Agent Libre sells one thing: the inference model that answers behind your tools, served in Canada for a fixed amount per month. The tools themselves, agents, assistants or document processing, come from your vendor or your team. These pages describe ten use cases and four industries.
Book the auditEach page describes what the tool does for you, what Agent Libre changes behind that tool, and what it means for your teams.
What an agent that re-reads its history on every turn costs, and what changes when the model behind it is served in Canada for an amount known in advance.
What a model served in Canada changes behind Claude Code, Codex or Cursor, and what the team decides before switching.
What a model served in Canada changes behind a tool that reads documents by the thousand, and what each team decides before connecting it.
What each team decides before putting a model served in Canada behind the assistant that answers from your policies, procedures and contracts.
What a model served in Canada changes behind your support agent, and what your team decides before connecting it.
What a purchasing department checks before putting a model served in Canada behind the tool that reads its tenders, contracts and delivery slips.
Minutes, risk register, status report: what a model served in Canada changes behind your project tool, and what each team decides before connecting it.
The monthly report, the inventory of AI tools and the rule review your compliance team produces from the gateway, with no request to IT.
What the agent connected to the ERP asks of the model that serves it, and what finance, purchasing, payroll and IT check before changing that model.
The model behind your CRM and content tools, served in Canada, and what sales, marketing and privacy decide before connecting it.
Each page starts from what your sector asks of an AI provider, then points to the uses most common in your field.
Banks, insurers, credit unions and fintechs: what compliance, privacy and finance decide before putting Agent Libre’s model behind their AI tools.
What a ministry, a city, a hospital or a college decides before putting a model served in Canada behind its tools, and what the auditor finds there.
What a law, accounting or consulting engineering firm decides before putting a model served in Canada behind its contract review and file search tools.
For a business without an IT department: what to check and decide before putting Agent Libre’s model behind the tool that answers customers or reads invoices.
For an organization whose demand is counted in servers: half of one, a full one or several, a documented security review and continuous access to inference methods.
Agent Libre serves the language model that answers behind your tool. The tool itself comes from your vendor or your team.
The amount is written in the contract for twelve months. Re-reading history, lengthening a document or riding out a peak does not move the bill.
The infrastructure is hosted and operated in Canada. Requests are never used to train a model and are not kept beyond processing.
The first one you already know. Materials come in, they are transported, stored, transformed, delivered. Every step has a supplier, a lead time, a unit cost. When the margin tightens, you walk down that chain step by step, and you generally know where to look.
The second one moves information instead of materials. A price request comes in and becomes a quote. An order comes in and becomes a production order, an invoice, a confirmed delivery. A site report becomes a change order, or it does not. This chain runs through every one of your departments and it employs a large share of your people.
We measure your actual consumption at your current provider: who calls what, what it costs, and what is leaving your walls. Free, no commitment, and the report is yours even if you go no further.