FOR PRODUCT, ENGINEERING, AND OPERATIONS TEAMS
Integrate Expert Data Workflows Into Your AI Lifecycle
From data sourcing to model fine-tuning, LILT integrates with your existing pipelines to deliver domain-specific training and evaluation data at scale—without forcing changes to your tech stack.
The LILT Difference
Connect Through APIs and Workflow Adapters
Integrate seamlessly with labeling platforms, MLOps systems, and internal tools to automate multilingual data workflows end to end.
Adaptive Workflows That Learn and Evolve
Incorporate feedback from model outputs, user interaction, and expert review to continuously improve system performance.
Human + Machine Collaboration
Enable tight collaboration between data scientists, linguists, and subject-matter experts to create high-quality multilingual training and evaluation data.
Flexible Delivery for Any Architecture
Support custom models and pipelines with flexible delivery formats and API-ready outputs that fit your workflow—not the other way around.
Use Cases
Integrated Data Pipelines
Connect multilingual data sourcing, labeling, and delivery directly into your AI or MLOps workflows.
Model Fine-Tuning and Improvement
Feed domain-expert annotations and evaluation results into retraining cycles for continuous model performance gains.
Collaborative Review Loops
Enable linguists, SMEs, and ML teams to work in a shared environment to resolve errors and guide iterative improvement.
Evaluation and Benchmark Integration
Plug multilingual evaluation and scoring workflows into your existing systems for ongoing model validation.
Adaptive Data Feedback
Trigger new data requests or refinements automatically based on model behavior, feedback, or performance gaps.
Frequently Asked Questions
How does LILT's workflow integration help with continuous deployment in software development?
LILT integrates directly with product repositories and dev workflows (like GitHub/GitLab) via connectors and APIs. This allows source strings to be synced and translations to be pushed back automatically, turning translation into a continuous step in the development cycle rather than a bottleneck, which speeds up product releases across languages.
What types of systems can LILT integrate with to automate multilingual workflows?
LILT provides native connectors and APIs to plug into a wide range of your existing content systems, including CMS (Content Management Systems), CRM (Customer Relationship Management), product repositories (like GitHub/GitLab), content platforms, marketing automation platforms, document systems, knowledge bases, and support/ticketing systems (like Zendesk).
How does LILT ensure content remains consistent across all localized versions and systems?
LILT improves consistency by using unified workflows and shared context across all systems and releases. Furthermore, continuous improvement ensures that corrections and feedback are fed back into the model and workflow in real time, ensuring content is aligned and on-brand across languages.
How does LILT ensure content remains consistent across all localized versions and systems?
LILT improves consistency by using unified workflows and shared context across all systems and releases. Furthermore, continuous improvement ensures that corrections and feedback are fed back into the model and workflow in real time, ensuring content is aligned and on-brand across languages.
What is meant by "flexible deployment options" for LILT's integration?
Flexible deployment options mean you can integrate LILT in SaaS (cloud), hybrid, or on-prem environments. This is critical for organizations that need to maintain full control of data, access, and governance across different systems, teams, and regions, especially in high-compliance industries.