Managed Content Pipelines for AI & LLMs
From training and fine-tuning to real-world evaluation,
nDash delivers scalable, human-authored content pipelines
tailored to your model’s needs.
Define Your Data Needs
Tell us what you’re training, testing, or tuning, and we’ll translate your requirements into a clear content brief.
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. 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.
Train on Truth
Too much recycled or synthetic text drags accuracy down and lets safety issues slip through. Our domain-expert writers deliver clean, traceable instruction, reasoning, and eval data. Fine-tune faster, reduce hallucinations, and launch models that perform in the real world.
Human Writers
Content written by a global network of professional, vetted writers and editors (not AI).
Ethically Sourced
Fully licensed, copyright-cleared data with zero AI contamination or gray-market scraping.
Domain Specific
Created by verified subject-matter experts across law, healthcare, finance, and more.
Custom Formats
Instruction, reasoning, dialogue, classification — all tailored to your training objectives.
Data Diversity
Content designed for originality, factuality, cultural nuance, and robust edge case coverage.
Quality Scoring
Every output is human-reviewed and scored for clarity, accuracy, and 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.