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ZenxData

AI data, evaluation, testing and human intelligence

Make AI performance measurable.

ZenXData helps AI teams find failure modes, benchmark model quality, improve training data, and validate systems before they reach real users.

AI DATA • EVALUATION • BENCHMARKING • TESTING • HUMAN INTELLIGENCE

How we reduce AI risk

A rigorous path from uncertainty to evidence

Every engagement is scoped around the decision your team needs to make, with clear methods, quality controls, and usable deliverables.

  • Project-specific evaluation

    Rubrics and test plans shaped around your product, users, and risk profile.

  • Quality review built in

    Calibration, review checkpoints, and documented acceptance criteria support consistent work.

  • Decision-ready findings

    Clear failure categories, evidence, and prioritized next steps—not an unexplained data dump.

  • Confidential by design

    NDA-ready scoping and access discussions before sensitive materials are shared.

Services

Human intelligence and infrastructure for every stage of the AI lifecycle.

Nine service categories spanning data, evaluation, testing and managed teams — delivered as sprints, programs or dedicated capacity.

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AI Data Services

High-quality, domain-specific and multilingual data for training, fine-tuning and evaluation — collected, validated and curated by people who understand the task.

Data Collection · Data Sourcing · Data Validation · Data Cleaning · Data Curation · Data Augmentation

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Core capability

AI Evaluation & Benchmarking

Measure what matters. Custom benchmarks, golden sets, rubric design and human preference evaluation that show exactly how your models perform — and where they fail.

LLM Evaluation · AI Model Benchmarking · Model-to-Model Comparison · Human Preference Evaluation · Pairwise Ranking · Response Quality Evaluation

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AI Testing & Red Teaming

Adversarial, manual and automated testing that surfaces safety, reliability and robustness failures before your users do.

AI Stress Testing · Manual AI Testing · Automated AI Testing · Adversarial Testing · Red Team Testing · Prompt Injection Testing

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Generative AI & LLM Services

Human feedback, preference data and instruction datasets that make generative models more helpful, accurate and aligned.

LLM Evaluation · Prompt Evaluation · Prompt Testing · Human Feedback · Preference Data · RLHF Data Support

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Major vertical

Speech & Audio AI

End-to-end speech and audio programs: multilingual voice collection, transcription, ASR and TTS evaluation, accent coverage and conversational AI testing.

Audio Data Collection · Speech Data Collection · Voice Recording · Speech Transcription · Speech Evaluation · ASR Testing

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Multimodal AI

Annotation and evaluation across image, video, audio and text — including OCR, VQA and cross-modal reasoning.

Image Annotation · Video Annotation · Image Evaluation · Video Evaluation · Text + Image Evaluation · Audio + Text Evaluation

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High growth

AI Agent & Automation Testing

Evaluate tool-calling, multi-step task completion, failure recovery and safety for agents operating in real workflows and browsers.

AI Agent Evaluation · Tool-Calling Evaluation · Multi-Step Agent Testing · Agent Reliability Testing · Workflow Testing · Browser Agent Testing

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Expert Human Evaluation

Subject-matter experts and trained evaluators applying rigorous rubrics, pairwise comparison and quality rating across domains and languages.

Subject Matter Expert Evaluation · Professional Expert Review · Domain-Specific Evaluation · Human Preference Testing · Quality Rating · Pairwise Comparison

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Managed AI Workforce

A dedicated ZenXData team embedded in your workflow. Dedicated teams available for short-term projects, long-term programs and recurring evaluation.

AI Testers · Data Annotators · Evaluators · Researchers · Audio Contributors · QA Testers

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Ready-to-Launch AI Programs

Packaged starting points. No lengthy scoping required.

Start with a defined program and expand into a recurring engagement as your needs grow.

01

AI Model Health Check

A rapid evaluation of an AI system across accuracy, consistency, safety and failure modes.

02

LLM Benchmark Program

Custom benchmark creation + human evaluation + comparative model testing.

03

AI Red Team Sprint

Adversarial testing designed to uncover safety and reliability failures.

04

RAG Evaluation Sprint

Test retrieval quality, grounding, factuality and response quality.

05

AI Agent Reliability Test

Evaluate tool use, task completion, failure recovery and safety.

06

Speech AI Evaluation

Evaluate ASR, TTS, accents, multilingual speech and conversational quality.

07

AI Data Accelerator

Rapid collection, annotation, validation and dataset creation.

08

Dedicated AI Evaluation Team

Recurring managed evaluation and QA.

What can we test?

Tell us what you are building. We will show you how we can help.

Select your system and what you need. This takes ten seconds.

What are you building?

What do you need?

Your recommended services will appear here.

How it works

Four steps from uncertainty to measurable performance.

  1. 01

    Define

    Tell us what you are building and what needs to be measured.

  2. 02

    Design

    We create the evaluation framework, dataset, rubric and testing methodology.

  3. 03

    Execute

    Our experts, evaluators and technology perform the work.

  4. 04

    Deliver

    You receive structured data, benchmarks, findings, dashboards and actionable recommendations.

Why ZenXData

Built for teams that need answers, not just data.

Human + AI

Combine human judgment with automation.

Real-World Testing

Test AI against realistic users, edge cases and failure scenarios.

Custom Benchmarks

Build evaluation frameworks around the customer's actual product.

Scale

Support projects from startup pilots to enterprise programs.

Multilingual

Support global AI products and diverse user populations.

Actionable Results

Don't just provide data — identify what is failing and why.

Have an AI project?

Send us what you are building. We will scope the data, evaluation, benchmarking or testing program and come back with a proposal.