Argy — the operating system for enterprise AI
A unified entry point (LLM Gateway), governed AI agents, and platform An Argy module is a packaged golden path (config schema + implementation + guardrails). It turns your toolchain into governed self‑service. to industrialize AI with quotas, auditability, and compliance built in.
For CTO / VP Eng
Ship faster, standardize without rigidity.
For Platform / SRE
Golden paths, governance, run automation.
For developers
Self‑service, clear conventions, reduced cognitive load.
Argy — the operating system for enterprise AI
Argy sits between teams, models, and the Your toolchain is your set of tools (Git, CI/CD, cloud, IaC, security). Argy doesn’t replace them: it orchestrates them and standardizes the experience.: an LLM Gateway for every request, governed agents, and An Argy module is a packaged golden path (config schema + implementation + guardrails). It turns your toolchain into governed self‑service. that industrialize A workflow is an orchestrated sequence of steps (e.g., provision → deploy → verify). Argy standardizes and observes flows to reduce cognitive load..
Argy is the enterprise AI OS: standardize once, govern all AI usage, and ship safely across In Argy, a product groups an application/service and its environments. It’s the unit where you apply modules, policies, and automations. and environments.
From friction to autonomy—without losing control.
Argy turns workflows into modules: standardization, self‑service and governance become a system.
Before
Tickets for every need
After
Controlled self‑service via modules
Recurring requests become standardized capabilities.
Before
Snowflakes and one‑offs
After
Versioned golden paths
Standardize without friction: conventions + parameters.
Before
Late manual controls
After
Governance by design
Policies and guardrails embedded in delivery and run.
An operating system for enterprise AI
Create AI apps and workflows without compromising security, governance, or sovereignty.
Centralize model access with multi-provider routing, quotas, and audit.
Deploy Argy Chat, Argy Code, and custom agents with policy checks.
Private uploads, shared scopes, and ACLs for enterprise knowledge.
Package workflows into reusable, versioned modules with guardrails.
Policy-as-code, full traceability, and role-based governance.
SaaS, hybrid, or on-prem LLM Gateway with keys in your perimeter.
A clear product journey—from creation to operations.
Argy structures the IDP experience: you publish capabilities, teams consume them in self‑service, governance follows.
Step 1
Configure the tenant
Set up SSO/SCIM, notification channels, LLM provider keys, and plan-based guardrails.
Step 2
Create a product
Define a product (service, data product, internal platform) and its environments.
Step 3
Pick a pattern module
Select a golden path: microservice, job, API, data pipeline…
Step 4
Configure DEV / STG / PRD
Apply parameters and guardrails per environment (policies, gates, observability).
Step 5
Deploy
Argy orchestrates IaC and CI/CD to produce a consistent, traceable result.
Step 6
Observe
Default dashboards and SLOs, actionable alerting, clear ownership.
Step 7
Improve
Iterate: version modules, measure adoption, and optimize run routines.
LLM Gateway — the entry point of the AI OS
A single, secure entry point for all your AI requests, with quotas, audit, and filtering.
Argy's LLM Gateway centralizes all calls to language models (OpenAI, Anthropic, Google, Azure OpenAI) with complete governance, and powers tenant-aware RAG (Retrieval-Augmented Generation) augments prompts with passages retrieved from your documents to deliver grounded, context-aware responses. and governed agents.
Multi-Providers
OpenAI (GPT-4/5), Anthropic (Claude), Google (Gemini), xAI (Grok), Mistral AI.
Quotas & Credits
Credit system (1 credit = 1M tokens) with alerts, plan limits, and overage control.
Intelligent Routing
Automatic model selection based on budget, desired quality, or task type.
Security Filters
Automatic detection and masking of PII, secrets, and forbidden topics in input/output.
Cache & Performance
Redis response caching to reduce costs and improve latency (p95 ≤ 2.5s).
Complete Audit
Traceability of each request: user, tokens, credits, model, filters applied.
OpenAI-Compatible API
Seamless integration with your existing tools through an OpenAI-style API.
