AI for LMS, courseware and content platforms
Help desk answers and draft courses, inside the platform teachers already use.
Datics builds the AI that learning platforms ship inside their own product: a support agent trained on your help center, course drafting from source documents and lesson-to-video, under your name.
Built for: LMS, courseware, curriculum and content platforms.
admin.northstarcampus.com / help
Northstar Workforce Academy · Docently
DemoStep 1 of 5
Illustrative demo on a fictional institution. Not client work.
Where these products get stuck
- 01
Term start floods support
Every term brings the same how-do-I tickets from learners, instructors and admins, answered by hand.
- 02
Teachers already use AI elsewhere
Instructors paste content into consumer AI tools outside your product, where you have no controls and no credit.
- 03
Generic AI drifts from the source
Drafts that wander away from the curriculum or the source document create review work instead of saving it.
AI inside your product
The modules that fit this kind of platform.
Each one is a reference build shown on a fictional institution. It runs inside your product, on your data, and ships under your name.
Docently
AI support for your LMS and learners
A support agent for your learners and admins, trained on your help center.
Fits: LMS support, student services, K-12
Course Builder
AI course drafting from source documents
From an SOP or policy PDF to a draft course your instructional designers can edit.
Fits: Corporate LMS, compliance training, courseware and CE
Lesson to Video
Lesson scripts into microlearning video
Lesson scripts into narrated, on-brand microlearning videos.
Fits: Microlearning, corporate LMS, courseware and CE
Accessibility Check
WCAG reviews ahead of ADA Title II
An AI-assisted WCAG 2.1 AA review of your product, with fixes your team can ship.
Fits: Any vendor selling to public colleges, universities or districts
How it works
One AI feature, working inside your product, in two weeks. $10,000, fixed.
Learning platforms usually start with Docently on their real help center, tested against past tickets, or with Course Builder on three customer documents.
- 01
EdTech Product Review
30 minutes, free
We look at your product with you and pick the module or capability that protects your next release, what it would cost to serve, and what your customers' security review will ask.
- 02
The Sprint
$10,000, two weeks, fixed
One AI feature working inside your product: running in your staging environment on your catalog, documents or synthetic data, behind a feature flag, delivered as pull requests. You also get quality and safety evals, a cost estimate on two models, a data-flow sheet and a fixed-price quote for production.
- 03
Targeted Unlock, then Capability Waves
Quoted at the end of the Sprint
The first production capability, delivered by pull request into your repo with no standing production access. Then the next module, on the foundation the first one built.
Built for education data
Controls your customers' security reviews ask about.
Each control is a design fact about how the module is built and how we work, not a compliance claim.
- Runs on your catalog, documents or data through the APIs your product already exposes. No rebuild.
- Sprint work uses synthetic or de-identified data and ships as pull requests to your repo. No production student data.
- Every answer that matters shows its source; material actions go to a person for approval.
- Built around FERPA, COPPA, accessibility and institutional requirements.
- Built to ship under your product's name. Model and hosting are your choice.
We build around your FERPA, COPPA, accessibility, security and institutional requirements. Compliance depends on the complete product, contracts, policies and operating environment; Datics does not present software engineering alone as legal certification.
How we handle student dataProduct improvements you can measure
What we agree to measure in the Sprint, so the production decision rests on your numbers, not ours.
In-product answers
Share of how-do-I questions answered without a ticket
Course drafting
Designer hours per published course
Accessible content
WCAG 2.1 AA issues closed per release
Proof
What we have built that this rests on.
33 case studies across 17 industries, 19 of them AI products or brownfield AI builds shipped inside software customers already use. Each EdTech module starts from one of those engines, so you are not paying for us to learn.
AI Knowledge and Support Agent
Cloud Storage Software · Support Agent / Knowledge Retrieval
An AI agent that answers from knowledge spread across cloud storage, inside Slack and Teams
AI that ingests and indexes documents and pages across several cloud-storage providers and answers in Slack, checking approved answers first and falling back cleanly when it has nothing relevant.
Cited Knowledge Workspace
Knowledge & Document Software · Knowledge Retrieval / Cited Answers
Answers grounded in an organization's own documents, with every source cited
A self-hosted workspace that extracts documents, answers questions with citations, respects who may see what, and helps people write.
Document-to-Structure Suite
Enterprise Process Modeling · Content Generation / Structured Drafting
Source documents turned into structured models, SOPs and job aids
Word and PDF process documentation turned into standard BPMN models, SOPs and job aids, shipped as a subscription product over six releases.
Read next: Teachers already use AI. Your learning platform can catch up without a rebuild
Other EdTech platforms we build for
Workforce learning
Corporate LMS, CE and certification providers, bootcamp platforms
Admissions and enrollment
Enrollment CRM, application and student-recruitment platforms
Startups and training providers
Funded EdTech startups, academies, marketplaces and training providers
K-12 platforms
K-12 SaaS vendors serving districts, schools, teachers and families
Student records and analytics
SIS, analytics and student-success vendors
See one module on your own product.
Bring one product, workflow or AI initiative. In 30 minutes we pick the module that fits first, what it would cost to serve and what your customers' security review will ask.
Calls run in US Central time. No generic AI presentation: we discuss your product, users and production constraints.