Own the source code. Deploy autonomous agents on your infrastructure. No vendor lock-in, no telemetry, no compromises — built for the factory floor and the boardroom.
Manufacturing and industrial operations demand more than AI demos. They demand production-grade systems that run on your infrastructure, comply with ITAR and ISO frameworks, and operate without external dependencies. ibl.ai is a proven platform — not a consulting project — already serving 1.6M+ users across 400+ organizations, including NVIDIA's global AI training platform.
We deliver the complete source code. Your team owns it, controls it, and deploys it on your OT/IT infrastructure — cloud, on-premise, or fully air-gapped. Autonomous agents monitor production lines, enforce compliance workflows, train technicians, and coordinate supply chain actions without human intervention at every step.
For defense manufacturers requiring ITAR compliance, facilities operating under ISO 9001 or AS9100, and industrial organizations where data sovereignty is non-negotiable, ibl.ai provides the only enterprise AI platform built around ownership, security, and operational continuity from day one.
ibl.ai powers 1.6M+ users across 400+ organizations including NVIDIA, Kaplan, and Syracuse University. This is not a pilot framework — it is a battle-tested platform deployed in high-stakes environments.
You receive the complete codebase at handoff. No SaaS subscription, no black-box dependency. Your engineering team can audit, extend, and modify every line of code to meet your operational requirements.
Run on AWS, Azure, GCP, your private data center, or a fully isolated OT network. ibl.ai operates with zero external dependencies, making it viable for ITAR-controlled and classified manufacturing environments.
Connect Claude, GPT-4, Gemini, Llama, Mistral, or your own fine-tuned industrial models. Swap models as technology evolves without rebuilding your agent infrastructure or retraining your workforce.
If you never call us again after delivery, the platform keeps running. No license keys, no usage-based billing, no forced upgrades. Your AI capability is a permanent organizational asset.
Every capability is accessible via RESTful APIs. Model Context Protocol (MCP) connects agents to your MES, ERP, SCADA systems, and supply chain databases — enabling real operational action, not just answers.
Agents continuously ingest sensor data, vision system outputs, and SPC charts from production lines. When defect thresholds are breached, agents autonomously trigger inspection holds, log non-conformances to your QMS, and notify quality engineers — without waiting for a human to run a report.
Agents monitor production records against ISO 9001, AS9100, ITAR, and OSHA requirements in real time. They flag deviations, initiate corrective action workflows, generate audit-ready documentation, and escalate unresolved issues — autonomously maintaining your compliance posture between audits.
MentorAI agents deliver personalized on-the-job training for equipment operation, safety procedures, and regulatory requirements. Agents track competency gaps, assign targeted modules, and issue verifiable credentials upon completion — all tied to your specific machinery and SOPs.
Agents analyze OT sensor streams, maintenance logs, and OEM documentation to predict equipment failures before they occur. They autonomously schedule maintenance windows, generate work orders in your CMMS, and brief technicians with step-by-step repair guidance — closing the loop from prediction to action.
Agents monitor supplier performance data, logistics feeds, and geopolitical risk signals. When disruption thresholds are met, they autonomously evaluate alternative suppliers, model inventory impact scenarios, and surface recommended procurement actions to operations managers with full reasoning trails.
When a safety incident or production failure occurs, agents autonomously gather data from SCADA systems, maintenance records, training logs, and shift reports. They correlate events across systems, generate structured root cause analyses, and draft CAPA documentation — compressing investigation cycles dramatically.
Traditional chatbots answer questions. Autonomous AI agents take action, reason over context, and deliver measurable outcomes.
ibl.ai deploys autonomous AI agents that go beyond simple Q&A. Our agents reason, plan, and execute multi-step workflows while you retain full code ownership and infrastructure control.
ibl.ai runs entirely within your facility network with zero external dependencies. No calls to external APIs, no cloud sync, no licensing servers. Fully operational in ITAR-controlled, classified, and OT-isolated environments where internet connectivity is prohibited or restricted.
We collect no usage data, no model inputs, no operational telemetry. Your production data, IP, and workforce information remain entirely within your infrastructure. This is not a policy — it is an architectural guarantee enforced by the deployment model.
Every decision, data query, API call, and workflow execution performed by an agent is logged with timestamps, inputs, outputs, and reasoning. Audit logs are stored on your infrastructure and formatted to support ISO 9001, AS9100, ITAR, and OSHA compliance reviews.
