Viktor
Viktor is an AI coworker that lives in Slack and Microsoft Teams, connects to 3,000+ tools, and executes work like reports, dashboards, code and campaigns for teams.
- Business Profile
- Founders & Team5 sources scanned
- Market Size10 sources scanned
- Competitor Research4 sources scanned
- Funding8 sources scanned
- Momentum5 sources scanned
- Customer Sentiment8 sources scanned
- AI Visibility
- Risks & Red Flagspublic record checked
Summary
Worth a closer lookViktor is positioning itself as a managed, Slack/Teams‑native AI coworker with an unusually broad connector footprint (3,000+ integrations) and turnkey execution capability (reports, dashboards, code, campaigns). The company just closed a $75M Series A led by Accel (May 19, 2026), reports roughly $15M ARR and ~2,000 organisations shortly after public launch, and carries strong signal through backers like Stewart Butterfield and Cal Henderson and Product Hunt sentiment (5.0/5). Its wedge is operational execution inside messaging — differentiated from DIY/open‑source alternatives (OpenClaw) and no‑code builders (Lindy AI) and from narrower assistants (Clawdi, Jared, Junior). The main tension is enterprise governance and observability: users praise speed but flag control, debugging and unexpected credit use, which could limit large‑customer adoption. First meeting should focus on retention/unit economics, integration depth/security, and the roadmap to address governance and auditability.
Bull case
- Closed a $75M Series A led by Accel on May 19, 2026, providing meaningful growth capital and third‑party validation.
- Reported ~USD 15M annualized revenue run rate and adoption by over 2,000 organisations shortly after public launch, evidencing fast commercial traction.
- Product is Slack/Teams‑native with 3,000+ integrations and strong user praise (Product Hunt 5.0/5) for its ability to execute complex team tasks end‑to‑end.
- High‑profile backers (Stewart Butterfield, Cal Henderson, Guillermo Rauch, Nat Friedman et al.) strengthen access to talent, distribution and enterprise credibility.
Watch-outs
- Crowded competitive landscape: managed coworker positioning must fend off DIY/open‑source (OpenClaw), no‑code builders (Lindy AI), and focused assistants (Clawdi, Jared, Junior) that appeal on price, privacy or niche functionality.
- Customer complaints about control/visibility, scheduling controls, unexpected credit use and limited debugging suggest governance, billing transparency and reliability gaps that could impede enterprise sales.
- SAM/SOM not quantified from available sources — addressable short‑term market and pricing sensitivity remain unclear, so unit economics (CAC:LTV) are unverified.
- Several specific product claims and company facts in public materials require independent confirmation before relying on them in diligence (integration depth, security/compliance posture).
Questions for the founder
- 1What are current net retention, logo churn and median ARR expansion metrics for customers acquired in the last 12 months?
- 2How many of the 3,000+ integrations are deep, two‑way enterprise connectors (vs. simple API/webhook/third‑party adapters)?
- 3What are CAC, payback period and LTV assumptions today, and how do they differ between self‑serve and enterprise sales motions?
- 4What security/compliance certifications (SOC 2, ISO, data residency) are in place or roadmap commitments for regulated customers?
- 5How will product changes address the reported control/visibility, billing/credit surprises, and debugging/auditability concerns for larger customers?
Company profile
Pricing
b2b_saas: 2 plans — Team ($50/month) and Enterprise (Custom pricing). Free trial: $100 in credits (no credit card). Team includes 20,000 credits/month and shared workspace credits; Enterprise adds invoicing, DPA/security review, SLA and dedicated onboarding.
Target segments
Key features
- Viktor
AI coworker that lives in Slack & Microsoft Teams — connects to 3,000+ tools to automate reports, dashboards, code, campaigns and scheduled tasks for teams.
Stats they publish
Testimonials
“Viktor is like Claude, but you can interact with him like with a colleague, not an LLM. He can run projects and scheduled tasks in the cloud, and everybody on the team can interact with it.”
Tobias Giesen · CEO, Growably“Mindblowing all-in-one AI which does everything in a single solution.”
Antonín Štětina · CEO, KULINA Group“Viktor is like the most capable all-round colleague you can imagine.”
Sam Kopelman · CEO, Givr“Viktor is like your virtual personal assistant who you don't have to manage as though you are their therapist if they got out of bed the wrong way. He just does the work and doesn't complain.”
