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 BigML with a scoped API key and helps you run and evaluate LLM and AI infrastructure workloads, running 3 BigML actions for you like Create Model, Create Batch Prediction, and Create Source (Remote URL). Ask in plain English in Slack or Microsoft Teams; Viktor does the work in BigML 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 BigML and summarize the results.”
— you, in Slack or Teams
“Compare BigML's output on this prompt with what we use today.”
— you, in Slack or Teams
“Set up a daily job that queries BigML on new entries and reports back.”
— you, in Slack or Teams
“Watch BigML 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 BigML actions, runs the work, and reports back. No workflows to build.
Create a source with a provided remote URL that points to the data file that you want BigML to download for you.
Create a model based on a given source ID, dataset ID, or model ID.
Create a batch prediction given a Supervised Model ID and a Dataset ID.
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 BigML and summarize the results." "Compare BigML's output on this prompt with what we use today." Plain English, any tool.
Viktor opens BigML, 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 BigML AI agent is an AI that connects to your BigML account and completes work in it - it doesn't just answer questions about BigML, it takes the actions. Viktor is that agent: an AI employee that works in BigML 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 BigML actions, chains them with the other 3,200+ tools it connects to, and asks for approval before anything sensitive runs.
Machine Learning made beautifully simple. A company-wide platform that runs in any cloud or on-premises to operationalize Machine Learning in your organization.
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 BigML 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. BigML 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 BigML from Slack or Microsoft Teams - no workflow builder, no code.
Ask for outcomes that span tools — Viktor pulls from BigML, 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.
