How it Works
We turn your data requirements into structured, high-quality content pipelines. Our expert creators follow your specifications precisely, delivering outputs optimized for LLM development at scale.
Define Your Data Needs
Tell us what you’re training, testing, or tuning — and we’ll translate your requirements into a clear content brief.
Match Domain-Specific Creators
We assign your task to vetted writers and editors with real expertise in your field — screened for quality and domain fluency.
Delivery, Feedback & Iteration
We run your project through a multi-step process with built-in quality control and deliver clean, structured outputs.
Define Your Data Requirements
We start by understanding your model’s objective — whether it’s training, fine-tuning, evaluation, or alignment. From there, we help scope the optimal content types, domains, and quality requirements needed to achieve your goals.
Our team works with you to build a tailored brief, including prompt formats, tone, length, factuality thresholds, and ethical considerations. The result is a clear, scalable plan for sourcing high-impact, human-authored data your models can learn from.
Matched With Domain-Specific Creators
Once your data requirements are set, we match each task with the right writers, editors, and reviewers from our vetted network. Our talent pool spans verticals like healthcare, finance, legal, tech, and education — ensuring each contributor brings the subject matter fluency, nuance, and judgment your project demands.
Creators receive task-specific briefs and examples aligned to your goals. The result: scalable, human-authored data grounded in real-world expertise and written for model performance, not just readability.
Delivery, Feedback & Iteration
Completed outputs are delivered in your preferred format — structured, metadata-tagged, and ready for ingestion. Each batch includes QA scores, reviewer notes, and traceability back to individual creators for full transparency.
We work closely with your team to incorporate feedback, refine task design, and adjust criteria as needed. Whether you’re running a one-off project or an ongoing pipeline, we ensure continuous improvement and alignment with your evolving model objectives.
Why AI Teams Choose Human-Crafted Data
From improved model outcomes to scalable, stress-free data pipelines — here’s how our human-crafted approach delivers lasting value.
Smarter Model Performance
Boost reasoning, accuracy, and factual grounding with clean, human-authored training data.
Reduced Risk
Avoid AI contamination and copyright issues with ethically sourced, traceable content.
Faster Iteration
Streamlined workflows and structured delivery help you move from data need to model-ready faster.
Full Customization
Get exactly what your model requires — from tone and length to domain expertise and format.
Transparent Quality
Track output quality with scoring on clarity, correctness, and rubric-based evaluations.
Scalable Reliability
Deliver thousands of human-vetted outputs without sacrificing control or consistency.
Common Questions
What types of AI use cases do you support?
We support content for a range of use cases, including model training, fine-tuning, evaluation sets, safety alignment (RLHF), and domain-specific instruction following. Whether you’re training a general-purpose LLM or a vertical-specific model, we can help.
How do you source and vet your writers?
Our global creator network includes vetted writers, editors, and reviewers with verified experience in fields like healthcare, law, finance, tech, and education. Each contributor is reviewed for writing skill, subject matter expertise, and data quality.
Can we control the format and structure of the data?
Yes — you define the task structure, content format, metadata requirements, and quality standards. We tailor everything to your schema and delivery preferences, ensuring outputs are immediately usable for training and evaluation.
How do you ensure quality and prevent AI contamination?
All content is written by verified humans and reviewed through a multi-step QA process with rubrics, traceability, and automated checks. We do not use AI to generate or rewrite content, and we provide full provenance for every deliverable.
What’s your typical turnaround time and scale capacity?
We can support pilot projects with quick turnaround (1–2 weeks) as well as ongoing pipelines with consistent weekly output. Our infrastructure and network allow us to scale from a few hundred to tens of thousands of examples, depending on complexity.
How is the data priced, and who owns it?
Pricing is usage-based and depends on the complexity and volume of the data. All content you pay for is fully owned and licensed to you, with no residual rights retained by nDash or our contributors.
Request a Pilot
To request a pilot or learn more about how it works, fill out the form we’ll be in touch.