Pay for the products you use.
Nothing else.

A source account is a single platform entity that QUANTI: syncs data from: one Google Ads account, one GA4 property, one Meta ad account, one HubSpot portal, one e-commerce store. It is not a login. A single Google login can give you access to several Google Ads accounts, and each one counts as one source account. Connect includes 5. Beyond that, each extra account is billed at €15 a month up to 20 accounts, then €12 a month from the 21st. Counted across your whole account, whatever the number of projects.

Most reporting tools push data straight to a spreadsheet or a dashboard. QUANTI: puts a data warehouse first because that is the only place where your data is structured, queryable, and yours. Three benefits follow. Your AI assistants get clean, business-ready context, with no tokens wasted exploring raw exports. Your activation platforms (Meta, Google, HubSpot) get reliable audiences and conversions. Your team always works on the same source of truth. Spreadsheets and dashboards stay valuable, but as outputs, not as the foundation.

No. Each product is sold on its own, monthly, without commitment. Start with Connect alone, add Track when you move your tags server-side, add Activate when you are ready to push data back. "Ask" is free up to three users, so it is on from day one.

Nothing stops. Each product includes a volume of its unit (hits, source accounts, storage and analysis, users, reverse syncs). Beyond it, the extra usage is billed at one published rate, the same for every customer, on your next invoice. No tier to pick, no plan to upgrade, no metered surprises: the rate is written on this page.

Yes, in one click. A new product starts immediately and is pro-rated on your next invoice. Extra usage on a product you already have is simply counted and billed at the published rate. Billing stays anchored on your subscription anniversary, no calendar reset, no engagement on top of your monthly plan.

MCP stands for Model Context Protocol. It is the layer that lets a Large Language Model talk directly to your data through curated QUANTI: tools (execute_query, list_prebuilds, get_schema_context, and more). It works out of the box with Claude, Mistral, ChatGPT, OpenClaw, and any AI assistant that speaks MCP. You ask in plain language, you get business answers backed by your own data, with full source visibility.

Yes. Bring your own BigQuery and Store costs nothing: Track, Connect, Enjoy AI and Activate work on top of it. If you would rather not run a warehouse yourself, Store gives you a managed BigQuery project for €10 a month, with 100 GB stored and 1,200 GB analyzed included, then billed on actual usage. Snowflake and ClickHouse are available on request. Either way, you own the data, the schema, and the queries.

Your data, your cloud. If you use Store, your warehouse lives in the EU and never leaves it. If you bring your own BigQuery, Snowflake or ClickHouse, the data stays exactly where you put it. QUANTI: processes, you own. There is no QUANTI: copy on a side server, no analytics warehouse owned by us, no risk of getting stuck.

Yes. We ship a new connector roughly every two weeks. Our public roadmap lists what is in production, in beta, and on the backlog. You can request a connector directly from the app, and we prioritize based on customer needs and community votes. On-demand connectors with a dedicated SLA on time-to-delivery are available on request.

Every product comes with access to the full documentation and support from our team. Dedicated support is available on request: an Account Manager who knows your stack, a direct channel with an SLA, onboarding workshops, Semantic Layer setup tailored to your KPIs, and quarterly business reviews. Talk to sales.