Solutions
AI Solutions & Ready-to-Launch Programs
Productized programs to get started fast, flexible engagement models to scale, and a clear path from a first pilot to an enterprise partnership.
Programs
Ready-to-Launch AI Programs
Scoped starting points for the most common evaluation and data needs. Every program can be tailored once we understand your system.
AI Model Health Check
A rapid evaluation of an AI system across accuracy, consistency, safety and failure modes.
LLM Benchmark Program
Custom benchmark creation + human evaluation + comparative model testing.
AI Red Team Sprint
Adversarial testing designed to uncover safety and reliability failures.
RAG Evaluation Sprint
Test retrieval quality, grounding, factuality and response quality.
AI Agent Reliability Test
Evaluate tool use, task completion, failure recovery and safety.
Speech AI Evaluation
Evaluate ASR, TTS, accents, multilingual speech and conversational quality.
AI Data Accelerator
Rapid collection, annotation, validation and dataset creation.
Dedicated AI Evaluation Team
Recurring managed evaluation and QA.
Engagement models
However you want to work with us
From a single scoped project to a fully embedded, recurring evaluation program.
Project-Based AI Evaluation
Scoped evaluation, benchmarking or testing engagements with defined deliverables.
Enterprise Data Programs
Large-scale collection, annotation and validation programs with dedicated operations.
Monthly Evaluation Retainers
Recurring evaluation capacity aligned to your release cadence.
Continuous AI Monitoring
Ongoing regression testing and quality monitoring for production AI.
Managed AI Teams
Dedicated testers, evaluators, annotators and domain experts embedded with your team.
Custom Benchmark Programs
Living benchmarks and golden sets maintained across model versions.
AI Red Teaming
Scheduled adversarial sprints and safety testing before and after launch.
Speech / Audio Programs
Multilingual voice collection and evaluation programs for speech products.
Human Evaluation Programs
Calibrated expert and crowd evaluation at scale.
U.S. Market Testing
User research, beta testing and activations for products entering the U.S. market.
Growth path
Start small. Scale with confidence.
Most partnerships follow this path — but you can enter, or stay, wherever makes sense for you.
Step 1
One-time project
A scoped sprint or health check to establish a baseline.
Step 2
Pilot
Validate methodology and quality on a representative workload.
Step 3
Recurring program
Monthly evaluation, data or testing capacity aligned to your roadmap.
Step 4
Enterprise partnership
Dedicated teams, custom benchmarks and continuous monitoring.
How it works
A simple, repeatable process
01
Define
Tell us what you are building and what needs to be measured.
02
Design
We create the evaluation framework, dataset, rubric and testing methodology.
03
Execute
Our experts, evaluators and technology perform the work.
04
Deliver
You receive structured data, benchmarks, findings, dashboards and actionable recommendations.
Why ZenXData
Built for how AI actually fails
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.