Own the models, data, and code behind your manufacturing AI on your own infrastructure — vs. a per-seat assistant running in Glean's cloud
On ibl.ai you own all the code and the data, run it model-agnostic across any LLM, and pay with no per-seat pricing — so you can deploy anywhere, from your own cloud to a fully air-gapped network.
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Manufacturing organizations adopting AI face one hard constraint before any feature: process IP, CAD files, and supplier terms must stay protected under ITAR for defense work, ISO 27001, and trade-secret protection. Where the AI runs — and who controls it — matters as much as what it does.
Glean is a managed assistant from Glean, billed at about $40 per user per month and running in Glean's cloud on Glean's hosted model selection. Its strength is strong enterprise search across connected SaaS applications with little setup, but it is tied to Glean's hosted index and models and your data is processed in the vendor's cloud.
Self-hosted AI runs on infrastructure you control — on-premise, in your private cloud, or fully air-gapped. You own the code, the data, and the models, run any LLM, and keep process IP, CAD files, and supplier terms inside your perimeter, integrated with SAP, Siemens Teamcenter, MES platforms, and OT networks. This comparison covers maintenance knowledge search, quality documentation, supplier analysis, and technician training for manufacturing — and when each option is the right call.
by ibl.ai
Owned agentic AI platformby Glean
Per-seat AI assistant| Criteria | Self-Hosted AI | Glean |
|---|---|---|
| Out-of-the-Box Productivity | Strong agent capability once deployed; you configure the workflows your teams need. | Polished assistance from day one with strong enterprise search across connected SaaS applications. |
| Manufacturing System Integration | Deep integration with SAP, Siemens Teamcenter, MES platforms, and OT networks via APIs and MCP, built around your data. | Connects to common tools, but integration with sector systems is limited. |
| Custom Agents & Workflows | Build and own production agents for maintenance knowledge search, quality documentation, supplier analysis, and technician training. | A few prebuilt agents; customization is bounded by the platform. |
| Any-LLM & Model Control | Run any open or commercial model, route by cost/latency/capability, and switch anytime. | Runs on Glean's hosted model selection; tied to Glean's hosted index and models. |
| Criteria | Self-Hosted AI | Glean |
|---|---|---|
| Self-Hosting / On-Prem / Air-Gapped | Run on your servers, private cloud, or fully air-gapped with zero external calls. | Runs in Glean's cloud; cannot be self-hosted or air-gapped. |
| Data Stays in Your Perimeter | process IP, CAD files, and supplier terms never leaves your environment; every interaction is logged for audit. | Vendor controls help, but data is processed in the provider's cloud. |
| Model Choice | Any LLM — open-source or commercial — under your control. | Locked to Glean's hosted model selection. |
| Source Code & Platform Ownership | Own the full platform code; no lock-in to a vendor's roadmap. | You rent access; the platform and roadmap belong to the vendor. |
| Criteria | Self-Hosted AI | Glean |
|---|---|---|
| Cost at Scale | Flat, usage-based cost on owned compute — no per-seat fees. | about $40 per user per month; cost rises with every seat. |
| Compliance & Audit Fit | Data stays in your perimeter, supporting ITAR for defense work, ISO 27001, and trade-secret protection with full audit logging. | Vendor compliance coverage under shared-responsibility cloud terms. |
| Time-to-Value | Requires infrastructure and setup, or a partner to deploy it for you. | Turn it on for your users with minimal setup. |
| Support & Maintenance | Self-managed, or fully supported with forward-deployed engineers. | Fully managed by Glean with enterprise support. |
Self-hosted AI keeps process IP, CAD files, and supplier terms inside your perimeter and can run fully air-gapped — the strongest posture for ITAR for defense work, ISO 27001, and trade-secret protection.
Glean adds capable assistance quickly, but processes data in Glean's cloud under shared-responsibility terms.
For manufacturing workloads bound by ITAR for defense work, ISO 27001, and trade-secret protection, owning the stack is the safer default; Glean fits lower-sensitivity productivity.
Self-hosting replaces per-seat licensing with flat cost on compute you own, so broad rollouts don't scale with headcount.
Glean is about $40 per user per month, predictable per user but growing with every license.
For organization-wide deployment, owned infrastructure is often far cheaper at scale.
A model-agnostic platform runs any model — including the vendor's own — and switches as the frontier moves.
Glean is tied to Glean's hosted index and models.
If avoiding model lock-in matters, the owned, model-agnostic platform wins.
Self-hosting keeps process IP, CAD files, and supplier terms in your environment, supporting ITAR for defense work, ISO 27001, and trade-secret protection and air-gap requirements a managed cloud assistant cannot meet.
Glean delivers immediate value with strong enterprise search across connected SaaS applications and minimal setup.
Flat, usage-based cost on owned compute avoids per-seat fees that scale with headcount.
Owning the platform lets you build and tune production agents for maintenance knowledge search, quality documentation, supplier analysis, and technician training across any model.
Timeline: A few weeks, depending on infrastructure and MLOps maturity
Timeline: Days to a couple of weeks
ibl.ai is the agentic AI platform where you own all the code and the data. You self-host the entire stack inside your own perimeter, run it model-agnostic across any LLM and switch anytime, and pay by usage with no per-seat pricing — so you can deploy anywhere: your cloud, on-premise, GovCloud, or fully air-gapped.
ibl.ai is a self-hosted, model-agnostic AI Operating System you own and run on your own infrastructure — on-premise, in your private cloud, or fully air-gapped — so process IP, CAD files, and supplier terms stays in your perimeter under ITAR for defense work, ISO 27001, and trade-secret protection. Agentic OS orchestrates agents and workflows across any LLM for maintenance knowledge search, quality documentation, supplier analysis, and technician training, integrated with SAP, Siemens Teamcenter, MES platforms, and OT networks via APIs and MCP; Agentic LMS delivers training; Agentic Course generates materials. You own the code, data, and models — SOC 2, HIPAA, and FERPA compliant by design, with no per-seat fees.
Full source code under a perpetual license, running on your infrastructure. Not API access to someone else's platform — the stack itself is yours.
Run any LLM — Claude, GPT, Gemini, Llama, Command, or your own fine-tune — and switch providers without rewriting the platform.
Usage-based billing against a budget cap you set. Cost tracks what your organization actually uses, not how many people you employ.
Your cloud, your VPC, on-premise, GovCloud, or a fully air-gapped network with no outbound connectivity.
1.6M+ users across 400+ organizations run the platform this way, including NVIDIA, MIT, and Syracuse University.
ibl.ai is family-owned and operated from New York, NY — a U.S.-headquartered, domestically-owned long-term partner, not a vendor that sells licenses and moves on.
See how ibl.ai deploys AI agents you own and control—on your infrastructure, integrated with your systems.