Put the cost of delivery on the table
When engineering work moves between teams and suppliers, the invoice rarely tells you what reached production. Compare Starter, Growth and Enterprise by capacity, then discuss the scope and oversight your delivery organisation needs.
Unit of work (UO) pricing & contracted autonomy tiers
Service levels and engagement terms are calibrated with your production management, depending on the contracted autonomy tier chosen for your scope — a point we clarify together in discovery.
Every deployment has its own regulatory constraints and contracted autonomy tier. Let's discuss what applies to yours.
Argy Virtual Tokens: radical cost transparency
The rule: 1 Argy credit = 1M virtual tokens = €50. For every 1M virtual tokens, your team accesses ~3.8M real provider tokens on average (OpenAI, Anthropic, Mistral, Google, xAI…) — thanks to intelligent routing. The console shows consumption in millions. No opaque credits, no hidden margin.
Simulate the UO delivered with your Argy credits
Adjust your monthly credits and supervision assumptions to explore delivered capacity, then scope the team that governs it for your context.
Estimated delivered UO / month
1,190–1,455
Equivalent person-days : 680–830
Configured conversion: 4 hours per UO, 7 hours per person-day. These are not measured person-days.
Observation: €10,000 in monthly Argy credits corresponded to 238–291 UO and 136–166 equivalent person-days (3 production tenants, 3 months of observation, as of September 26, 2026; indicative, non-contractual, excluding the valuation of avoided risk). Other budgets are indicative projections, not additional observations.
Indicative, non-contractual figures. Every deployment has its own regulatory constraints and contracted autonomy tier. Let's discuss what applies to yours.
Operational team to plan for
2 SFE
Supervising engineers to mobilize under the reference plan : 1 SFE. Full team: a safety floor of 2 SFE for backup and dual sign-off.
1 supervision day for 50 delivered person-days — editable assumption, not an observed metric.
Indicative supervision need: 13.6–16.6 person-days / month (no FTE inferred).
Reading reference: 20 supervision person-days per month (20 working days), a simulation assumption, not an observed metric.
Testing, deployment windows and business acceptance still need scoping: this figure covers supervision, not every person involved.
About team roles and planning ratios
SFE: Software Factory Engineer (supervision); SFL: team lead (coordination); SFA: team architect (architecture). Planning guides: 1 lead for 4–8 SFE, 1 architect for 1–2 teams.
An Argy credits simulation scenario to adapt to your scope: this monthly budget is not the price of a subscription. No plan is preselected.
Starter
Bring your first projects under control with reusable modules and clear quotas.
Included quotas
- In Argy, a project groups an application/service and its environments (dev/staging/prod). It’s the unit where you apply modules, deployments, and policies.
- 5 projects
- An Argy module is a versioned workflow made of actions (nodes) and connections, with inputs/outputs schemas. It can behave like an agent with tools through its actions, including the Argy AI action (a module-specific subagent).
- 20 active modules
- A pipeline is an execution (run) with steps, status, real-time logs, artifacts, and outputs.
- 100 pipelines/month
- AI tokens measure LLM consumption. Argy governs them through the LLM Gateway (quotas, audit, filtering) to control costs and risks.
- 0.1M virtual tokens/month~0.38M real provider tokens
- RAG (Retrieval-Augmented Generation) augments prompts with passages retrieved from your documents to deliver grounded, context-aware responses.
- 20 RAG documents
- RAG (Retrieval-Augmented Generation) augments prompts with passages retrieved from your documents to deliver grounded, context-aware responses.
- 1,000,000 indexed RAG tokens
- RAG (Retrieval-Augmented Generation) augments prompts with passages retrieved from your documents to deliver grounded, context-aware responses.
- 200 MB RAG storage
- RAG (Retrieval-Augmented Generation) augments prompts with passages retrieved from your documents to deliver grounded, context-aware responses.
- 200 RAG queries/month
Features
- Argy Console and Git integrations
- Multi-provider LLM Gateway SaaS (OpenAI, Anthropic, Mistral…)
- Argy Code — governed CLI agent
- Module Studio
- Smart routing — cheapest model fit for each task
- Email support
- Cloud integrations (AWS, Azure, GCP)
- 99.9% availability SLA (SaaS)
- Argy Workbench planned — not yet available
Growth
Extend deployments while retaining control of access and audit trails.
Included quotas
- In Argy, a project groups an application/service and its environments (dev/staging/prod). It’s the unit where you apply modules, deployments, and policies.
- 25 projects
- An Argy module is a versioned workflow made of actions (nodes) and connections, with inputs/outputs schemas. It can behave like an agent with tools through its actions, including the Argy AI action (a module-specific subagent).
- 100 active modules
- A pipeline is an execution (run) with steps, status, real-time logs, artifacts, and outputs.
- 1,000 pipelines/month
- AI tokens measure LLM consumption. Argy governs them through the LLM Gateway (quotas, audit, filtering) to control costs and risks.
