Connect your stack
27 native integrations. 3,200+ tools via managed connectors. Most are one-click OAuth, some use API keys - Viktor handles auth and starts working. No webhooks, no Zapier zaps.
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Viktor is an AI employee that connects to Hugging Face with a scoped API key and helps you run and evaluate LLM and AI infrastructure workloads, running 6 Hugging Face actions for you like Object Detection, Text Summarization, and Text Classification. Ask in plain English in Slack or Microsoft Teams; Viktor does the work in Hugging Face and reports back. Setup takes about two minutes.
Free to start · No credit card · SOC 2 Type 1 · Works in Slack & Microsoft Teams
Messages you'd actually send. Paste one into Slack or Microsoft Teams, swap in your specifics, and Viktor takes it from there.
“Run this batch of documents through Hugging Face and summarize the results.”
— you, in Slack or Teams
“Compare Hugging Face's output on this prompt with what we use today.”
— you, in Slack or Teams
“Set up a daily job that queries Hugging Face on new entries and reports back.”
— you, in Slack or Teams
“Watch Hugging Face for a cost or latency spike and alert me with the likely cause.”
— you, in Slack or Teams
Ask in plain English in Slack or Microsoft Teams. Viktor picks the right Hugging Face actions, runs the work, and reports back. No workflows to build.
This task is well known to summarize longer text into shorter text. Be careful, some models have a maximum length of input. That means that the summary cannot handle full books for instance. Be careful when choosing your model.
Usually used for sentiment-analysis this will output the likelihood of classes of an input. This action allows you to classify text into categories.
This task reads some image input and outputs the likelihood of classes and bounding boxes of detected objects.
This task is well known to translate text from one language to another.
This task reads some image input and outputs the likelihood of classes. This action allows you to classify images into categories.
Want to have a nice know-it-all bot that can answer any question?. This action allows you to ask a question and get an answer from a trained model.
27 native integrations. 3,200+ tools via managed connectors. Most are one-click OAuth, some use API keys - Viktor handles auth and starts working. No webhooks, no Zapier zaps.
Message Viktor in Slack like you'd message a teammate. "Run this batch of documents through Hugging Face and summarize the results." "Compare Hugging Face's output on this prompt with what we use today." Plain English, any tool.
Viktor opens Hugging Face, runs the work, and posts back what changed. Sensitive actions wait for your approval. Everything is logged. You stop doing the work and start reviewing it.
A Hugging Face AI agent is an AI that connects to your Hugging Face account and completes work in it - it doesn't just answer questions about Hugging Face, it takes the actions. Viktor is that agent: an AI employee that works in Hugging Face on your behalf and delivers the finished result in Slack or Microsoft Teams.
Unlike workflow builders such as Zapier or Make, there is nothing to configure - no triggers to map, no workflows to maintain. You describe the outcome in plain English, and Viktor picks the right Hugging Face actions, chains them with the other 3,200+ tools it connects to, and asks for approval before anything sensitive runs.
Build, train and deploy state of the art models powered by the reference open source in machine learning.
Scoped API keys - Viktor stores your key securely, uses only the scopes you grant, and you can revoke it at any time.
Review-first approvals: sensitive Hugging Face actions wait for your sign-off before they run.
Isolated compute per team, encrypted in transit and at rest - and your data is never used to train models.
SOC 2 Type 1 compliant, with Type 2 and ISO 27001 in progress.
Yes. Hugging Face is one of the 3,200+ tools Viktor connects to, via a managed connector. Once connected, anyone on your team can put Viktor to work in Hugging Face from Slack or Microsoft Teams - no workflow builder, no code.
Ask for outcomes that span tools — Viktor pulls from Hugging Face, cross-references the rest of your stack, and delivers one finished result.
Viktor connects to 3,200+ tools and works across them in a single run.
