AI for SIS, analytics and student-success platforms
Let staff ask the data a question, inside the permissions they already have.
Datics builds the AI that SIS, analytics and student-success vendors ship inside their own product: plain-English questions over enrollment, retention and revenue data, answered as tables and charts, with each institution's definitions and permissions kept.
Built for: SIS, analytics and student-success vendors.
admin.northstarcampus.com / reports / ask
Northstar Workforce Academy · Cohortly
DemoStep 1 of 3
Illustrative demo on a fictional institution. Not client work.
Where these products get stuck
- 01
Every question is a report request
Which cohort is slipping, which program fills last, where learners drop: each new question waits for someone to build a report.
- 02
Words mean different things
Term, cohort, active and at-risk mean something different at every institution, and a generic chatbot guesses.
- 03
The strictest terms in the market
Records vendors carry the tightest data terms, so any AI has to inherit permissions and isolation exactly.
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.
Cohortly
Ask your enrollment and retention data
Ask your enrollment and retention data a question in plain English.
Fits: SIS, analytics, student success
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
How it works
One AI feature, working inside your product, in two weeks. $10,000, fixed.
Records and analytics vendors usually start with Cohortly answering twenty of their customers' real reporting questions on a de-identified copy of the schema.
- 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.
Self-serve answers
Report requests closed without engineering time
Accuracy you can check
Share of answers matching a reviewed test set
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.
Plain-English Analytics
Business Intelligence SaaS · Analytics Chat / Natural-Language Data
Plain-English questions answered as tables and charts, within each organization's data
A BI platform where business users ask questions in plain English and get SQL-backed tables, charts and summaries from their own databases.
Adaptive Intake Platform
Healthcare SaaS · Adaptive Intake / Multi-Tenant SaaS
Adaptive intake taken from a one-site prototype to a multi-tenant product
Intake that adapts its questions and writes a structured summary, taken from a single-practice prototype to a multi-tenant SaaS with self-serve onboarding, billing and full isolation.
Controlled Record Release
LegalTech · Records / Controlled Release and Audit
Sensitive records discovered, requested and released under control, with a full audit log
Metadata-first discovery, AI extraction from archives, a tracked request lifecycle, payment and controlled release of sensitive records with audit logging.
Read next: Every new question is a report request. Let your SIS customers ask it themselves
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
Learning platforms and content
LMS, courseware, curriculum and content platforms
K-12 platforms
K-12 SaaS vendors serving districts, schools, teachers and families
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.