Jacob Aldridge · Founder, Como Business Coaching“It's a proactive employee that learns what's important in your company and delivers without hesitation.”
Richard Comer · Owner, Flagship Financial“It's kind of blown my mind seeing what Viktor can actually do. I'm having real conversations with my business partner about investing in an AI tool - something we used to only think about when it came to hiring actual people.”
Boris Wexler · CEO, Space Dinosaurs
Social accounts
Compliance & certifications
Founders & Team
22- Fryderyk WiatrowskiFounderCEO & Co‑founder
- Peter AlbertFounderCTO & Co‑founder
- Stewart ButterfieldInvestor / Backer
- Cal HendersonInvestor / Backer
- Guillermo RauchInvestor / Backer
- Alex BouazizInvestor / Backer
- Koen BokInvestor / Backer
- Jorn van DijkInvestor / Backer
- Joel HellermarkInvestor / Backer
- Jack ZhangInvestor / Backer
- Shaan PuriInvestor / Backer
- Max MullenInvestor / Backer
- Lenny RachitskyInvestor / Backer
- Harry StebbingsInvestor / Backer
- Nico RosbergInvestor / Backer
- Charlie SonghurstInvestor / Backer
- Daniel GrossInvestor / Backer
- Nat FriedmanInvestor / Backer
- Mati StaniszewskiInvestor / Backer
- Victor RiparbelliInvestor / Backer
- Bartek PucekInvestor / Backer
- Shawn WangInvestor / Backer
Press coverage and Viktor's About page identify Fryderyk Wiatrowski (presented in press as CEO & co‑founder) and Peter Albert (presented as co‑founder / CTO) as the company leaders; the company lists a broad set of high‑profile backers and angels (Stewart Butterfield, Cal Henderson, Guillermo Rauch, Alex Bouaziz, Nat Friedman, Daniel Gross, etc.).
- The company About page does not list the founding team explicitly; founder/CEO/CTO roles are attributed in press coverage.
- Tracxn entries in the provided material refer to a different VIKTOR (Delft, founded 2017) and were ignored to avoid misattribution.
- Many listed names are investors/backers (not employees); roles for investors are shown as 'Investor / Backer' where the site or press lists them as backers/angels.
- No authoritative team page or headcount was available in the provided company pages; team size is therefore left blank.
Market Size
Published top-down estimates place the global "AI companion" / AI workplace software market in the tens of billions (Grand View: USD 36.79B in 2025; broader AI-in-workplace estimates rise much higher). A defensible bottom-up SAM could not be calculated because a reliable published count of target teams/workspaces (Slack/Teams customers that would buy a workspace-level AI coworker) was not available in the provided sources; therefore SAM and short-term SOM are left null.
- Grand View Research ↗USD 36.79 Billion (2025); USD 317.96 Billion (2033); CAGR 31.0% (2026-2033) · Global · 31% CAGR
- Market.us (AI in Workplace report) ↗USD 113.5 Billion (2023); USD 2,299.1 Billion (2033); CAGR 35.1% (2024-2033) · Global · 35.1% CAGR
- Viktor published pricing (annualised ACV per workspace)USD 50/month → USD 600/year per workspace (ACV)This company's pricing as provided in the brief: "Workspace-based paid plans: starts $50/month"
- Customer-count grounding not availableNo reliable, published global count of target 'teams' or eligible Slack/Teams workspaces (product/marketing/engineering/analytics teams that use many SaaS tools) was found in the provided sources — cannot construct a bottom-up SAM.
- The Grand View Research "AI companion" figure (TAM) includes consumer and non-enterprise applications as well as enterprise use cases; it is broader than Viktor's strict B2B SaaS subscriptions and should be treated as an upper-bound for the category Viktor addresses.
- The larger "AI in workplace" numbers (Market.us) cover hardware, services and a very broad set of enterprise AI use cases; they are not a pure software/SaaS subscription market and therefore are broader than Viktor’s immediate addressable software revenue.
- No reliable, published global count of eligible product/marketing/engineering/analytics teams or Slack/Teams workspaces (required for a grounded bottom-up SAM) was available in the provided material — therefore SAM and SOM are not estimated rather than guessed.
- Viktor's listed price ($50/month) was used to compute an implied ACV ($600) as an input assumption; pricing page detail (per-workspace vs per-user, volume discounts, enterprise plans) was not available and would materially change a bottom-up SAM.
