Superpal Raises €500K Pre‑Seed to Put an AI Coworker Inside Slack for Small Teams Who Cannot Afford to Hire One More Person
Vilnius‑based Superpal has raised €500,000 in a pre‑seed funding round led by FIRSTPICK, the Baltic venture capital firm that had been using the product as a pilot customer before writing the cheque. The announcement was made on June 18, 2026. The capital will be used to accelerate product development, deepen Slack integrations, and grow Superpal's customer base among small and mid‑sized teams across Europe and beyond.
The detail about FIRSTPICK being a pilot customer before becoming an investor is more than a warm story. It is the company's most credible commercial validation at this stage. When the lead investor in your pre‑seed round was running your product in production before they decided to back you, the argument that someone is paying for this and finding it useful becomes considerably harder to dismiss.
The Gap Superpal Is Filling
The AI workplace agent market moved quickly in 2025 and 2026 toward larger enterprises. Viktor, the Warsaw and Munich‑based AI coworker built for Slack and Microsoft Teams, raised $75 million in May 2026 after reaching a $15 million annual revenue run rate in roughly ten weeks, backed by investors including the co‑founders of Slack itself. Coworked, a US‑based AI project manager operating inside Slack, Jira, and email, raised $1.8 million in May 2026 targeting Fortune 500 customers. The category is real, the demand is validated, and the investment is flowing.
But most of those companies are, by design, going upstream. Viktor targets organisations large enough to justify a sales cycle. Coworked is explicitly Fortune 500 focused. The segment that is being underserved, and that Superpal is specifically designed for, is the company with five to fifty people. A team of twelve at a fast‑growing agency. A startup of twenty people where every person is already doing the job of two. A consultancy of thirty that would genuinely benefit from a capable extra pair of hands on data compilation, presentation preparation, and meeting follow‑ups, but cannot justify the time, cost, or complexity of an enterprise AI deployment.
These organisations are too small to run a proper AI procurement process. They are too small to have a dedicated automation team. And they are precisely the organisations for which paying for one more headcount, even a junior one, is a significant decision. Superpal's pitch to them is simple: hire an AI coworker the same way you add someone to a Slack workspace, in minutes, without technical configuration, and delegate work to it the way you would to a junior colleague.
How the Product Works
Superpal installs directly into a Slack workspace in a single click. Once installed, it operates as a full participant in the workspace, with its own identity, its own access to connected tools, and the ability to receive task assignments through any Slack channel or direct message. A user types what they need and Superpal does the work end to end.
The range of tasks the platform handles reflects the breadth of what a capable junior or mid‑level hire would cover. Superpal can compile data from multiple sources and return a finished report. It can draft a client‑facing presentation with content drawn from existing files, prior meeting transcripts, and live web research. It can write meeting notes and summaries, manage email outreach with its own connected email address, follow up on leads in a CRM, book meetings, and maintain cloud‑based file organisation. It does not return suggestions and wait for human execution. It performs the task and returns the finished output.
The technical foundation for this breadth is a library of approximately 1,000 third‑party tool integrations. Superpal connects to the systems a team already uses, including CRM platforms, project management tools, cloud storage, calendar applications, email, and marketing platforms, and draws on all of them simultaneously when executing a task. A request to prepare a client update draws on the CRM for relationship history, the project management tool for current status, the cloud storage for relevant files, and the calendar for meeting context. The finished output reflects all of that without the user needing to open a single one of those applications.
The company has deliberately targeted the task layer rather than the advice layer. Its website says directly: it does not give advice. It does the work. That distinction separates Superpal from the generation of AI copilots and assistants that surface recommendations and leave execution to the human. For a five‑to‑fifty person team where everyone is already operating at capacity, a tool that completes work rather than suggesting how to complete it is categorically more valuable.
A Market Crowded at the Top, Wide Open at the Bottom
The competitive context for Superpal is a category that is attracting significant capital but concentrating it at the enterprise end. Viktor at $75 million and the Slack co‑founders as angels. Microsoft Copilot deepening its integration across the Microsoft 365 enterprise estate. Anthropic's Claude for Teams expanding into workplace workflows. Google's NotebookLM and Gemini for Workspace targeting mid‑market and enterprise accounts.
None of those products have deliberately built for the five‑to‑fifty person segment. The unit economics of enterprise AI sales favour larger accounts. The product complexity of many AI workplace platforms assumes an IT team capable of configuration and governance. The pricing models of most AI workplace tools assume a budget allocation process that does not exist in a twelve‑person startup.
Superpal's entire product and go‑to‑market strategy is built around the opposite set of constraints. The one‑click Slack install removes configuration friction entirely. The per‑seat pricing at the small team scale needs to be low enough to be a no‑decision purchase. The product needs to produce visible, tangible output within the first session, because a small team does not have the patience or the internal champion structure to run a multi‑week evaluation process. These constraints make the small team segment genuinely hard to serve well, and that difficulty is why larger companies have not prioritised it. For Superpal, that difficulty is the market opportunity.
FIRSTPICK and the Baltic Ecosystem
FIRSTPICK is one of the most active early‑stage investors in the Baltic technology ecosystem, with a portfolio that reflects the region's growing strength in developer tools, fintech, and B2B software. Its decision to lead Superpal's pre‑seed is consistent with a thesis that the productivity AI category will produce a long tail of viable, capital‑efficient businesses serving the SMB segment, not just a handful of well‑capitalised enterprise platforms.
The Baltic startup ecosystem, anchored in Tallinn and Vilnius, has produced a number of notable B2B software companies, including Pipedrive, the CRM platform acquired by private equity and expanded globally, and Vinted, the fashion resale marketplace. Superpal fits the regional pattern: a founder team with clear product thinking, a specific and underserved target customer, and a willingness to build a capital‑efficient business before raising a larger round.
Key facts about the round and company:
- Pre‑seed round: €500,000
- Lead investor: FIRSTPICK (Baltic venture capital fund, previously a pilot customer)
- Founded: Vilnius, Lithuania
- Product: AI coworker embedded natively inside Slack
- Tool integrations: approximately 1,000 third‑party connections
- Target customer: teams of 5 to 50 people
- Onboarding: one‑click Slack install, no technical configuration required
- Deliverables: reports, presentations, meeting notes, email outreach, CRM follow‑up, file management
The €500,000 pre‑seed is not the kind of raise that generates headlines in a week when Cursor sells for $60 billion and DeepSeek raises $7.4 billion. But what Superpal is attempting, a genuinely useful AI coworker that a ten‑person team can install in five minutes and trust to complete real work, is harder to build than the funding size suggests and potentially more valuable to more businesses than the enterprise platforms getting the larger cheques. The test of the thesis is whether small teams will treat Superpal as a hire rather than a tool. If they do, the conversion from pilot to paid customer becomes the same decision as whether to bring on another person, and that is a very different and very powerful frame for a software company to occupy.
