The self-hosted AI assistant. Your server. Your data. Your AI.
Every enterprise AI product asks you to trust them with your data. Webly by Webuters asks you to trust yourself. It runs on your infrastructure — single-tenant, always — so your data never touches a third-party cloud.
What self-hosted means with Webly
What self-hosted means in practice
Webly deploys on one Linux VM in your AWS, Azure, or GCP account, or on an on-premise server. There is no shared environment and no multi-tenant cloud: your Webly instance is yours alone. Prompts, answers, documents, and logs stay inside your network perimeter — which is why self-hosted AI is the default choice for banking, healthcare, and any organization with data-residency obligations.
On-premise AI without the maintenance burden
Self-hosting usually means an engineering project. Webly is a product: single process, self-contained database, auto-healing, health-monitored, deployed in under two hours. One VM handles hundreds of concurrent users.
Bring your own model
Webly is model-agnostic: run Claude, GPT, DeepSeek, Azure OpenAI, or a custom model — including fully local models for air-gapped environments. Choose for capability, cost, or privacy, and switch without changing anything else. No vendor lock-in.
Private AI vs. cloud copilots
Cloud copilots process your questions and data on their infrastructure under their terms. A private AI assistant inverts that: the models, the data connectors, and the audit logs all run where you can see them. For regulated industries, that difference is the entire security review.
More of Webly
Webly overview
What Webly is, how it works, and how it compares.
ExploreIntegrations
CRM, ERP, HR, accounting, projects, documents, meetings.
ExploreChannels
Teams, Slack, WhatsApp, Telegram, and email.
ExploreUse cases
By role and by industry — what teams do with Webly daily.
ExploreSecurity & governance
Role-based access, policy gates, tamper-evident audit trail.
ExploreYour team switches between 8 portals a day. What if it was zero?
See your own systems answering questions in Teams or Slack — live, in 15 minutes.
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