Multilingual AI Enablement
Intelligent AI Starts
With LingIQ
We optimize Generative AI — LLMs and agentic systems — through research, fine-tuning, and intelligent design for diverse real-world use cases.
About Us
A team where language, culture & ML meet
LingIQ is a team of linguists, ML experts, and UX researchers improving LLMs via high-quality data, precise fine-tuning, and rigorous end-to-end evaluation.
With experience at Google, Meta, and AWS, we understand how the intersection of language, culture, and data helps build more accurate, inclusive, and user-aligned AI. Contact us for collaboration and consultation, or explore how LingIQ can enhance your models.
Start a conversation →Our Services
AI That Works for Everyone
At LingIQ, we help organizations build smarter, more inclusive AI. Our team blends machine learning expertise with deep linguistic insight to deliver scalable, real-world solutions for global users.
Building AI-Integrated Websites
We develop websites that uses AI for their primary functions, such as data summarization and content generation.
Tuned for Your Domain
We fine-tune LLMs for your specific domains, languages, and use cases — improving accuracy, tone, and reliability where off-the-shelf models fall short.
Data When You Have None
We generate high-quality synthetic datasets that are diverse, representative, and tailored to your task — even for low-resource languages and edge cases.
Trust Through Evaluation
We audit models and datasets with rigorous QA — surfacing bias, gaps, and failure modes so your AI performs safely and consistently in production.
Our Research
Discovery to Deployment Workflow
-
Step 1
Discovery & Strategy
We begin with a strategy session to understand your goals, users, and data environment.
-
Step 2
Research & Audit
We analyze your current systems, datasets, or user journeys to surface opportunities.
-
Step 3
Design & Plan
We map out the right approach — whether that's fine-tuning a model, generating synthetic data, or designing a chatbot.
-
Step 4
Build & Optimize
We create or adapt your AI solution — from prompt engineering to model training — and optimize based on test results.
FAQs
We've Got the Answers You're Looking For
How does LingIQ reduce bias in large language models (LLMs)?
We combine linguistic expertise with rigorous evaluation — auditing training data for representation gaps, curating balanced datasets, and stress-testing models across languages, dialects, and demographics to surface and reduce harmful bias.
Is AI automation difficult to integrate?
Not with the right plan. We start by mapping your existing systems and workflows, then design solutions that fit your stack — handling the heavy lifting of data, fine-tuning, and evaluation so integration stays smooth.
What types of organizations do you work with?
We partner with startups, enterprises, and research teams across industries — from literature and film to global consumer products — anywhere accurate, inclusive, multilingual AI matters.
How is your synthetic data different from off-the-shelf datasets?
Our synthetic data is purpose-built for your task — diverse, representative, and linguistically grounded — rather than generic. That means better coverage of edge cases, dialects, and low-resource languages.
Why does representation in training data matter?
Models learn from the data they see. Representative data leads to AI that's accurate and fair across languages and cultures; unbalanced data bakes in blind spots and bias.
How much do your services cost?
Every engagement is scoped to your goals and data environment. After a short discovery call we provide a clear proposal with transparent pricing — no surprises.
How long does a typical project take?
It depends on scope. Audits and consulting can take a couple of weeks, while fine-tuning or full AI builds typically run several weeks to a few months. We'll give you a timeline upfront.
Can you handle domain-specific or low-resource languages?
Yes. Specialized domains and low-resource languages are a core strength — we use targeted data curation and synthetic data generation to reach high accuracy where generic models struggle.
What if I don't have labeled data yet?
No problem. We can curate, annotate, or synthetically generate the data you need, then build and evaluate your model from there.
Let's Build Your AI Solution Together
Tell us a bit about your goals and we'll take it from there.