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One open, AI-native platform for Red Hat's global content.

Red Hat is building open, enterprise AI, from Granite to OpenShift AI. LILT is the same for your content: one open, agentic AI platform that is model-agnostic, so you can orchestrate Granite or any model, and self-managed or air-gapped to run in your hybrid cloud. Instant AI localizes technical docs, developer, and community content at open-source scale, with expert verification only where it matters, and volume economics that keep it affordable.

Kim Barnes

Your Enterprise Account Executive

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Use cases

How Red Hat wins with LILT

Technical documentation at scale

RHEL, OpenShift, and Ansible docs localized across languages, fast enough for the release cadence.

Developer and community content

Localize developer guides, tutorials, and community content so contributors everywhere work in their own language.

Instant AI, verified where it matters

Route high-volume content to instant AI translation, and add agent or expert verification only where it counts, on volume economics.

Model-agnostic and open

Orchestrate Granite, your own models, or third-party LLMs, with no lock-in, aligned with your open strategy.

One source of truth

Consolidate a multi-vendor stack (XTM, Phrase, and in-market agencies) onto one governed platform, with one glossary and a single view of cost, quality, and turnaround.

Agent-native, in your hybrid cloud

A localization agent that fits an MCP-native, hybrid and OpenShift world, self-managed or air-gapped.

Enterprise trust, built in

Your content and data stay yours

Your content and data stay yours

Custom models trained only on your content. Your data is excluded from anyone else's model training, with automated PII redaction and role-based access.

Self-managed, air-gapped, and sovereign-ready

Self-managed, air-gapped, and sovereign-ready

Run in your own hybrid cloud or fully air-gapped for regulated and sovereign content, meeting strict data-residency and data-control requirements.

One governed system

One governed system

One glossary and style guide, risk-tiered human review, and real-time MQM analytics with a full audit trail.

Open and model-agnostic

Open and model-agnostic

Bring your own LLM and orchestrate any model, with no black box and no lock-in.

Customer stories

Proof from enterprises that scaled with LILT

ChargePoint

Moved 24% of its workflow to AI-only and reduced costs by 70%.

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Lenovo

60% faster turnaround, 50% cost savings, 60+ custom models.

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Canva

On-brand in 100+ languages, creative at scale.

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One platform, not a patchwork

Red Hat's teams have run a multi-TMS stack (XTM and Phrase). LILT connects generative AI to all of your systems, guarantees quality and consistency, and adapts in real time, so you scale on one open platform instead of stitching tools together.

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Contextual AI

Not supported
Proprietary core platform

First-party managed services

Not supported
Fully supported

Reach

125 languages
Unlimited languages

Model training

Manual and periodic
Dynamic and adaptive in real time

Content generation

Not supported
LILT Create

Quality assurance

Automated for linguists
End-to-end with MQM

Built for how Red Hat works

Your teams do not need another silo. LILT connects to the systems and pipelines your teams already use.

100+ connectors, API and CI/CD

100+ connectors, API and CI/CD

Connect your content systems and code repositories, and trigger translation inside your build and docs pipelines. Around 80% of LILT work flows through connectors, not files.

Model-agnostic orchestration

Model-agnostic orchestration

Orchestrate Granite, your own models, or third-party LLMs in one platform.

Agent-native via LILT MCP

Agent-native via LILT MCP

A localization agent for your MCP-native, hybrid pipelines, with brand governance built in.

Localize at open-source scale, on your terms.

Bring Red Hat's terminology, docs, and translation memory into one open, agentic AI platform, model-agnostic, self-managed, and priced to scale.