- SOM is a scenario that requires bottom-up SAM plus competitive-share and traction inputs (customer counts, churn, conversion rates) — those inputs were not available in published sources, so SOM was not produced.
Competitors
Top 5Cluster: DIY/open-source and no-code/custom builder rivals plus messaging-first virtual assistants; Viktor sits in the managed, Slack/Teams-native AI coworker quadrant with the deepest prebuilt integrations.
- Jaredjaredfreid.com ↗Virtual employee automating tasks across Slack, Notion, GitHub and email; Viktor offers far broader (3,000+) integrations and turnkey Teams/Slack execution.
- Juniorjuniorlearning.com ↗AI-native employee platform running autonomous team agents; Viktor positions as a ready Slack/Teams coworker with wider business-task coverage and integrations.
- Lindy AIlindy.ai ↗No-code agent builder for team automation; Lindy sells customization, while Viktor provides plug-and-play coworker experience and deeper prebuilt integrations.
- Clawdiclawdi.ai ↗Virtual chief-of-staff operating across messaging for scheduling and coordination; Clawdi wins on calendar ops, Viktor on broad task execution and connectors.
- OpenClawopenclaw.ai ↗Self-hosted open-source autonomous agent across many messaging channels; OpenClaw appeals to DIY/privacy-focused teams, Viktor to managed, enterprise-scale integrations.
Funding
- Series A$75MMay 19, 2026Accel leadBek VenturesKaya VCInovo VCTenacity CapitalStewart ButterfieldCal HendersonVictor RiparbelliGuillermo RauchKoen BokJorn van DijkAlex BouazizJoel HellermarkJack ZhangShaan PuriMax MullenLenny RachitskyHarry Stebbingsexecutives from Google DeepMind, Figma, and ElevenLabsFortune ↗
Viktor disclosed a $75M Series A led by Accel (announced May 19, 2026) with participation from Bek Ventures, Kaya VC, Inovo VC, Tenacity Capital and a roster of angel/backer names; the only publicly reported capital raise found is this Series A (~$75M).
- Only one disclosed funding event (Series A, $75M) was found in the provided reporting; itemized early rounds or undisclosed financings may exist but were not reported in these sources.
- Different outlets list overlapping but not identical investor lists; several outlets mention 'existing investors' (e.g., Leonis Capital, Oxford Seed Fund, Nat Friedman, Daniel Gross, Charlie Songhurst, Nico Rosberg, Mati Staniszewski) who may not have participated in this specific Series A.
- EU-Startups reports the amount as €64.7 million (converted to $75M) — currency conversion is reported by sources rather than independently converted here.
- Crunchbase structured data lists 25 investors for the round; the exact participant roster and breakdown between institutional vs. angel checks varies by report and is not fully enumerated in a single source.
Momentum
- FundingMay 19, 2026Viktor raised $75M in a Series A led by AccelFortune ↗
- PressMay 29, 2026Viktor published a company post explaining how founders use an AI coworker for opsDistill Intelligence ↗
- PressMay 26, 2026Viktor compared its Slack-native AI to Zapier AgentsDistill Intelligence ↗
- MilestoneMay 19, 2026Company reported reaching a roughly $15M annualized revenue run rate and >2,000 organisations using the productFortune ↗
- LaunchFebruary 2026Viktor had a public product launch in February 2026 (company-reported)Fortune ↗
- PressMarch 3, 2026Company page/announcement: 'Viktor went public today' (product availability noted)Distill Intelligence ↗
Viktor showed rapid early commercial traction and a major fundraise in May 2026: the company closed a $75M Series A and reports roughly a $15M annualized revenue run rate with over 2,000 organisations shortly after public launch, alongside a string of company announcements in late May 2026.
- Coverage is concentrated in May 2026 and relies on press reports and company-published posts; several performance figures (ARR, customer counts) are company-reported via media coverage.
- Two different items reference the product becoming public around Feb–Mar 2026 (Fortune says 'public launch in February'; a Distill entry dated March 3 says 'Viktor went public today'), creating a minor date inconsistency on the launch month.
- There are unrelated entities named 'Viktor' (notably a footballer); only items explicitly about the AI coworker product/company were included.
