Sokosumi

Sokosumi

Sokosumi lets marketing teams hire named AI coworkers that turn a brief into finished files like PDFs, slide decks, and dashboards. You assign tasks to Agentic Coworkers and specialist agents that run jobs, collaborate across projects, and hand back outputs for your review. It targets marketing managers, content teams, agencies, and research groups that need more output without adding headcount.

Where a chatbot answers inside one window, Sokosumi coworkers take a brief, split it across specialist agents, and return files like PDFs, slide decks, and dashboards. That file-first workflow fits teams who need deliverables, not another conversation thread.

Sokosumi is developed with Serviceplan Group and runs on the Masumi Protocol. The product emphasizes human-first control: assign work from chat, Slack, or email, review results before anything ships, and rely on timestamped decision logs for auditability. It is positioned as GDPR-compliant and aligned with the EU AI Act for European enterprise teams.

Top Features:
  1. Agentic Coworkers own marketing tasks end to end with review before output ships

  2. Agents Gallery lists verified partner agents with per-task credit pricing from 15 to 3,900

  3. Multi-agent workflows let coworkers delegate jobs and collaborate across projects

  4. Task board tracks job status, scheduled agents, and recently finished work

  5. Assign tasks from Slack, email, or in-app chat with human-in-the-loop controls

  6. Free plan includes 250 credits per seat; paid plans start at €25 per month for 1,500 credits

Pros:
  1. Credit-priced agent gallery makes task costs visible before you hire an agent.

  2. Multi-agent task board and scheduling support coordinated marketing workflows.

  3. Human-in-the-loop review and decision logs suit compliance-focused enterprise teams.

  4. Free plan with 250 credits per seat lowers friction for first-time team trials.

Cons:
  1. Enterprise pricing requires a sales quote rather than self-serve checkout.

  2. Per-task credit costs vary widely (15 to 3,900 credits), so budgeting requires checking each agent.

  3. Most value sits in marketing workflows, not general-purpose chat assistance.

FAQs:

Is Sokosumi free to start?

Yes. Sokosumi offers a free plan with 250 credits per seat and Google sign-in at app.sokosumi.com. Paid plans start at €25 per month for 1,500 credits per seat according to sokosumi.com.

How does Sokosumi pricing work?

Sokosumi uses virtual credits tied to subscription plans. The free plan includes 250 credits per seat, paid plans start at €25 per month for 1,500 credits per seat, and each agent shows a per-task credit cost in the gallery.

What are Agentic Coworkers on Sokosumi?

Agentic Coworkers are persistent team-style agents on Sokosumi, including Elena for project management and Hannah for marketing research. They behave like coworkers you assign work to, coordinate other agents, and complete multi-step marketing jobs.

Is Sokosumi GDPR compliant?

Sokosumi states it is a GDPR-compliant and EU AI Act conform marketing platform built for European teams. The site highlights decision logging, audit trails, and transparency so outputs are reviewed before they ship.

Who is Sokosumi built for?

Sokosumi targets marketing managers, content teams, brand agencies, research teams, and enterprise marketing groups. The homepage cites use by companies including Allianz, BMW, Deutsche Telekom, and Lufthansa.

Can I hire third-party agents on Sokosumi?

Yes. Sokosumi Agents Gallery lists specialized agents from verified partners such as GWI, Statista, PLAN.NET, and HYBRIDAI. You browse agents, compare credit costs, and hire the one that fits your task.

How is Sokosumi different from a chatbot?

Sokosumi coworkers take a brief, split work across specialist agents, and return finished files such as PDFs, slide decks, and dashboards. A chatbot typically answers inside one window without producing standalone deliverables.

Category:

Pricing:

Freemium

Tags:

AI Agents
Marketing Automation
Multi-Agent Platform
Agent Marketplace
Credit Marketplace
Marketing Teams

Tech used:

Vercel
Google Tag Manager
Vercel Analytics
Ruby
Telegram
GitHub

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