/v1/chat/completionsLLM Inference/v1/usageConsumption and quotas/v1/modelsAvailable modelsExample Request
curl -X POST https://llm.argy.cloud/v1/chat/completions \
-H "Authorization: Bearer $ARGY_TOKEN" \
-H "X-Tenant-Id: $TENANT_ID" \
-H "Content-Type: application/json" \
-d '{
"model": "auto",
"messages": [{"role": "user", "content": "Hello!"}]
}'Argy Code — Governed AI Coding Agent
An autonomous development assistant that respects your A golden path is a recommended, standardized, versioned delivery path (IaC, CI/CD, policies, runbooks). Goal: ship fast without drift, with consistent guardrails., policies, and data boundaries.
Argy Code is a coding agent (CLI + IDE plugins) that leverages the LLM Gateway and Argy's business context to generate, test, and maintain code aligned with your standards and tenant policies.
Online-Only & Secure
No LLM API keys on the client side. All requests go through the governed LLM Gateway.
Business Context
Access to A golden path is a recommended, standardized, versioned delivery path (IaC, CI/CD, policies, runbooks). Goal: ship fast without drift, with consistent guardrails., RAG (Retrieval-Augmented Generation) augments prompts with passages retrieved from your documents to deliver grounded, context-aware responses. on your documentation, contextual recommendations.
Built-in Governance
Policy verification before each sensitive action (write, commit, PR).
Quality Gates
Automatic execution of tests, lint, and secret scanning before any commit.
IDE Plugins
Extensions for VS Code, JetBrains (IntelliJ, WebStorm, PyCharm...).
Powerful CLI
Integration into your CI/CD A pipeline is an automated execution (build, tests, deploy, validations). Argy orchestrates these runs on top of your existing CI/CD. for advanced automation.
Action Catalog
Filesystem
- File read/write
- Code search
- Patch application
Git
- Status and diff
- Automatic commits
- Pull Request creation
Execution
- Sandboxed commands
- Automated tests
- Builds
Argy Platform
- A golden path is a recommended, standardized, versioned delivery path (IaC, CI/CD, policies, runbooks). Goal: ship fast without drift, with consistent guardrails. retrieval
- Policy verification
- RAG (Retrieval-Augmented Generation) augments prompts with passages retrieved from your documents to deliver grounded, context-aware responses. queries
Agent Workflow
Argy Code follows a governed state machine for safe and auditable code generation.
With iteration loops and user confirmation gates for sensitive operations.
Flexible Deployment Options
Choose the model that fits your security, compliance, and sovereignty needs.
SaaS (Managed Cloud)
Start immediately on managed Azure infrastructure. Zero maintenance, automatic updates.
- Azure hosting in Europe (GDPR compliant)
- 99.9% availability SLA
- Automatic and transparent updates
- Support included based on your plan
Hybrid (Self-Hosted Agent)
SaaS control plane + agents deployed in your infrastructure for sensitive actions.
- Lightweight docker agents deployed in your network
- Outbound-only connection (HTTPS/gRPC)
- Direct access to your internal resources
- Real-time log streaming to Argy
- Available from the Growth plan
Enterprise (On-Premises LLM Gateway)
Deploy the LLM Gateway on‑premises to keep AI data internal.
- LLM Gateway deployed on your premises
- Your LLM API keys stay within your perimeter
- PostgreSQL and Redis provided by you
- Complete audit of AI requests
- Full on‑prem option (Enterprise)
SaaS architecture (high level)
Argy operates a managed control plane in Europe with a single entry point to your services and AI models.
High availability & continuity
Argy is designed to stay available and sovereign, even during regional incidents.
Network Flows to Open
For hybrid or on-premises deployment, here are the flows to authorize.
| Source | Destination | Port | Protocol | Direction | Description |
|---|---|---|---|---|---|
Argy Agent (your infra) | api.argy.cloud | 443 | HTTPS/gRPC | Outbound | Agent → Argy Control Plane communication |
Argy Agent (your infra) | Your internal resources | Variable | Variable | Internal | Action execution (Terraform, K8s, Git...) |
LLM Gateway (if on-premises) | api.openai.com / api.anthropic.com | 443 | HTTPS | Outbound | Calls to LLM providers |
LLM Gateway (if on-premises) | api.argy.cloud | 443 | HTTPS | Outbound | Quota and audit synchronization |
Security & Compliance
A platform built for regulated environments.