Granular RBAC ensures operators, quality engineers, compliance officers, and executives see only the data and agent capabilities appropriate to their role. Multi-tenant architecture supports isolation between facilities, business units, and partner organizations on a single deployment.
ibl.ai is architected to respect OT/IT network boundaries. Agents can be deployed in segmented zones with controlled data bridges, ensuring that AI capabilities reach the factory floor without compromising industrial control system security or violating network segmentation policies.
Your security and compliance teams can audit the complete codebase before deployment. No black boxes, no obfuscated dependencies. For ITAR-controlled environments and ISO-certified facilities, this is the only acceptable model.
Your engineering team can customize agent logic, integrate proprietary data sources, and build new capabilities on top of the platform — without negotiating change orders or waiting for vendor roadmaps.
The source code runs wherever you need it — your private cloud, on-premise servers, edge hardware on the factory floor, or a fully air-gapped facility network. You are not constrained by vendor hosting decisions.
Because you own the code, the platform continues operating regardless of ibl.ai's business decisions, pricing changes, or service discontinuations. Your AI investment is protected for the lifetime of your operations.
Your agent configurations, training data, workflow logic, and operational models are proprietary assets that never leave your environment. Competitors, vendors, and cloud providers have zero visibility into how your AI operates.
We deliver the complete ibl.ai source code and work with your IT and OT teams to deploy it on your target infrastructure — cloud, on-premise, or air-gapped. We configure integrations with your MES, ERP, SCADA, and CMMS systems via API and MCP connectors, and validate the deployment against your security and compliance requirements.
Our engineers work alongside your operations, quality, and compliance teams to build and configure autonomous agents for your specific use cases — quality monitoring, compliance enforcement, technician training, predictive maintenance, and more. We tune agent behavior to your SOPs, data schemas, and escalation protocols.
We train your engineering and operations teams to manage, extend, and evolve the platform independently. You receive complete documentation, architecture diagrams, and runbooks. From this point forward, you own and operate the system entirely — no ongoing vendor dependency required.
Predictive maintenance agents continuously monitor OT sensor data and maintenance histories, enabling proactive intervention before failures occur — directly protecting production throughput and OEE targets.
Autonomous compliance agents maintain continuous audit-ready documentation, eliminating the manual data gathering and report generation that typically consumes weeks of engineering and quality team time before ISO, AS9100, or ITAR audits.
AI tutoring agents deliver personalized, equipment-specific training tied to your actual SOPs and machinery — compressing the time from hire to certified, productive technician in facilities facing skilled labor shortages.
Quality control agents monitoring production data in real time catch non-conformances earlier in the production cycle, reducing scrap, rework costs, and the risk of defective products reaching customers or triggering recalls.
Because you own the source code outright, there are no per-seat fees, usage-based charges, or annual renewal costs. For large manufacturing workforces, this represents millions in avoided licensing expenditure over a five-year horizon.
Defense manufacturers and aerospace suppliers handling controlled technical data face strict requirements around data residency, access control, and system auditability. Any AI platform processing ITAR-controlled information must operate entirely within controlled infrastructure.
ibl.ai deploys fully air-gapped with zero external data transmission. Role-based access controls enforce need-to-know principles. Every agent action is logged with full traceability. The complete source code is auditable by your compliance team and cleared personnel before deployment.
ISO 9001 and the aerospace-specific AS9100 standard require documented processes, evidence of conformance, corrective action tracking, and continuous improvement — all of which generate significant documentation burden when managed manually.
Compliance agents autonomously generate and maintain conformance records, non-conformance logs, and CAPA documentation. Audit trails from every agent action are formatted to support ISO and AS9100 audit evidence requirements, reducing preparation time and improving documentation completeness.
Facilities handling hazardous chemicals or operating high-hazard processes must maintain rigorous safety training records, incident investigation documentation, and process hazard analysis — with severe penalties for gaps.
Training agents ensure every worker maintains current certifications for their assigned processes, with automated credential tracking and renewal alerts. Incident investigation agents generate structured PSM-compliant documentation and CAPA workflows, reducing investigation cycle time and improving regulatory defensibility.
Defense industrial base manufacturers handling Controlled Unclassified Information (CUI) must achieve CMMC certification, which includes strict requirements around system access, audit logging, configuration management, and incident response.
ibl.ai's air-gapped deployment, zero-telemetry architecture, complete audit logging, and role-based access controls directly support CMMC Level 2 and Level 3 control requirements. Source code ownership enables your team to document and evidence system configurations required for certification assessments.
See how ibl.ai deploys autonomous AI agents you own and control — on your infrastructure, integrated with your systems.