Customer Sentiment
7- Proactive onboarding / watches Slack channelsViktor introduces itself quickly after installation and proactively suggests specific tasks it can take on by reading channel context.“When you first add Viktor to Slack, within an hour or so, he introduces himself.”Efficient App ↗
- Time savings and operational leverageCustomers say Viktor becomes a core part of operations and provides leverage that would otherwise require engineering resources.“Viktor has become a core part of how we run operations at UniTru, giving us leverage that would normally require engineering resources.”Product Hunt ↗
- Accurate execution — builds dashboards and diagnoses issuesUsers report Viktor can diagnose problems, build dashboards (e.g., in Posthog), add missing events, and complete requested tasks correctly on first attempts.“Blown away... first tool that did everything I asked it correctly the first time”Product Hunt ↗
- Fast adoption via Slack-native experienceTeams report rapid cross-function adoption because Viktor operates inside Slack, lowering the learning curve.“Our entire team adopted Viktor faster than any other tool we've ever introduced, and honestly, I've never seen anything quite like it.”Efficient App ↗
- Control and visibility over automated actionsReviewers request clearer insight into when and why Viktor takes actions to increase trust and scale usage.“The biggest opportunity for improvement is around control and visibility.”Product Hunt ↗
- Scheduling controls & credit consumptionUsers want more precise control over scheduled automations to avoid unexpected usage and credit consumption.“More precise control over when automations run, especially for scheduled tasks, would also help manage usage and avoid unexpected credit consumption.”Product Hunt ↗
- Debugging / error feedbackCustomers ask for better debugging tools and clearer error feedback to diagnose issues and build more reliable workflows.“Finally, improving debugging and error feedback would make it much easier to diagnose issues quickly and build more reliable systems.”Product Hunt ↗
Early users praise Viktor as a Slack-native, proactive AI coworker that saves time, provides operational leverage, and can reliably execute tasks (dashboards, diagnostics) with fast team adoption; common complaints focus on control/visibility, scheduling controls (and unexpected credit use), and limited debugging/error feedback.
- Public review volume is small (Product Hunt shows 4 reviews) and most detailed comments come from a few early adopters.
- Search results include many unrelated items named “Viktor” (films and reviews), creating noisy signals and requiring careful disambiguation.
- Not all referenced review platforms in the fetch contain explicit numeric scores or counts in the provided text, limiting cross-platform rating validation.
- Early-adopter reviews can be positively biased; absence of larger-scale G2/App Store aggregate scores in the provided text reduces confidence in representativeness.
AI Visibility
We ask ChatGPT WITH web search about the company and show its answers plus the sources it cited — the real AI-search experience. The key signal is share of voice: does the company come up when AI is asked about its space, not just when asked by name.
Models asked ChatGPT · web search
Accuracy of what AI said: Partly accurate — The assistant correctly describes Viktor's product positioning (an AI coworker in Slack/Teams that connects to many tools and executes work) but adds firm-level claims (founders, launch timing, $15M ARR, $75M Series A, HQ, team size) that are not present in the provided profile and should be independently verified.
Viktor.com is a technology company founded in 2023 by former Meta engineers Fryderyk Wiatrowski and Peter Albert. The company specializes in developing an AI coworker named Viktor, designed to integrate seamlessly into Slack and Microsoft Teams environments. Viktor connects with over 3,000 business tools, including Stripe, HubSpot, Google Ads, and GitHub, to perform tasks such as pulling reports, managing campaigns, building dashboards, researching leads, automating workflows, and writing code. This allows teams to delegate various operational tasks to Viktor, enhancing efficiency and productivity. (viktor.com)
Headquartered in Wilmington, Delaware, Viktor.com has a team size ranging from 11 to 50 employees. (linkedin.com) The company experienced rapid growth following the public launch of its product in February 2026, achieving $15 million in annual recurring revenue (ARR) within 10 weeks and serving over 2,000 companies worldwide. (forbes.pl)
In May 2026, Viktor.com secured $75 million in Series A funding led by Accel, marking one of the largest funding rounds for a Polish startup at that stage. The funding aims to accelerate the company's development and expand its reach to more organizations globally. (forbes.pl)
Customer feedback highlights Viktor's impact on business operations. For instance, a health and wellness company reported reducing a project budget from $12.5 million to $7.2 million with Viktor's assistance. Another user noted that Viktor added $133,752 in new recurring revenue within the first 30 days of use. (linkedin.com)
Overall, Viktor.com stands out for its innovative approach to integrating AI into workplace collaboration tools, enabling businesses to automate and streamline various tasks effectively.
