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Analysis
AddedMay 19, 2026
UpdatedJun 26, 2026
Viktor

Viktor

AI coworker in Slack and Teams that connects to 3,000+ tools and does real work.

HQ
Warsaw, PL
Founded
2023
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Overview
Analysis
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Fundraising
Employees
News
Website
Revenue Estimate
$15M
Profitability
unprofitable

Contents

  1. 01Executive Summary
  2. 02Products & Services
  3. 03Competitive Strengths
  1. 01Executive Summary
  2. 02Products & Services
  3. 03Competitive Strengths

Memo

Viktor is an early-stage AI agent company with a focused engineering team and a narrow product mission. Its valuation and revenue growth trajectory have attracted significant venture capital interest, and the business is positioned to expand through team growth and enterprise adoption.

The company has reported traction with thousands of teams on Slack and Microsoft Teams, and its Series A funding provides capital to scale operations and product development. The competitive environment includes other AI coworker tools, but Viktor's broad integration ecosystem and native chat platform presence are positioning strengths.

Product Overview

Viktor delivers an AI employee that operates inside Slack and Microsoft Teams, where staff assign work by mentioning it in a channel. It connects to more than 3,000 business tools and produces finished outputs such as reports, dashboards, spreadsheets, and code changes.

The product covers recurring operational work across functions, including revenue reporting, employee onboarding, invoice reconciliation, advertising optimization, customer support triage, and engineering incident response. It can run scheduled jobs automatically and adapts to a team's workflows over time.

Competitive Advantages

Viktor positions itself as an autonomous worker rather than an assistant, executing multi-step tasks end to end inside the chat tools teams already use. Its breadth of integrations across more than 3,000 tools lets it act across many business systems without separate dashboards.

The company reports adoption across tens of thousands of teams and revenue scale at the time of its Series A, signaling commercial traction. Its founding team draws on engineering experience from Meta, Google, and Oxford.