Junyr: you are not buying an AI. You are buying the base your AI works on.

A Croissance & Transitions manifesto

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The idea in one sentence

Most of the “AI” software of 2026 sells you tokens: it pays for the artificial intelligence, resells it with a margin, then bills you by usage. Junyr does the opposite. We sell you your sovereign business database and the complete MCP on which your AI acts. The expensive AI is not something we pay for: it is something you bring.

This reversal is not an accounting detail. It is what makes a simple, flat, readable price possible, where all the others are condemned to count your requests and to unnerve you with variable bills.

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Why everyone else’s price is unstable (and ours is not)

State-of-the-art AI reasoning (the kind that runs a company, cross-references data, carries out complex actions) is expensive in compute. Any software vendor that builds this intelligence into its product absorbs the cost of the token [1][2][3]. It then has only three options: meter your usage, cap it, or pass on a bill that swells when you work more. In all three cases, you pay for your own productivity as though it were a penalty.

Junyr escapes this trap because the most expensive layer never goes through our bill. We are not token resellers. We are the sovereign, agent-ready management system onto which intelligence, yours, plugs in.

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The three-layer architecture of AI cost

Layer	Who pays for the AI	What it covers
Complex / agentic reasoning	You: your Claude, ChatGPT or Gemini subscription, connected via MCP (Cowork)	Complex requests, running the company through the MCP, on your sovereign data, in keeping with your confidentiality
AI-native day-to-day	Junyr: credits included in the plan	Morning briefing, Nightly Reflections, virtual executive committee, Voice / Voice MCP, simple actions, routine agents
Total sovereignty	You: your own model (sovereign server or API key)	Gradual emancipation from the American giants, at your own pace

The reading is simple: the most expensive layer is never on our bill. The AI-native day-to-day is included in a predictable plan. And if you want to go all the way to total sovereignty, you plug in your own model.

Better still: we do not merely charge less, we make you consume less. Junyr does not settle for exposing raw data: it exposes pre-computed answers. Rather than forcing the AI to pull hundreds of rows and then aggregate everything itself (more tokens, more latency, more calculation errors), some twenty tools return the ready-to-use result in a single call: morning briefing, financial KPIs, sales pipeline, margin per deal, three-month cash-flow forecast, customer health score, anomaly detection. “What is my situation this morning?”, “my margin on deal X?”, “my cash position at quarter-end?”: one question, one call, one answer. Where an MCP that exposes only raw CRUD multiplies the requests and makes the model do the maths, Junyr does the computation server-side, that much less time and that many fewer tokens at every interaction, on your subscription.

A direct consequence: a single, flat, readable plan is not merely possible with Junyr: it is structurally superior to what AI products that pay the token on your behalf can offer.

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Pillar 1: The expensive AI is what you bring

In 2026, many companies already pay for a Claude or ChatGPT subscription. That intelligence, you already have. What you lack is not one more model: it is a clean, structured, permissioned business base on which that intelligence can genuinely act.

That is exactly what Junyr gives you. You connect your AI via MCP, and it runs your company (quotes, deals, contacts, documents, finance) on data you control. The costly intellectual work runs on your subscription. The Junyr plan, for its part, stays flat.

And what if you do not yet have an external AI subscription? The offer stands up all the same: the virtual executive committee, the Voice feature and the Nightly Reflections run on the operational AI that is included. This is a floor, not a bonus. You start with a platform that is already intelligent, and you add state-of-the-art AI the day you decide to.

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Pillar 2: Sovereignty and confidentiality are technical assets, not slogans

When we say “connect ChatGPT without exposing your data”, this is not a marketing promise. It is a mechanism.

Junyr’s MCP already enforces, at the technical level, a per-company partitioning, a sanitisation of the data exposed, and a read refusal on accounts set to Total confidentiality. Your confidentiality tiers (Total, Secured) are not tick-boxes: they are rules the platform enforces on every request, including those of a third-party AI.

This is what turns a legitimate worry (“if I connect an American AI to my data, what leaves?”) into a clear answer: what leaves is scoped, filtered, permissioned, per company. And for those who want to take the logic all the way, the “total sovereignty” layer lets you bring your own model (sovereign server or API key) and free yourself, gradually, from the American giants.

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Pillar 3: Complementary to Claude and ChatGPT, never a competitor

The mistake would be to think that Junyr fights against the large models. It is the opposite: we ride the wave, we do not fight it.

In 2026, agents (Claude Cowork, the ChatGPT agents) are searching everywhere for structured, permissioned, trustworthy business data to act on. Junyr is precisely that, with sovereignty on top. We are the data + MCP layer that these agents lack in order to become truly useful in an SME.

And it is a complete layer. An agent runs only what the MCP makes accessible: if half the company stays out of reach, the agent remains a gadget. Where most connectors expose only the CRM (or generic data that the AI has to reassemble piece by piece), Junyr’s MCP natively covers the full range of business surfaces: email, CRM, deals, quotes and invoicing, purchasing and suppliers, catalogue, production, finance, expense reports, calendar, video conferencing, HR, CSR, electronic signature, documents, steering. The agent can therefore run the whole company, not just its address book.

This has two strong consequences. First, the more your company’s Claude or ChatGPT workflows go through our MCP, the more Junyr becomes the infrastructure of your operation, and the more costly it would be to leave. That is what justifies an annual commitment and an unapologetic price. Second, you rise with the ecosystem instead of betting against it: every advance in Claude or ChatGPT makes your Junyr more powerful, without changing anything on your bill.

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A new category, outside the usual pricing grids

Junyr is not “a CRM”. Not “a webmail”. Not one more “AI wrapper”. It is the sovereign, agent-ready management system: the data and MCP layer on which your artificial intelligence operates your business.