Here are some notable companies and products in the AI coworker space:
- Orbit: Provides industry-specific AI coworkers for small firms, including Quill for family law, Atlas for property management, and Clover for insurance agencies. (meetorbit.ai)
- Atomicwork: Offers an AI-native IT Service Management (ITSM) and Enterprise Service Management (ESM) platform, enabling IT teams to deploy and govern AI coworkers efficiently. (atomicwork.com)
- Duet: An AI assistant for small business owners that drafts replies, conducts research, builds custom apps, and creates presentations across various communication platforms. (duet.so)
- Roster Works: Develops AI coworkers designed to assist operator-led teams by automating workflows, managing follow-ups, and freeing team members for higher-value tasks. (rosterworks.ai)
- Gooseworks: Provides AI agents with over 100 skills and APIs for growth and go-to-market strategies, integrating seamlessly with existing AI platforms. (gooseworks.ai)
- Viktor: An AI coworker that operates within Slack and Microsoft Teams, connecting to business tools to perform tasks like pulling reports, managing campaigns, and automating workflows. (getviktor.com)
- Coworker AI: Offers an AI orchestration platform that integrates with enterprise systems to provide contextual intelligence, turning scattered data into a cohesive company brain. (coworker.ai)
- Anthropic's Cowork: An enterprise platform built around the Claude AI model, featuring plugins that allow companies to customize AI agents for specific roles and workflows. (axios.com)
- Record: Provides AI coworkers for IT teams to handle tasks like ticket triage, access requests, and onboarding, allowing human teams to focus on more complex work. (getrecord.ai)
These companies are at the forefront of integrating AI into workplace environments, enhancing productivity and automating routine tasks.
In the rapidly evolving AI coworker space, several companies and products have emerged to enhance workplace productivity by integrating AI into daily operations. Here are some notable examples:
Workflow Engine | Komo Komos Komos offers an AI coworker that learns from observing your tasks. By demonstrating a task once, Komos creates an editable workflow that integrates with over 100 tools, including Salesforce, HubSpot, and Slack. This allows for automation of repetitive tasks across various platforms. (komos.ai)
Rodin - AI 3D模型生成工具，多个角度融合生成更精确的3D模型 | AI工具集 Rodin Rodin provides a human-agent operations platform where AI coworkers and human team members collaborate within a unified workspace. The platform emphasizes visibility, context-aware tasks, and governance, ensuring that AI agents operate alongside humans with clear accountability and traceability. (rodin.ai)
Google Launches Duet Generative AI Assistant for Workspace and Chat - Voicebot.ai Duet Duet serves as an always-on AI assistant tailored for small business owners. It assists with drafting replies, conducting research, building custom applications, and creating brand-specific materials across platforms like Slack, Telegram, email, and the web. (duet.so)
How AI Agents Support Modern HR Teams Roster Works Roster Works specializes in deploying AI coworkers designed to integrate seamlessly with existing teams. Their AI solutions focus on automating tasks such as lead sourcing, multichannel outreach, and brand collateral creation, thereby enhancing team capacity without increasing headcount. (rosterworks.ai)
VIKTOR.AI | Careers at VIKTOR Viktor Viktor is an AI coworker that connects to over 3,000 tools, delivering tangible outputs like reports, dashboards, code, and campaigns. It emphasizes real deliverables over mere text generation, aiming to function as a true hire rather than just a tool. (viktor.com)
These companies exemplify the diverse approaches to integrating AI coworkers into various business environments, each offering unique solutions to enhance productivity and streamline operations.
The AI surfaced Viktor unprompted in both category and recommendation lists (strong visibility). Its product description aligns with the provided profile, but several specific company facts in the direct answer require independent confirmation before being relied on in diligence.
- AI outputs can vary across runs and sources; the presence of Viktor in lists may reflect vendor SEO or press coverage rather than independent validation.
- Firm-level details (funding, ARR, founders, HQ) cited by the assistant should be confirmed from primary sources (press releases, company filings, investor announcements).
- Web search results sometimes conflate similarly named companies or regional reports; cross-check multiple reputable outlets when verifying financial or founding claims.
Risks & Red Flags
No material public risk signals found. An absence of public concerns isn’t a clean bill of health — early or private companies may simply not generate coverage.
An absence of public reports is not a clean bill of health; private or early-stage companies may have undisclosed issues that do not appear in public records.
No external news, regulator, court, or incident reports are publicly available; perform independent diligence (company disclosures, reference checks, and security / compliance audits) before investment.
Compiled by AlgoTurk from public web sources · . Not investment advice.