- 0.5M virtual tokens/month~1.9M real provider tokens
- RAG (Retrieval-Augmented Generation) augments prompts with passages retrieved from your documents to deliver grounded, context-aware responses.
- 100 RAG documents
- RAG (Retrieval-Augmented Generation) augments prompts with passages retrieved from your documents to deliver grounded, context-aware responses.
- 10,000,000 indexed RAG tokens
- RAG (Retrieval-Augmented Generation) augments prompts with passages retrieved from your documents to deliver grounded, context-aware responses.
- 2,000 MB RAG storage
- RAG (Retrieval-Augmented Generation) augments prompts with passages retrieved from your documents to deliver grounded, context-aware responses.
- 1,000 RAG queries/month
Features
- Everything in Starter +
- Argy Code — unlimited access, all models
- Self-hosted execution agents (add-on)
- Module Studio — reusable Golden Paths
- Tenant-aware RAG (Retrieval-Augmented Generation)
- Advanced RBAC + Audit logs (AI Act compliance)
- Approval workflows
- Shadow AI detection — centralizes ungoverned AI usage
- Priority support
- 99.9% availability SLA (SaaS)
- Argy Workbench planned — not yet available
Enterprise
For large enterprises with compliance and sovereignty requirements.
Included quotas
- In Argy, a project groups an application/service and its environments (dev/staging/prod). It’s the unit where you apply modules, deployments, and policies.
- Unlimited
- An Argy module is a versioned workflow made of actions (nodes) and connections, with inputs/outputs schemas. It can behave like an agent with tools through its actions, including the Argy AI action (a module-specific subagent).
- Unlimited
- A pipeline is an execution (run) with steps, status, real-time logs, artifacts, and outputs.
- Unlimited
- AI tokens measure LLM consumption. Argy governs them through the LLM Gateway (quotas, audit, filtering) to control costs and risks.
- Negotiated virtual tokens~3.8M real tokens per 1M virtual tokens
- RAG (Retrieval-Augmented Generation) augments prompts with passages retrieved from your documents to deliver grounded, context-aware responses.
- Unlimited
- RAG (Retrieval-Augmented Generation) augments prompts with passages retrieved from your documents to deliver grounded, context-aware responses.
- Unlimited
- RAG (Retrieval-Augmented Generation) augments prompts with passages retrieved from your documents to deliver grounded, context-aware responses.
- Unlimited
- RAG (Retrieval-Augmented Generation) augments prompts with passages retrieved from your documents to deliver grounded, context-aware responses.
- Negotiated
Features
- Everything in Growth +
- On-premises LLM Gateway — AI data stays in your perimeter
- Self-hosted execution agents
- RAG on internal data
- SSO (OIDC/SAML) + SCIM
- ITSM integration
- Native AI Act compliance — audit logs, PII traceability
- EU Sovereign Cloud or on-premises deployment
- 99.9% SLA guaranteed
- Dedicated 24/7 support
- Argy Workbench planned — not yet available
Enterprise supports SaaS, dedicated, and on-premises deployments. Get a custom quote tailored to your organization’s needs.
What changes when your scope expands?
Start with the volume of projects you need to maintain. Then check where access controls, private deployment and support become part of your operating model — not just another line on a quote.
| Feature | Starter | Growth | Enterprise |
|---|---|---|---|
| In Argy, a project groups an application/service and its environments (dev/staging/prod). It’s the unit where you apply modules, deployments, and policies. | 5 projects | 25 projects | Unlimited |
| An Argy module is a versioned workflow made of actions (nodes) and connections, with inputs/outputs schemas. It can behave like an agent with tools through its actions, including the Argy AI action (a module-specific subagent). | 20 active modules | 100 active modules | Unlimited |
| A pipeline is an execution (run) with steps, status, real-time logs, artifacts, and outputs. | 100 pipelines/month | 1,000 pipelines/month | Unlimited |
| AI tokens measure LLM consumption. Argy governs them through the LLM Gateway (quotas, audit, filtering) to control costs and risks. | 0.1M virtual tokens/month | 0.5M virtual tokens/month | Negotiated virtual tokens |
| RAG (Retrieval-Augmented Generation) augments prompts with passages retrieved from your documents to deliver grounded, context-aware responses. | 20 RAG documents | 100 RAG documents | Unlimited |
| RAG (Retrieval-Augmented Generation) augments prompts with passages retrieved from your documents to deliver grounded, context-aware responses. | 1,000,000 indexed RAG tokens | 10,000,000 indexed RAG tokens | Unlimited |
| RAG (Retrieval-Augmented Generation) augments prompts with passages retrieved from your documents to deliver grounded, context-aware responses. | 200 MB RAG storage | 2,000 MB RAG storage | Unlimited |
| RAG (Retrieval-Augmented Generation) augments prompts with passages retrieved from your documents to deliver grounded, context-aware responses. | 200 RAG queries/month | 1,000 RAG queries/month | Negotiated |
| The LLM Gateway centralizes and secures AI calls (providers, quotas, audit, filters) and exposes an OpenAI-compatible API.LLM Gateway | Available | Available | Available |
| Argy Code is a developer AI agent in the terminal. It supports interactive (TUI) and autonomous execution (argy run) for automation, with built-in tools (Bash, filesystem, Git, MCP).Argy Code | Available | Available | Available |
| Argy Workbench is a planned unified desktop for the Argy ecosystem. It is not yet available.Argy Workbench | Not available | Not available | Not available |
| Module Studio is the visual editor (drag-and-drop) to design modules: actions, connections, simulation, publishing, and versioning. An AI assistant can generate and configure workflows from natural language.Module Studio | Available | Available | Available |
| RAG | Available | Available | Available |
| Advanced RBAC | Not available | Available | Available |
| SSO + SCIM | Add-on | Add-on | Available |
| Self-hosted agents | Not available | Add-on | Available |
| LLM Gateway on-premises | Not available | Add-on | Available |
| SLASee contract terms | 99.9%* | 99.9%* | 99.9%* |
| Support | Priority | Dedicated 24/7 |
* Availability commitment subject to specific terms, see our terms and conditions.
