Sold by: ibl.ai
The ownable, open-source Agentic AI Operating System you deploy on your own infrastructure. Build, deploy, and manage intelligent AI agents from prototype to production, in minutes.
Overview
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ibl.ai/os LLM Configuration
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ibl.ai/os Voice
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ibl.ai/os MCP
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An Ownable Agentic AI Operating System
ibl.ai/os is an open-source Agentic AI Operating System you deploy on your own infrastructure with full source-code and data ownership. Build, deploy, and manage intelligent AI agents from prototype to production, in minutes. It is the AI foundation your organization owns, not rents.
Run Anywhere, on Any Model
- One codebase runs everywhere across web, macOS, Windows, iOS, Android, and Linux.
- Run any LLM (OpenAI, Anthropic, Google, Meta Llama, Mistral, or your own) and switch anytime; no vendor lock-in.
- Deploy in your cloud, VPC, on-premise, or air-gapped.
Build Powerful Agents
- Assemble agents with configurable models, tools, and safety filters.
- Add Projects, Canvas/Artifacts, MCP servers, RAG on your own data, web search, Deep Research, and real-time voice.
- Go from prototype to a working, governed agent in minutes.
Enterprise-Ready
- Multi-tenancy and SSO/RBAC (OAuth, OIDC, SAML).
- Usage-based credit billing that scales with usage, not seats.
- Embed mode, custom domains, and full whitelabeling.
- SOC 2 Type 2. MIT-licensed.
Why ibl.ai/os
- Full ownership of your source code and data on your own infrastructure.
- No vendor lock-in: LLM-agnostic and open-source.
- Predictable economics: credit-based pricing that scales with usage, not headcount.
- Runs where you do: your cloud, VPC, on-premise, or air-gapped. Your keys, your control.
Source: github.com/iblai/os App: os.ibl.ai Docs: ibl.ai/docs Pricing: ibl.ai/pricing
Experience ibl.ai/os today.
Highlights
- Deploy on Your Own Infrastructure: An open-source Agentic AI Operating System you run in your cloud, VPC, on-premise, or air-gapped with full source-code and data ownership. Build, deploy, and manage intelligent AI agents from prototype to production in minutes.
- Any Model, No Vendor Lock-In: Run any LLM from OpenAI, Anthropic, Google, Meta Llama, Mistral, or your own and switch anytime. One codebase runs everywhere (web, macOS, Windows, iOS, Android, Linux). MIT-licensed and LLM-agnostic, so you are never tied to a single provider.
- Enterprise-Ready & Governed: Multi-tenancy, SSO/RBAC (OAuth, OIDC, SAML), usage-based credit billing that scales with usage not seats, embed mode, custom domains, and whitelabeling. SOC 2 Type 2. Add Projects, Canvas/Artifacts, MCP servers, RAG on your data, web search, Deep Research, and real-time voice.
Details
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Delivery method
Deployed on AWS
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Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/month | Overage cost |
|---|---|---|---|
Pay Per User | Designed for teams looking for a collaborative, user-based model, and a monetization goal, with full access to AI capabilities. | $0.00 | |
Pay Per Message | Ideal for educators seeking a flexible, message-based approach to integrate AI in their curriculum and generate income. | $0.00 |
Dimensions summary
You choose between two contract-based billing units for Agentic OS. Pay Per User bills by the number of users, fitting teams that want a collaborative, user-based model with access to AI capabilities. Pay Per Message bills by message volume, fitting educators who prefer a flexible, usage-based approach tied to activity rather than headcount. These are independent options, not stacked tiers. You pick the unit that matches how your usage grows: cost scales with users under one model, and with messages sent under the other.
Top-of-mind questions for buyers
A user is an individual account with access to the platform's AI capabilities. Each person you enroll counts as one unit, regardless of how many messages they send. This model suits teams that want predictable, headcount-based billing with access to the platform's agents and features.
A message is a single interaction sent to an AI agent. Cost scales with total message volume rather than the number of people using the platform. This suits situations where activity varies and you prefer to pay for actual usage instead of per-seat access.
Yes. The platform can be deployed in your own cloud, on-premise, or air-gapped, so your data and workloads stay on your infrastructure. You also receive source-code and data access with no vendor lock-in, and you can connect it to your student information, learning management, and identity systems.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Resources
Vendor resources
Support
Vendor support
ibl.ai/os 24-7 helpdesk for support. Call, email and JIRA-based ticketing systems available.
Support email: support@iblai.zendesk.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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