Own the source code. Deploy autonomous agents that protect your IP, automate content operations, and run entirely within your infrastructure — no SaaS, no telemetry, no vendor lock-in.
Media and entertainment organizations operate under unique pressures: vast content libraries, complex rights structures, high-value IP, and creative workflows that cannot afford disruption. ibl.ai delivers a production-grade AI platform — not a pilot, not a proof-of-concept — already serving 1.6M+ users across 400+ organizations, handed to you as complete source code.
Unlike SaaS AI tools that sit between your content and the cloud, ibl.ai deploys entirely within your own infrastructure. Your media assets, rights data, and audience intelligence never leave your perimeter. Autonomous AI agents — not chatbots — monitor rights windows, coordinate content pipelines, analyze video at scale, and execute multi-step workflows without human intervention at every step.
From major studios managing global distribution to streaming platforms optimizing content discovery, ibl.ai powers AI operations that are auditable, modifiable, and permanently yours. When your team needs to adapt the platform to a new workflow or a new model, you have the code to do it — no support ticket required.
ibl.ai serves 1.6M+ users across 400+ organizations including NVIDIA, Kaplan, and Syracuse University. This is not a prototype — it is a hardened, battle-tested platform ready for enterprise media operations from day one.
You receive the complete codebase — every line. Audit it, modify it, extend it, or hand it to your internal engineering team. No black-box SaaS subscription. No dependency on ibl.ai's continued existence or pricing decisions.
Run on your own cloud, your on-premise data center, or a fully air-gapped environment with zero external dependencies. Your content, rights data, and audience signals stay inside your perimeter at all times.
Connect Claude, GPT-4, Gemini, Llama, Mistral, or your own fine-tuned models. Swap models as the landscape evolves without re-architecting your workflows. No single-model dependency, ever.
If you never call ibl.ai again after delivery, the platform keeps running. No license checks, no phone-home telemetry, no expiring API keys. You own the system outright.
Every capability is accessible via RESTful APIs. Integrate with MAM systems, DAM platforms, rights management tools, and distribution pipelines. Multi-tenant architecture supports role-based access across divisions, studios, and partner organizations.
AI agents continuously monitor rights windows across your entire content library — querying rights databases, cross-referencing distribution agreements, flagging expiring licenses, and triggering renewal workflows before windows close. No human needs to run a report.
Agents ingest raw video, audio, and document assets, extract structured metadata, generate scene-level descriptions, identify talent and objects, and write records back to your MAM or DAM system — fully autonomously, at scale, 24/7.
Agents analyze content against regulatory standards, brand safety guidelines, and platform-specific policies. They flag violations, generate compliance reports, route content for human review when confidence thresholds require it, and log every decision with full audit trail.
Agents coordinate multi-step distribution workflows — verifying technical specs, confirming rights clearance, generating localized assets, scheduling delivery to platforms, and confirming receipt — executing dozens of dependent steps without manual handoffs.
Deploy MentorAI agents to upskill production staff, rights teams, and creative crews on new tools, workflows, and compliance requirements. Agents adapt to each learner's role, track progress, and surface knowledge gaps — all within your secure environment.
Agentic Video agents process long-form content, identify key moments, generate chapter markers, produce promotional clips, and create accessibility assets such as transcripts and audio descriptions — executing the full post-production support pipeline autonomously.
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.
The entire ibl.ai platform can be deployed in a fully air-gapped environment with zero external network dependencies. No calls to ibl.ai servers, no model API calls leaving your perimeter, no license validation pings. Your content and IP stay inside your walls, always.
ibl.ai collects no usage telemetry, no behavioral analytics, and no content data. There are no hidden callbacks to vendor infrastructure. Every byte of data your agents process — including media assets, rights records, and audience data — remains exclusively within your environment.
Every action taken by every agent is logged with full fidelity: what data was accessed, what APIs were called, what decisions were made, and what outputs were generated. Logs are stored within your infrastructure and are fully exportable for compliance, legal review, or internal audit.
Built-in multi-tenant architecture enforces strict data isolation between divisions, studios, partner organizations, and user roles. Rights teams, creative staff, distribution partners, and executives each operate within precisely scoped access boundaries — no cross-contamination of sensitive content or business data.
Deploy on AWS, Azure, GCP, or your own on-premise hardware — including NVIDIA GPU clusters for high-throughput video processing. You control the infrastructure, the network boundaries, and the security posture. ibl.ai adapts to your environment, not the other way around.