Add-ons & Extra capacity
Extend Argy with optional packs—keep pricing predictable while you scale.
+1M Argy virtual tokens (1 credit)
1 credit = 1M virtual tokens = ~3.8M real provider tokens on average. Increase your quota for LLM Gateway, Argy Code and RAG. Buy as many credits as needed.
Available for: Starter, Growth, Enterprise
+100 pipelines/month
Run more deployment pipelines each month.
Available for: Starter, Growth, Enterprise
Self-hosted execution agents (hybrid)
Enable a self-hosted agent to run sensitive actions inside your network.
Available for: Growth
On-premises LLM Gateway
Deploy the LLM Gateway on your premises to keep AI data internal.
Available for: Growth
SSO (OIDC/SAML)
Single sign-on via your identity provider.
Available for: Starter, Growth (included in Enterprise)
SCIM / Directory provisioning
Automatic user and group synchronization.
Available for: Growth, Enterprise
Onboarding training
Personalized training session for your teams.
Available for: All plans
Dedicated support
Priority access to a dedicated support engineer.
Available for: Starter, Growth (included in Enterprise)
Delivery assurance
A commitment to mobilize Argy-certified Software Factory Engineers when your teams face a blocked delivery: up to four interventions per month, two person-days per intervention, with no additional charge per intervention within the option's monthly fee. Each intervention includes knowledge transfer to your teams so they can resume the work.
Available for: Enterprise
Architecture & deployment
A clear view of SaaS, hybrid, and on‑prem deployment models, aligned with product options.
SaaS hosting (EU)
- - Azure Kubernetes Service (AKS) — EU region: France Centrale.
- - EU data hosting (GDPR by design).
- - 99.9% availability SLA (SaaS).
Deployment models
- - SaaS (Cloud‑Managed): managed console and gateway on Azure (EU).
- - Hybrid: SaaS console + execution agents in your infrastructure.
- - On‑prem: Kubernetes deployment in your environment + local LLM Gateway (Enterprise + add-on).
- - Helm charts available (centralized configuration via values.yaml).
Sovereignty and network constraints can influence the recommended model.
Questions before you commit
What does ‘Start for free’ mean on the pricing page?
This button opens a workspace to explore Argy; it does not refer to a zero-price offer. The published plans are Starter, Growth and Enterprise. Before any commitment, we discuss your scope and the terms suited to your teams.
How do we choose between Starter, Growth and Enterprise?
Starter, Growth and Enterprise differ in project, module, pipeline and token capacity. The comparison also sets out access controls and deployment options. If your requirements call for a private environment or tailored support, let's discuss an Enterprise configuration on request.
Which security and governance controls will our teams have?
Review your access management, RBAC, SSO/SCIM and audit requirements with us before selecting an offer. SaaS, hybrid or on-premises deployment depends on the agreed scope; the SaaS SLA terms are set out in the contractual conditions.
How is an Enterprise engagement scoped?
Enterprise pricing is quoted against your scope, volumes, deployment model and required controls. Delivery assurance is a separate option: we agree its terms with you before making a contractual commitment.
What does Delivery assurance provide when a delivery is blocked?
For Enterprise, the Delivery assurance option at €40,000 excl. VAT/month commits Argy-certified Software Factory Engineers when your teams face a blocked delivery: up to four interventions per month, two person-days each. There is no additional charge per intervention within the option's monthly fee; each intervention includes knowledge transfer. This mobilization capacity is not an unconditional outcome promise.
Your next delivery deserves a clear operating model
Open your workspace to explore Argy, or bring us the scope you need to maintain. We'll walk through the capacity, oversight and engagement terms that make sense for your teams before you choose an offer.
An annual commitment carries a 15% discount; let's review its terms together.
European SaaS
GDPR compliant & hosted in EU
No Lock-in
Built on open standards
API-First
Everything is automatable
Ready to get started with Argy?
Evaluate the platform on your initial use cases, or connect with our team to structure your enterprise deployment.