WorkLLM is a shared AI workspace that gives a team access to more than 200 language models — GPT, Claude, Gemini, Llama, Mistral, and others — from one interface, plus org-wide memory so the AI already knows a company’s products, clients, and past work before anyone types a prompt. It’s positioned as an alternative to Slack, Notion, and Microsoft Teams for where AI work actually happens.
WorkLLM is free to start for small teams, with paid plans beginning at $20 per user per month for Basic ($18 with annual billing) and scaling up through Pro and Enterprise.
What is WorkLLM?
WorkLLM is a very young company: founded February 6, 2026, based in Toronto, pre-seed funded, and still a team of one to ten people. That matters for how to read this review — it’s an early-stage product rather than an established vendor, and its track record is still being built.
The problem it’s trying to solve is a familiar one: offloading daily work to AI usually stalls at setup — picking the right model, writing a system prompt, re-explaining context every session. WorkLLM’s answer is one interface across 200+ models with persistent organization, project, and individual memory, so a team doesn’t start from zero with every new thread.
It’s positioned against Slack, Notion, and Microsoft Teams for where AI-assisted work happens day to day, and integrates with Figma, Gmail, Jira, Notion, and MCP to pull outputs into tools teams already use.
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Key features
One interface, 200+ models
Run GPT, Claude, Gemini, Llama, Mistral, and dozens more from a single place, and send the same prompt to several models at once to compare answers before acting. Models can be filtered by task type, cost, or strength.
Threads teams actually share
Co-prompt with teammates in shared AI threads instead of working in separate tabs, comment and tag colleagues on any AI response, and share outputs directly in the thread rather than copying and pasting between apps.
Memory that persists
Organization-wide memory stores company knowledge and past work; project and folder memory keeps context specific to a workflow; individual memory personalizes responses per teammate; and thread memory lets you pick up a conversation mid-project without re-explaining the background.
Purpose-built agents (Pro and up)
Knowledge-based, task-based, and workflow agents are ready to use without prompting from scratch, with custom agents groundable in company policies and documents, plus role-based permissions and audit logs controlling who can run or build them.
Plans and pricing
WorkLLM’s plans share the same core model access; the main differences are AI credits, seat limits, and whether agents are unlocked.
| Plan | Price | Billing | Key features |
|---|---|---|---|
| Free | $0 | — | Up to 6 users, 200 pooled AI credits/user/month, all 200+ models, org memory, RBAC, audit logs |
| Basic | $20/user/month | $18/user/month billed annually | Unlimited users, 2,000 pooled AI credits/user/month, everything in Free |
| Pro | $30/user/month | $27/user/month billed annually | Unlimited users, 3,000 pooled AI credits/user/month, knowledge/task/workflow agents, priority support |
| Enterprise | Custom pricing | Annual | Everything in Pro plus SSO (SAML/OAuth), SCIM provisioning, advanced compliance reporting, private deployment, dedicated onboarding |
Who it’s best for — and who should skip it
WorkLLM suits small teams, marketers, and remote teams who want one AI subscription replacing several separate model subscriptions, especially ones that will actually use shared threads and org memory rather than working solo.
Skip it if you want a single, simple chat window — the feature set itself is dense — or if you need a vendor with years of track record behind it. This is an eight-month-old, pre-seed company still building out its review base.
What users are saying
Early feedback highlights the breadth of models and the ability to compare them side by side, plus a “robust” organization-wide memory, as the standout strengths, while flagging credit usage and platform complexity as the main friction points.
One buyer, a university language-education lecturer, says they use WorkLLM daily for lesson preparation, worksheets, and research. Another reviewer called the credit usage reasonable and the results promising, but said the feature set is dense enough that it needs onboarding videos and documentation, plus a visible product roadmap. Co-founder Dhimant Bhundia answered directly, acknowledging the complexity, committing to video guides and expanded docs, and noting a feature request to merge multi-model responses for a future update.
Price and value
WorkLLM’s Free plan is a genuinely usable way to test the workspace before paying, and Basic at $20/user/month only needs to replace a couple of separate AI subscriptions to pay for itself, given that 200+ models would otherwise mean several separate bills. The catch is that agents only unlock on Pro at $30/user/month, so teams who want the pre-built sales, marketing, or HR agents should budget for that tier rather than Basic.
Given the company is barely eight months old, this is a newer bet than some of the more established tools in this category — the Free plan is the practical way to validate fit before rolling it out to a full team.
Verdict
WorkLLM’s pitch — one AI workspace instead of five subscriptions, with memory that actually persists across threads — is genuinely useful, and the Free plan makes it easy to test that promise before committing a team’s budget to it.
Frequently asked questions
WorkLLM has a free plan for up to 6 users, then Basic at $20/user/month ($18 annually), Pro at $30/user/month ($27 annually), and custom Enterprise pricing.
Yes. The Free plan supports up to 6 users with 200 pooled AI credits per user each month and access to all 200+ models.
WorkLLM doesn't publish a standalone refund policy on its pricing page u2014 confirm current terms with the vendor before subscribing a team.
The vendor advertises more than 200 models, including GPT, Claude, Gemini, Llama, and Mistral, accessible from a single interface.
Only from the Pro plan upward. Free and Basic cover AI chat, multi-model access, and organization memory but not the purpose-built agents.
It integrates with Notion, Gmail, Jira, Figma, and MCP, and is positioned as an alternative to Slack and Microsoft Teams rather than an add-on to them.
Yes. It was founded in February 2026 in Toronto and is pre-seed funded, which is worth weighing given how new the company still is.
A single model subscription locks you into one provider; WorkLLM's draw is switching between 200+ models and comparing several at once from a shared workspace with persistent team memory.
