Mio vs Stilla: Which AI Teammate Fits Your Team? (2026)

The short answer

Mio and Stilla belong to the same emerging category: a shared AI teammate that joins the tools where company work happens. This is not a comparison between a chatbot and an automation builder. The products overlap substantially, so the decision should come down to work surface, workflow focus, control model, and the quality of the context each one returns for your own team.

This comparison uses the public Stilla product and pricing page and Mio's live product, pricing, and security pages as checked on 12 August 2026. Features and prices can change, so verify the linked pages before buying.

Mio vs Stilla at a glance

Where Mio is the better fit

Choose Mio when Slack is the shared operating surface and the first jobs are synthesis-heavy: a morning brief, meeting preparation, a weekly leadership update, CRM reporting, project status, or a source-linked answer about the company. Mio is built around one teammate the company shares rather than a collection of individual chat sessions.

The clearest differentiator is focus. Mio's public product is organized around company context and recurring operational outputs. You mention @mio in Slack, connect the tools the team already uses, and ask for a brief, report, answer, draft, or action. Sensitive actions wait for approval, and the work comes back into the same conversation.

• Your team runs primarily in Slack.
• The first use cases are meeting prep, daily briefs, weekly recaps, leadership reporting, CRM updates, or company Q&A.
• You want one shared coworker rather than a broad desktop assistant.
• Approval before sensitive action is a required default.
• You want to start without a sales call or credit card.

Where Stilla is the better fit

Choose Stilla when the team needs a wider set of work surfaces. Stilla publicly supports Microsoft Teams and a desktop app alongside Slack, and it emphasizes direct work in GitHub and Linear. Its current Team plan also lists a coding agent, sandboxed computer, AI meeting notes, shared memory, and an MCP server.

That makes Stilla the more obvious shortlist choice for a mixed Slack-and-Teams organization, a product and engineering team that wants the agent present directly in developer tools, or a buyer who wants meeting capture and follow-through in one product. Those are meaningful advantages, not edge cases.

• Your organization works across Slack and Microsoft Teams.
• Native meeting notes and action extraction are part of the purchase.
• Product and engineering work in GitHub and Linear is the center of the rollout.
• A desktop app or sandboxed computer is required.
• You want a published flat Team entry price rather than a credit-first evaluation.

The comparison that matters: context quality

Both companies claim shared memory and connected context. That is not enough to pick one. Context quality has to be tested against your own work. Give both products a question whose answer is split across a Slack decision, a Linear update, a CRM note, and a document. Then inspect the result.

A polished answer with the wrong source is worse than a short answer that names the gap. The winning product is the one your team trusts after checking the evidence, not the one with the longest integrations page.

A fair two-week evaluation

Do not compare generic demos. Pick three real workflows and run the same acceptance test in both products for two weeks.

• Company answer: ask a question whose truth is distributed across at least three connected sources.
• Recurring brief: generate the same weekly update twice and measure missing, noisy, and unsupported items.
• Controlled action: draft a CRM update or follow-up, then inspect the approval step and action log.

Score setup time, source accuracy, usefulness without editing, approval clarity, and weekly active use by the intended team. If employees still copy context into a separate chat window, the product has not solved the shared-context problem. If the output needs a complete rewrite, the automation is only moving the busywork around.

Recommendation

Pick Mio for a Slack-first company that wants a focused AI coworker for shared company context and recurring operational workflows. Pick Stilla for a team that needs broader surfaces, especially Microsoft Teams, native meeting notes, desktop work, or an engineering-heavy agent experience. If both descriptions fit, run the same three-workflow test and choose based on evidence quality and adoption.

Mio is free to start with $50 in credit and no card. Try Mio in Slack and use the evaluation above on work your team already has to do this week.

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