AI sovereignty for your team's work

Your documents, your choice of AI. Scholarly runs models from six labs — including open-source — so no single company's outage, policy change, or price hike decides whether your team can work. EU-hosted options included.

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Free to start · Works with the sources you already have

Used by 170,000+ users worldwide

6
AI labs in one workspace
12+
models to switch between
100%
generated from your own sources
Choosing between AI models from multiple labs in Scholarly

The problem

A single AI vendor is a single point of failure

Teams are wiring AI into how they research, produce, and learn. Doing that on one company's models means betting the whole workflow on decisions you don't control.

Outages stop everything

When your only AI provider goes down, every workflow that depends on it stops with it. With models from six labs, you switch and keep working.

Policies change under you

Providers differ on what they will answer and how they handle data — and their rules change. One company's policy update shouldn't strand your team's work.

Prices move, models retire

Models get repriced and deprecated on someone else's schedule. Lock-in turns every one of those changes into your migration project.

Data has a jurisdiction

European organizations face data-residency requirements that a US-only AI stack can't meet. Where your models run matters as much as which models run.

The answer

What AI sovereignty means at Scholarly

Sovereignty isn't a feature toggle — it's how the workspace is built: multiple labs, open models, hosting you can choose, and controls your admins own.

Models from six AI labs

OpenAI, Anthropic, Google, xAI, Mistral AI, and DeepSeek in one workspace. Pick the best model per task, and switch whenever it serves you.

Open-source models included

Open models from Mistral and DeepSeek sit alongside the frontier ones, so your team is never locked into a single closed vendor.

EU-hosted models

Teams working under European data requirements can use EU-hosted models.

Controls your admins own

On Teams, model access controls apply to the whole workspace at once — your organization decides exactly which labs and tiers are in play.

The catalog

Six labs, one workspace

Use the strongest model for deep reasoning, the fastest for everyday chat, and an open model where control matters — without leaving your sources.

OpenAI

GPT 5.6 Terra and Luna for chat, with GPT 5.6 Sol on generation jobs.

Anthropic

Claude Sonnet 5 and Haiku 4.5, with Claude Opus 5 on generation jobs.

Google

Gemini 3.1 Pro and the Flash family.

xAI

Grok 4.6 for fast, current-events-aware chat.

Mistral AI

Large 3, Medium 3.5, and Small 4 — open models from a European lab.

DeepSeek

Deepseek Flash — an open-weight model for efficient reasoning.

The catalog evolves as labs ship new models — the point is that it never depends on any one of them.

For teams

Sovereignty is a team policy, not a personal preference

On Scholarly Teams, admins set the model policy once and it applies to every seat — one bill, one shared source library, one set of rules.

  • Model access controls that apply to the whole team at once
  • Open-source models available to every seat
  • EU-hosted model options for European teams
  • Shared source libraries so everyone works from approved material
  • Activity and adoption reporting — no team credit wallet
  • Owner/Admin/Member roles with one central bill

Need every model hosted in the US or EU? Email hello@scholarly.so and we'll set your team up.

How it works

Sovereign AI in three steps

  1. 01

    Add your sources

    Upload the documents, decks, recordings, and notes your team runs on — they stay the ground truth for everything generated.

  2. 02

    Pick any model — or switch

    Choose per task across six labs. If a lab has an outage, retires a model, or blocks a use case, switch and keep working.

  3. 03

    Produce grounded artifacts

    Cited answers, Deep Research reports, videos, podcasts, decks, and quizzes — built from your sources, whichever model you choose.

FAQ

AI sovereignty, answered

What is AI sovereignty?

AI sovereignty means your organization — not one AI vendor — controls the models your work depends on: which companies' models you use, whether open-source models are an option, and where those models are hosted. Scholarly builds this in with models from six labs, open-source models from Mistral and DeepSeek, EU-hosted options, and US/EU-only hosting on request.

Why shouldn't we rely on a single AI model?

Because a single vendor is a single point of failure: outages stop your work, model deprecations force migrations, and policy or price changes arrive on someone else's schedule. Running models from six labs means you always have an alternative one click away — and you can use the best model for each task instead of one model for everything.

Does Scholarly offer open-source AI models?

Yes. Open models from Mistral (Large 3, Medium 3.5, Small 4) and DeepSeek (Deepseek Flash) are available alongside frontier models from OpenAI, Anthropic, Google, and xAI.

Can our AI stay in the EU?

Teams working under European data requirements can use EU-hosted models. If your organization needs every model hosted in the US or EU, contact hello@scholarly.so and we'll set that up for your Teams workspace.

Do our artifacts change when we switch models?

Every output stays grounded in your uploaded sources with citations, whichever model generates it. Teams that want consistency can have admins standardize on specific models for the whole workspace.

How do admins control which models the team uses?

Team admins set model access controls that apply to every seat at once. Premium for Teams includes Premium models; Laureate for Teams adds the Frontier models by name — and a stronger personal plan still wins.

Your documents. Your models. Your call.

Start free with the sources you already have, or set up a team with model controls in minutes.

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