SSO & MFA
Azure AD, Okta, Google Workspace integration (SAML 2.0, OIDC) + SCIM. MFA via your SSO provider.
Granular RBAC
6 predefined roles (Admin, Platform Engineer, PM, User, Approver...) with least privilege principle.
Immutable Audit Trail
Complete audit trail of every action. CSV/JSON export for SIEM.
Multi-Tenant Isolation
PostgreSQL Row-Level Security, isolated Redis cache, RAG with per-tenant ACL.
Secrets Management
Vault, Azure Key Vault, AWS Secrets Manager. No plain‑text secrets.
Policy-as-Code
OPA/Kyverno rules applied automatically. Pre-deployment validation.
Compliance & Certifications
99.9%
Availability SLA
< 2.5s
p95 Latency (LLM Gateway)
100%
EU Data Residency
Automations you can ship in self‑service.
A clear view of what teams can automate—delivery, security, run, and governance.
Provisioning & environments
Create consistent environments (network, compute, Kubernetes, databases, secrets) from your company standards.
CI/CD & release
Trigger and standardize pipelines so teams ship faster with consistent steps.
Security & compliance
Embed security and compliance checks into flows, with guardrails by default.
Observability & SRE
Standardize monitoring, alerting, and operational routines from the first deployment.
Documentation & communication
Generate docs and notify teams automatically after each action.
Governance & approvals
Set up approvals, auditability, and access controls aligned with your organization.
Use cases
Concrete scenarios, outcomes-first: speed, autonomy, governance and reliability.
Industrializing DevSecOps (first use case)
Security comes too late: checklists, exceptions, and end-of-cycle rework.
- • Less rework
- • Explicit decisions
- • Measurable maturity
Governing enterprise AI
POCs multiply, API keys sprawl, and costs and risks are hard to control.
- • Controlled AI adoption
- • Full traceability
- • Vendor independence
Building assistants and AI agents
Each team experiments with agents without a shared framework or data boundaries.
- • Faster production rollout
- • Reusable workflows
- • Preserved confidentiality
Simple, transparent pricing
Choose the plan that fits your needs. Scale as you grow.
Managed SaaS for all plans. Hybrid from Growth. On-prem LLM Gateway in Enterprise.
Free
- Full Argy Console
- Standard module catalog
- Git integrations (GitHub, GitLab)
Starter
- Everything in Free +
- LLM Gateway SaaS included
- Argy Code (limited usage)
Growth
- Everything in Starter +
- Unlimited Argy Code
- Full Module Studio
Enterprise
- Everything in Growth +
- On-premises LLM Gateway
- Private self-hosted agents
No credit card required • 15% discount on annual plans • Cancel anytime
FAQ
Common questions.
Does Argy replace your existing tools?⌃
No. Argy interfaces with your toolchain (Git, CI/CD, cloud, Kubernetes, observability, secrets). Argy's role is to orchestrate and standardize via versioned modules, not to reinvent every brick.
What is an Argy 'module'?⌃
A module encapsulates an operational workflow: configuration schema, templates (IaC/CI), policies/guardrails, documentation, and runbooks. It is reusable, extensible, and applied per environment.
What is the difference with a 'home-grown' IDP?⌃
Argy provides a SaaS operating layer: catalog, governance, versioning, self-service experience, and steering. You keep your technical choices and tools — Argy accelerates standardization and adoption.
How to start in a few weeks?⌃
We start with 1 to 2 priority golden paths (e.g., microservice + ephemeral envs). Then, we expand the catalog and add governance/observability incrementally.
What is the role of AI in Argy?⌃
AI assists platform teams and developers in configuring modules, detecting drifts from standards (Golden Paths), and automated generation of operational runbooks.
Is Argy suitable for large enterprises?⌃
Absolutely. Argy was designed for scale, with fine-grained RBAC, SSO, audit logs, and dedicated support. It is the ultimate solution for organizations wanting to industrialize their DevSecOps.
European SaaS
GDPR compliant & hosted in EU
No Lock-in
Built on open standards
API-First
Everything is automatable
Ready to turn AI into an enterprise operating system?
Share your context (toolchain, constraints, org). We’ll propose a pragmatic rollout that makes AI governed, scalable, and sovereign.