Intakely · EdTech AI module
Admissions documents in, a checked application record out.
Intakely reads the documents applicants upload (transcripts, certificates, recommendation letters, résumés), pre-fills the application record, flags what is missing, shows where every field came from and sends anything that affects a decision to staff for approval.
A reference build, not software you license. It ships under your product's name.
app.northstarcampus.com / admissions / transfer / APP-20431
Northstar College · Intakely
DemoStep 1 of 3
Illustrative demo on a fictional institution. Not client work.
The problem
Admissions and credentialing teams retype the same fields from PDFs and phone photos every cycle. It is slow, errors creep in, and nobody wants an AI quietly making admission decisions.
The worked example
Northstar College (fictional). A transfer applicant uploads two transcripts and a certificate.
Document extraction into structured fields, retrieval with citations, and a human approval gate with a full audit log. Each institution's data is isolated. Scope is admissions and credentialing documents only.
AI inside the workflow
Intakely inside the product, not a chatbot beside it.
Switch between the product as it ships today and the same screen with the module working inside it. Ask a question, then approve what it prepares.
Northstar · fictional product
Northstar today: staff open each PDF and phone photo and retype courses, grades and dates.
The assistant runs Intakely, branded as Northstar Intake, the way it would ship under your product's name.
Illustrative demo on a fictional institution. Not client work.
What it does
What Intakely does inside your product.
Best fit: Admissions and credentialing.
Document extraction
Pulls fields from transcripts, certificates and résumés, including scans and phone photos.
Pre-filled records
Writes extracted fields into the application with a confidence score for each.
Cited answers
Every field links back to the page and line it came from.
Missing-item checks
Lists what an application still needs and drafts the request to the applicant.
Approval queue
Anything material, such as a credit evaluation or a status change, waits for a staff member, with an audit log.
Where it comes from: Combines extraction, cited retrieval and approval gates from three systems we delivered.
See the document-extraction work it builds onHow it works
One AI feature, working inside your product, in two weeks. $10,000, fixed.
In two weeks: Intakely extracting your application fields from a set of synthetic sample documents, with field-level accuracy measured.
- 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 dataWork this builds on
Projects we have delivered that use the same engine or the same engineering pattern.
Document Intake Assistant
Financial Advisory · Document Intelligence / Intake Automation
Documents read into the record and multi-step forms pre-filled, with access kept separate
An assistant that reads the decks, notes and documents fund managers submit, pre-fills multi-step onboarding and due-diligence forms, scores them and keeps each user type to its own data.
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.
Other EdTech modules
Pathly
AI course and program recommendations
An advising agent that knows your catalog and books the next step.
Fits: Admissions, enrollment, CE and corporate learning catalogs
Rehearsly
AI skills practice and roleplay
Voice roleplay practice with rubric scoring, inside your course.
Fits: Workforce learning, CE, health-professions education, bootcamps
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
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
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
Lesson to Video
Lesson scripts into microlearning video
Lesson scripts into narrated, on-brand microlearning videos.
Fits: Microlearning, corporate LMS, courseware and CE
See Intakely 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.