AI Data & Model Training

Better Data.
Smarter Models.

Your AI model is only as good as the data behind it. We provide everything you need to train, evaluate, and improve your model — from data labeling and collection to RLHF, red-teaming, and fine-tuning.

Quality You Can Count On

Every piece of data goes through multiple rounds of review. We don't deliver until it meets your standards.

Domain-Matched Experts

We match your project with annotators and evaluators who actually understand the subject matter — not just general workers.

Fast & Scalable

Whether you need 1,000 labels or 1 million, we can scale your team up quickly without sacrificing quality.

Fully Managed

You don't have to manage anyone. We handle recruitment, training, supervision, and delivery end to end.

What We Do

End-to-end data services to take your AI model from prototype to production-ready.

Data Labeling & Annotation

We label your raw data — text, images, audio, or video — with precision. Our annotators follow your exact guidelines and go through multiple quality checks before anything is delivered.

Text classificationImage bounding boxesAudio transcriptionSentiment tagging

Data Collection & Cleaning

Need data from scratch? We collect, source, and clean datasets tailored to your model's needs — removing duplicates, fixing errors, and structuring everything so it's ready to use.

Custom dataset sourcingDeduplicationFormat standardizationPII removal

Model Evaluation & Testing

We run your AI model through real-world scenarios and have human experts evaluate its responses — so you know exactly where it performs well and where it needs work.

Response quality scoringBenchmark testingEdge case discoveryAccuracy reporting

RLHF — Reinforcement Learning from Human Feedback

Our trained evaluators rank and compare AI responses to help your model learn from human preferences. This is how you go from a good model to a great one.

Pairwise response rankingPreference data collectionReward model training dataInstruction following

Red-Teaming & Safety Testing

We actively try to break your AI — testing it with adversarial prompts, edge cases, and sensitive scenarios to find weaknesses before your users do.

Jailbreak testingBias detectionHarmful output identificationPolicy violation testing

Fine-Tuning Data Preparation

We build high-quality instruction datasets, prompt-response pairs, and domain-specific examples specifically designed to fine-tune your model on your use case.

Instruction datasetsPrompt-response pairsDomain-specific examplesMulti-turn conversations

How It Works

A simple, transparent process from kickoff to delivery.

Step 01

Tell Us What You Need

Share your project details — what kind of data, how much, what format, and any specific guidelines your model requires.

Step 02

We Build Your Team

We select and brief the right specialists for your project — people who understand your domain and your quality bar.

Step 03

We Do the Work

Your team gets to work. We run internal quality checks at every stage to make sure the output is consistent and accurate.

Step 04

You Get Clean, Ready Data

We deliver your dataset in your preferred format, with a quality report. Revisions are included until you're satisfied.

Start Your Data Project

Ready to Build
a Better Model?

Tell us about your project and we'll put together the right team and plan for you. No commitment required — just a conversation to see how we can help.

99.8%

Data Quality Rate: Multi-stage review on every project before delivery.

72h

Quick Kickoff: We can have your project team assembled and briefed within 72 hours.

6

Core Services: Labeling, collection, evaluation, RLHF, red-teaming, and fine-tuning data.

Tell Us About Your Project

We'll get back to you within 24 hours with a plan.