One agentic AI platform to consolidate Cisco's global content.
Cisco is becoming a full-stack AI platform company. LILT does the same for your global content: one governed, agentic AI platform that replaces the fragmented mix of per-team tools and static internal translation. Adaptive models trained on your content learn from every human edit in real time, agents automate the workflow, and your experts stay in control, with the enterprise security, data residency, and governance Cisco requires.
Use cases
How Cisco wins with LILT
One platform for every team
Bring paid media, Cisco TV captions, and dot-com onto one governed platform, replacing the patchwork of per-team tools with a single holistic view.
Adaptive models per content stream
Purpose-built models for web, legal, marketing, and more that learn from every human edit in real time, instead of one static, bulk-trained engine.
Localization as an agent in your stack
Drop a LILT localization agent into your MAP framework and agent workflows, orchestrating your own LLMs so your AI-infra team does not rebuild translation.
Multimodal: captions, video, voice
Subtitles and captions for Cisco TV, event and webinar repurposing, transcription, and AI voiceover across formats and languages.
Real-time translation for regional teams
Fast chat and voice translation so on-the-ground teams across regions can serve customers and partners without waiting.
Developer-friendly continuous localization
Connectors, API, and CI/CD so localization keeps pace with agile development without adding friction for engineers.
Enterprise trust, built in
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 and air-gapped deployment
Host in your own cloud or run fully air-gapped to meet strict data-residency and security requirements.
One governed system
One glossary and style guide per content stream, risk-tiered human review, and real-time MQM analytics with a full audit trail.
Prove when AI is safe
Word-prediction-accuracy analytics show exactly when a model is strong enough to move to AI-only, on your terms.
One platform, not a patchwork
A static internal translation tool plus a patchwork of per-team point tools means the same work repeated, no learning between projects, and a handoff at every seam. LILT runs models, agentic workflows, verification, connectors, and analytics as one governed system: the same consolidation Cisco is driving in its own AI platform, applied to your global content.
Learning
Content fit
Build vs. buy
Workflow
Your data and IP
Security
Built for how Cisco works
Your teams do not need another silo. LILT connects to the systems and agent workflows Cisco already runs.
100+ pre-built connectors
CMS, DAM, code repositories, and tools like Gong so content flows automatically. Around 88% of LILT work flows through connectors, not files.
Agent-native and BYO-LLM
A localization agent that fits your MAP framework and agent-to-agent workflows, orchestrating your own or LILT's models.
AI assistants via LILT MCP
Request translations and check status from the AI assistants your teams build and use, with brand governance built in.
