AI Learning Platform for Teams: One Workspace for Your Whole Group

What an AI learning platform for teams actually is

An AI learning platform for teams is a single shared workspace where a whole group — a study group, a class, a research lab, a training cohort, a department — brings its own materials and turns them into answers, practice, and finished work together.

The important word there is own. A useful AI study tool for teams doesn't invent facts or pull from some generic model of the world. It reads what your group actually gave it — the lecture PDFs, the recorded sessions, the meeting notes, the slide decks, the textbooks, the reference sites — and works only from that. On Scholarly, every answer is cited back to the source it came from, so anyone on the team can check the claim against the original.

From that shared pile of material, a team can generate the things it actually needs: flashcards and quizzes for exam prep, full practice exams, study guides and notes, podcasts and AI video lectures to learn on the go, AI slides for presentations, Deep Research reports that pull threads across many documents, and AI Meeting Notes that turn a recorded session into a clean, searchable record. All of it is built from the group's own material, and all of it is available to every member.

Why per-person subscriptions break down for groups

Most AI study tools are priced and built for one person. That's fine until you try to run a group on them, and then the cracks show up fast.

Everyone hits a different wall. One teammate is on the free tier and keeps bumping into upgrade prompts mid-task. Another paid out of pocket and is quietly expensing it. A third has the paid plan but a different feature set because they signed up during a different promotion. When you're trying to prep for the same exam or ship the same project, mismatched access is a constant, low-grade tax on the group.

Materials get siloed. If each person has their own separate account, the source library lives in each person's account. The best flashcard deck someone built, the study guide that finally made a hard chapter click, the Deep Research report that mapped out the whole topic — they're stranded in one login. The group re-does work it already did.

Billing is a mess. Five people means five separate cards, five separate receipts, and five separate renewal dates to chase down for reimbursement. There's no single view of what the group is spending or who's actually using it.

There's no admin. Nobody can see usage across the group, set sensible limits, or control which AI models the team leans on. For a class, a lab, or an organization, that lack of control is usually a non-starter.

Per-person subscriptions optimize for one person's convenience. A group needs the opposite: shared access, shared materials, and one place to manage all of it.

How Scholarly Teams solves it

Scholarly Teams is the Enterprise version of Scholarly built for exactly this. It puts your whole group on one plan and fixes every one of the problems above.

One plan, every feature unlocked

When someone accepts their invite, every paid Scholarly feature turns on for them automatically — flashcards, quizzes, practice exams, notes, study guides, podcasts, AI video lectures, AI slides, Deep Research, and AI Meeting Notes. There are no per-person paywalls and no upgrade prompts interrupting anyone's work. The whole team is on the same footing from the moment they join, working from the same materials.

Frontier AI models

Teams unlock the top tier of AI models that we reserve for Enterprise — Opus 4.8, Fable 5, Sonnet 5, and GPT-5.5 — across every feature that uses AI. These are the most capable models we offer. Admins choose which model tiers the team is allowed to use, so you can tune the balance between raw capability and cost for how your group actually works.

Per-member weekly credits — your own, not a shared pool

Teams run on weekly AI credits, and the model is deliberately simple: every member gets their own 450 credits per week. Credits are per person, not a shared pool, so one teammate's heavy week never eats into anyone else's, and everyone starts fresh every week.

Credit costs track the real cost of the work. A quick chat message is about one credit; a full AI video lecture is around 25. Because the allotment is per member and resets weekly, the whole team can lean on the good models without one person's crunch week draining the group.

Shared libraries and admin controls

Everything a group needs to run itself lives in one place:

• Invite by email or link, with Member and Admin roles.
• Shared source libraries, so the team studies and works from the same materials instead of re-uploading the same PDFs into five separate accounts.
• Team-wide model access controls that apply to every member at once.
• One central Stripe bill — no more chasing five receipts and five renewal dates.
• Per-member usage broken down by feature and model, so admins can see exactly where the team's AI credits are going.

That combination is the whole point: shared access, shared materials, and one place to manage it, instead of a scatter of individual subscriptions.

Built from your team's own material — not engagement loops

It's worth being direct about what Scholarly is and isn't. We don't win on streaks, badges, notifications, or gamified habit loops. The entire value proposition is that the tools are genuinely good and genuinely correct on your group's real material.

That matters most for a team, because a team is producing shared work that other people rely on. When a study guide, a practice exam, or a Deep Research report is going to be used by the whole group, it has to be grounded and checkable — not a plausible-sounding hallucination. Every answer on Scholarly is cited back to the source document, so anyone can verify it.

We also build for understanding over rote memorization. The quizzes and practice exams your team generates are meant to test whether people grasp the concepts and how they connect — not whether they can recall an arbitrary number from page 40. For a group learning or working together, understanding is the thing that actually transfers.

Pricing and getting started

Scholarly Teams is $45 per seat / month, or $324 per seat / year — a 40% saving over monthly. Teams start at 3 seats and are self-serve up to 29 seats, so most groups can set themselves up in a few minutes without talking to anyone. If you need more seats, or you're a school, a district, or an organization that needs invoicing, email us at hello@scholarly.so and we'll get you set up.

To start a team, sign up and choose My team or business, set your seats, and invite your people. Every member gets every feature, the frontier models, and their own weekly credits from the moment they accept — all working from your team's own material. You can compare tiers on the pricing page, and everything above lives on one page at Scholarly for Teams.

If your group is tired of five separate subscriptions, siloed materials, and mismatched access, this is the fix: one workspace, every feature, built from the material you already have.