Data for AI Training: Curriculum‑Ready Data for EdTech Tutors & AI‑First Publishers

Modern AI tutors need to understand more than just text—they must interpret diagrams, analyze audio from diverse accents, and make sense of real classroom video. We deliver labeled datasets across text, image, audio, and video formats, complete with sentiment tags to help detect student engagement. The result is AI that sees and hears the full classroom context, enabling richer, more adaptive support for every learner.

Education boards and institutional leaders increasingly demand transparency, safety, and clear explainability from AI solutions. Our team provides annotated reasoning steps and specialized red-team prompts that allow for rigorous stress testing of your models, covering everything from nuanced grade disputes to partial-knowledge scenarios. You get the documentation and confidence you need to satisfy boardroom scrutiny.

No district or investor wants to launch a new AI feature without proof that it works fairly and accurately. We offer a secure, real-time dashboard that tracks label accuracy, inter-annotator agreement, and potential demographic bias, providing objective evidence you can trust before any public rollout.

Data teams need to move fast, but traditional outsourcing models create frustrating bottlenecks. Our self-service console and API offer role-based access, letting your team tweak annotation guidelines, download or manage data batches, and submit feedback—all with comprehensive audit logs. This means your workflow stays agile, transparent, and fully under your control.

Legal and compliance teams require proof of data governance from day one, not retrofitted later. Our solution is ISO 27001 certified, FERPA-aligned DPAs are available immediately, and crystal-clear IP ownership clauses for any synthetic data or derivatives. You meet every requirement before anyone asks.

For publishers and edtech companies, the fear of disrupting legacy XML or EPUB workflows is real. Our connectors allow seamless ingest and export for ONIX, EPUB3, SCORM, LTI, IMS CASE, and custom XML formats, so you can add advanced annotation and content generation without risking a single line of your established pipelines.

Quality matters, especially when it comes to education data. That’s why our annotators are not gig workers—they’re experienced instructional designers, former teachers, and domain experts. Your algebra section is labeled by mathematicians; your reading comprehension assets by veteran ELA educators. This approach ensures that every label, tag, and Q&A pair reflects classroom realities and aligns with instructional best practices, so your AI is as effective as the educators you trust.

You shouldn’t have to rewrite your workflows—or be locked into a proprietary system—to benefit from high-quality data. All labels and annotations are delivered in open formats like JSON, CSV, or Parquet, enriched with IMS CASE and Common Core (CCSS) tags for maximum interoperability. You can use these assets in any MLOps stack or analytics pipeline, giving you the flexibility to adapt, integrate, and scale on your terms, without vendor lock-in or technical headaches.

Bias and equity are top concerns for every education leader. That’s why we back our work with a bias-audit SLA: if any demographic group shows more than a 5% performance gap in our live dashboard, we’ll retrain and relabel the affected data at no extra cost. Our commitment to fairness isn’t just talk—it’s written into our process and reflected in every project, so you can deliver equitable AI experiences with confidence.

No hidden costs, no confusing math. Our transparent pricing structure allows you to pay per 1,000 labels, per media minute, or per review hour, with volume discounts that automatically apply and are always visible right in your console. This model empowers you to budget clearly and confidently, with no surprises or retroactive “gotchas” when procurement reviews the contract.

Responsible AI goes beyond compliance. We help you anticipate real-world risks. Our in-house ethics council rigorously reviews every prompt and annotation workflow, vetting for fairness, safety, and age-appropriateness. As a client, you also receive access to a curated library of vetted adversarial test cases, helping you run red-team assessments, meet evolving policy standards, and demonstrate ethical rigor to your boards and stakeholders.