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.

Connector graphic

The LILT Difference

Connect Through APIs and Workflow Adapters

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

Adaptive Workflows That Learn and Evolve

Incorporate feedback from model outputs, user interaction, and expert review to continuously improve system performance.

Human + Machine Collaboration

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

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

Integrated Data Pipelines

Connect multilingual data sourcing, labeling, and delivery directly into your AI or MLOps workflows.

Model Fine-Tuning and Improvement

Model Fine-Tuning and Improvement

Feed domain-expert annotations and evaluation results into retraining cycles for continuous model performance gains.

Collaborative Review Loops

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

Evaluation and Benchmark Integration

Plug multilingual evaluation and scoring workflows into your existing systems for ongoing model validation.

Adaptive Data Feedback

Adaptive Data Feedback

Trigger new data requests or refinements automatically based on model behavior, feedback, or performance gaps.

Integrate once and scale everywhere.

Discover how LILT automates multilingual workflows across your systems and processes.

Frequently Asked Questions

How does LILT's workflow integration help with continuous deployment in software development?

Arrow icon
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?

Arrow icon
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?

Arrow icon
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?

Arrow icon
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?

Arrow icon
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.