Because it is a new category, there is no term-for-term comparison with the tools you know. And that is deliberate: the value metric is neither the seat (the AI does the work, counting seats no longer makes sense) nor the token (that is not our expense). The value metric is the company running its business on Junyr. A platform plan per company, slightly adjusted to your usage. Flat. Simple. Readable.

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In concrete terms, what is it?

Technically, Junyr is a structured data model that lets you run your company through MCP, a single central piece of software for your entire IT: email, documents, projects, quotes, electronic invoicing, catalogue, strategic steering, where you used to juggle ten siloed tools. You run your whole business through a web interface, in natural language, or by voice. No more navigating through ten screens: you ask out loud, the way you would speak to a colleague, the AI acts on your data, in keeping with your confidentiality rules.

And the mechanics of MCP are not only elegant, they are economical: by connecting your company to your consumer AI subscription (Claude or ChatGPT) rather than to the token-billed API, the operating cost per user is divided by a factor of the order of 20 [4][6] (and often far more [5]) compared with a metered API integration. The subscription is flat; the token is not. Our own case bears this out: at Croissance & Transitions, running our business on Junyr through our consumer AI subscriptions costs us roughly €4,000 over the period, whereas the same volume of reasoning billed by the token through the API would represent something of the order of €80,000 [1]: a cost divided by 20.

And for advanced functions, we go further: we configure bespoke agents for you, fully integrated into your workspace, in the service of your staff. Each person then has AI assistance that genuinely knows the company’s business, because it works on its real data.

Finally, Junyr is designed for the coming decade, not to catch up on the previous one: certified, time-stamped documents and emails (provable content and date), post-quantum security by design, and an architecture ready for agent-to-agent (A2A) business. The day it is your customers’ and suppliers’ agents that negotiate, order and invoice, your company is already able to deal with them, under your rules.

What you get, in concrete terms

A Junyr plan per company is not “a database”. It is the whole: the management system, the email, the business modules, the MCP, the confidentiality tiers, the operational AI included (virtual executive committee, Briefing, Voice, Reflections), and the migration support by a consultant.

State-of-the-art intelligence, you bring when you want. Sovereignty, you switch on at your own pace. And the price, for its part, does not wobble.

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How we begin together

The path is short and risk-free:

1. An AI Express Audit & Roadmap (60 minutes), online. We look at your business, your data, your usage, and we identify where sovereign AI saves you time from the very first month.
2. A personalised demo of Junyr, connected to your business reality.
3. A migration possible in 72 hours. You do not wait for months: you switch over to your sovereign base in three days, supported by a consultant.

Book your AI Express Audit & Roadmap (60 minutes): it is free, and you leave with a clear vision, whether you choose Junyr or not.

To go further

• Token budgets and AI APIs: the FinOps guide for SMEs: why the token-based cost is structurally unstable, and how to govern it.
• Junyr Agents™: delegating AI in your SME without losing control: how agents run your processes on your real data, under mandate and audit log.
• The “All-Cloud” is dead: 5 risks that make strategic On-Premise essential: the sovereignty and confidentiality framework within which Junyr sits.

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Junyr is a platform published within the Croissance & Transitions ecosystem.

Sources: verifiable, June 2026

[1] Anthropic, Claude API pricing, accessed June 2026. URL: https://platform.claude.com/docs/en/about-claude/pricing; official price list per million tokens (input/output) by model; reference base for costing usage billed by the token. The API equivalent “of the order of €80,000” is an internal calculation derived from this list (a factor of ≈ 20× the subscription), and not a figure appearing on the page.

[2] OpenAI, API Pricing, accessed June 2026. URL: https://developers.openai.com/api/docs/pricing; token-based pricing with distinct input and output prices (per million tokens); confirms that state-of-the-art intelligence is, at OpenAI too, billed by usage.

[3] Google, Gemini API, Pricing, accessed June 2026. URL: https://ai.google.dev/gemini-api/docs/pricing; pricing per million tokens (input/output, reasoning tokens included in the output price) for the Gemini language models.

[4] API易 (apiyi), Claude Max Subscription vs API Pay-As-You-Go, 2026. URL: https://help.apiyi.com/en/claude-max-vs-api-pay-per-use-pricing-comparison-claude-code-savings-guide-en.html; third-party analysis; costed case of usage of ~10 billion tokens over 8 months: ~$15,000 at the API rate against ~$800 of subscription, that is ~94% saving (≈ ÷17, “of the order of 20”). Commercial source (API reseller), to be read as an independent analysis and not as official Anthropic data.

[5] Indie Hackers (Khadin Akbar), “I used $30,983 of AI tokens last month in Claude Code on $200/mo plan”, May 2026. URL: https://www.indiehackers.com/post/i-used-30-983-of-ai-tokens-last-month-in-claude-code-on-200-mo-plan-3337a369a6; a developer on a $200/month plan documents ~17 billion tokens consumed in one month, whose value at the API rate would reach $30,983 (≈ 150× the price actually paid). Self-declared figure (linked to the promotion of the tokenflex.ing tool): to be read as an anecdotal illustration of the gap between token billing and flat plan, not as a bill issued.

[6] Product Compass (Paweł Huryn), Claude Code Pricing, April 2026. URL: https://www.productcompass.pm/p/claude-code-pricing; estimates that a coding agent run via a flat subscription comes out “about 15 to 30× cheaper” than the same work billed by the token via the API (concrete case: ~$1,588 of tokens in API equivalent covered by a $200 subscription).

Article written by Paul-Antoine TUAL, AI Transformation Leader, creator of the MATIA Method™.