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LILT AI Tech Stack

AI-powered translation and data labeling for multilingual enterprises

Software Development San Francisco, California 201–500 employees Founded 2015 Privately Held
lilt.com LinkedIn

LILT AI builds translation and AI data-labeling infrastructure for global businesses and governments. The tech stack reveals a dual-track operation: professional translation tools (SDL Trados, memoQ, Wordfast) paired with modern AI evaluation infrastructure (SuperAnnotate, GCP, BigQuery, Python). Active hiring is heavily weighted toward data roles (19 open positions) relative to engineering (10), suggesting the company is scaling annotation capacity and dataset creation faster than core platform development — a signal that client demand for labeled multilingual data outpaces infrastructure iteration.

Tech Stack 40 technologies

Core StackAshby Salesforce Adobe InDesign Adobe Illustrator Adobe Photoshop Jira Adobe Premiere Pro Python Drata Vanta Datadog BigQuery AWS SuperAnnotate FrameMaker QuarkXPress Adobe Experience Manager Google Drive SDL Trados Studio memoQ Wordfast GCP Articulate 360 Articulate Storyline Adobe After Effects Adobe FrameMaker DaVinci Resolve Adobe Audition Bash Wiz+10 more

What LILT AI Is Building

◆Challenges

  • Project demand fluctuations
  • Expanding translation pool
  • Recruiting specialized language talent
  • Improving enterprise translation quality
  • Ensuring safety
  • Deployment readiness
  • Reducing cultural mismatch
  • Ensuring culturally relevant ai outputs
  • Maintaining high-quality annotation
  • Consistent scoring standards

▲Active Projects

  • Ai voice cloning / tts training
  • Localization of digital tools and applications
  • Ai benchmarking project focused on modern standard arabic for gcc corporate, legal, financial, and technology environments
  • Improving language model quality
  • Ai training and evaluation projects
  • Calibration and qa processes
  • Multilingual speech-to-text and translation project
  • Localizing e-learning courses for global audiences
  • Gold standard solutions reflecting best practices across gcc professional services, legal operations, accounting, project management, and technology environments
  • Localizing interactive multimedia assets

Hiring Activity

Accelerating75 roles · 70 in 30d

Department

Data
19
Engineering
10
Product
10
Research
7
Ops
5
Support
5
Translation
4
Linguistics
3

Seniority

Mid
58
Senior
10
Junior
5
Intern
1
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About LILT AI

LILT AI provides translation and AI dataset creation services for enterprises and government agencies operating across multiple languages. The company was founded in 2015 by former Google Translate researchers and operates a globally distributed team across 25+ countries. The product portfolio spans three areas: professional human translation, automated localization of digital tools and applications, and AI training data curation (annotation, evaluation, benchmarking). Current operational focus includes voice cloning and multilingual speech-to-text, localization for e-learning, and specialized benchmarking work in Modern Standard Arabic for GCC corporate and legal environments.

HeadquartersSan Francisco, California
Company Size201–500 employees
Founded2015
Hiring MarketsMexico, France, South Africa, United States, United Kingdom, China, Dominican Republic, Canada

Frequently Asked Questions

What is LILT AI's tech stack?

Translation tools (SDL Trados, memoQ, Wordfast), annotation and evaluation (SuperAnnotate), cloud infrastructure (GCP, BigQuery, AWS), development (Python, Bash), security and compliance (Vanta, Drata, Wiz), and design software (Adobe suite, FrameMaker).

What countries does LILT AI hire in?

25 countries including United States, Mexico, Canada, United Kingdom, France, Germany, China, Australia, and others across Africa, Central America, Eastern Europe, and the Middle East.

How this profile is built

LILT AI's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.