Because you own the full source code, your security team can audit every component — AI agent logic, data connectors, API handlers, and authentication flows. No black-box dependencies. No trust-me-it's-secure vendor assurances. You verify it yourself.
Your security, legal, and engineering teams can inspect every component of the platform — agent reasoning logic, rights data connectors, content processing pipelines, and API integrations. In an industry where IP protection is paramount, black-box AI is not acceptable.
Media workflows are not generic. When your distribution pipeline changes, when a new rights framework emerges, or when you acquire a new studio with different systems, your team modifies the platform directly. No feature request queue, no waiting for a vendor roadmap.
The platform runs on your servers, your cloud accounts, or your air-gapped data center — indefinitely. There is no SaaS subscription to renew, no per-seat pricing that scales against you, and no service that can be switched off by a vendor decision.
If ibl.ai ceased to exist tomorrow, your platform would continue running without interruption. You have the code, the documentation, and the architecture. Your AI operations are not contingent on any third party's business continuity.
Source code ownership means your engineering team learns the platform deeply, builds institutional knowledge, and develops proprietary extensions. Over time, you accumulate a genuine AI capability — not a dependency on a vendor relationship.
ibl.ai delivers the complete platform source code and deploys it within your infrastructure — your cloud, your on-premise servers, or your air-gapped environment. We configure integrations with your MAM, DAM, rights management systems, and content pipelines. Your team receives full access to the codebase from day one.
Working alongside your engineering, content operations, and rights teams, ibl.ai configures and builds the autonomous agents specific to your workflows — rights monitoring agents, content tagging pipelines, distribution coordination agents, and compliance review workflows. We tune agent behavior, connect data sources via MCP, and validate outputs against your operational standards.
Your team deploys to production with full ownership of the platform. ibl.ai provides documentation, architecture guidance, and transition support. From this point forward, you operate, modify, and extend the platform independently. No ongoing vendor dependency. No license renewals. The system is yours.
Autonomous rights monitoring agents replace manual audit cycles across large content libraries, reducing the labor cost of rights clearance, expiry tracking, and compliance verification for studios managing thousands of titles.
AI agents that autonomously ingest, analyze, and tag video and audio assets reduce time-to-searchable-asset from days to under an hour, accelerating content discoverability and distribution readiness across the full library.
Agents that coordinate multi-step distribution preparation — spec verification, rights confirmation, localization, delivery scheduling — compress release timelines and reduce manual coordination overhead per title by up to 90%.
AI-driven content moderation and compliance review agents process an order of magnitude more content at lower cost than manual review teams, enabling media platforms to scale content volume without proportional compliance cost growth.
MentorAI agents deployed for production staff, rights teams, and creative crews reduce onboarding time for new workflows and tools, with completion rates exceeding 85% across distributed and remote production teams.
Media organizations must enforce complex, territory-specific content licensing agreements and DRM requirements across distribution channels. Unauthorized distribution or rights violations carry significant legal and financial exposure.
Autonomous rights monitoring agents continuously query rights databases, validate distribution against licensing terms, flag violations before they occur, and generate defensible audit logs of every rights decision — all within your secure infrastructure where content never leaves your perimeter.
Streaming platforms and media companies processing audience behavioral data, viewing histories, and personalization profiles are subject to GDPR in Europe and CCPA in California, with strict requirements on data residency, consent, and the right to erasure.
Air-gapped deployment ensures audience data never leaves your infrastructure. Zero telemetry means no behavioral data is transmitted to third-party AI vendors. Role-based access controls and complete audit trails support data subject access requests and demonstrate compliance to regulators.
AI use in content production — including AI-generated likenesses, voice synthesis, and automated editing — is subject to evolving talent union agreements. Organizations must demonstrate that AI tools are used within negotiated boundaries and that talent data is protected.
Full source code ownership means your legal team can audit exactly how AI agents interact with talent-related content. Air-gapped deployment ensures talent likenesses and voice data are processed exclusively within your controlled environment, supporting compliance with union agreement data protection requirements.
Regulators and platform policies increasingly require disclosure of AI-generated content and transparency in algorithmic content recommendation. Organizations need auditable records of AI involvement in content creation and distribution decisions.
Every agent action is logged with full fidelity in ibl.ai's audit trail — what AI generated, what decisions were made, and what data informed those decisions. These logs are stored within your infrastructure and are fully exportable to support regulatory disclosure requirements and internal governance reviews.
See how ibl.ai deploys autonomous AI agents you own and control — on your infrastructure, integrated with your systems.