usage scales beyond a pilot, "one policy for everything" breaks down. Teams wire ChatGPT, OpenAI, Azure OpenAI, Claude, and Google AI into many different applications — support bots, developer copilots, analytics assistants, public chatbots — and each one has genuinely different requirements.

A single global gateway policy leaves every application compromised in some way:

  • Over-restricted applications that can't access the tools they need
  • Under-protected applications that leak PII, financial data, or source code
  • Every application granted the same broad MCP tool access — a security risk
  • Token savings left on the table for workloads that could benefit
  • One policy change that risks breaking every application at once
  • Vendor lock-in to a single model or provider

Wag-Tail makes the AI application the unit of control. Each application connects through its own profile, so its security rules, MCP components, and token-optimization rules can be set — and changed — independently, without redesigning a single application.

Our Values

Application-Centric

The AI application is the unit of control. Every feature exists to help you tailor a profile to what each application actually does.

Security by Default

Sensitive data is detected and masked before it reaches a provider — and you decide exactly which rules apply to each application.

Least Privilege

An application can only reach the MCP tools in its profile. No blanket access, no surprises — scoped context for every app.

Cost Transparency

Track and optimize AI spend per application, team, and model — and apply token savings only where they help.

No Vendor Lock-In

Route any profile across OpenAI, Azure OpenAI, Anthropic, Google, and more. Keep pricing leverage and the freedom to switch.

Trust & Transparency

We're transparent about our practices, pricing, and roadmap. Your trust is our most valuable asset.

Our Technology

Wag-Tail is built on modern, battle-tested technologies that make per-application profiles fast, reliable, and easy to operate:

Profile Engine

Composes security rules, MCP components, and token-optimization rules into a per-application profile applied to every request.

MCP Integration

Attach Model Context Protocol tools and data sources to a profile, with scoped, least-privilege access per application.

Semantic Caching

Repeated and similar queries are answered instantly from cache, cutting token usage and API cost for the apps that benefit.

Multi-Provider Routing

Smart routing and automatic failover across OpenAI, Azure OpenAI, Anthropic, Google, and more — per profile.

The Three Building Blocks

Every application profile is composed from the same three building blocks — mixed and matched to fit each use case:

Security Rules

Protection Tailored per App

Choose exactly how each application is protected — from a strict public chatbot to an internal finance assistant.

  • PII Detection & Masking
  • Prompt Injection & Jailbreak Defense
  • Content & Policy Filtering
  • F5 & Enterprise Integrations

MCP Components

Only the Tools Each App Needs

Attach the Model Context Protocol tools and data an application is allowed to use — and nothing more.

  • Scoped Tool & Data Access
  • Knowledge Base, Database, Ticketing, Search
  • Reusable, Least-Privilege Components
  • Governed, Audited Tool Calls

Token Optimization

Cost Tuned per Workload

Apply the optimization strategy that matches how each application actually uses tokens.

  • Semantic Caching
  • Prompt Compression
  • Smart Model Routing
  • Per-App Budget Controls & Alerts

Ready to give every AI application its own profile?

View Pricing Contact Sales

Our Vision

We envision a future where every AI application is protected, equipped, and optimized for exactly what it does — where the profile, not the provider, is the thing you design around.

What We're Building Towards:

  • Application-Centric Control: Every AI application governed through its own profile, with per-app policy and audit.
  • Composable Security: Security rules mixed and matched to each application's real risk.
  • Governed Tool Access: MCP components granted under least privilege, scoped to each application.
  • Optimized Spend: Caching, compression, and routing applied where each workload benefits most.
  • Freedom of Choice: No vendor lock-in — route any profile to the best model for the task.

Give Every AI Application Its Own Profile

Join the organizations moving from one blunt AI policy to a tailored profile for every application — protected, equipped, and optimized for exactly what it does, without changing how their teams work.

Contact Sales View Pricing