Datics AI
AI for EdTech

AI for workforce and CE platforms

Let learners practice the skill, not just finish the course.

For workforce, CE and certification SaaS. Give your customers' learners scored practice inside the platform they already pay for, under your name. Use it to win renewals, or sell it as a paid AI tier.

Book a 30-minute Product Review

Built for: Corporate LMS, CE and certification providers, bootcamp platforms.

Already built or tried AI? Get it scored with the AI Scorecard.

learn.northstarcampus.com / insurance-licensing-ce / practice

In · Practice scenario

Dana, a skeptical prospect, raises price and timing objections on a five-minute voice call, scored against a six-step rubric.

Out · Rehearsly

Score: 3 of 6 rubric steps

  • Open and ask permission
  • Acknowledge the objection
  • Ask about current coverage
  • Present a plan that fits
  • Confirm the budget
  • Agree a specific next step

0:31 · Ask what they have today before presenting a plan.

Run it step by step on the Rehearsly page.

Try it step by step

Illustrative demo on a fictional institution. Not client work.

Where these products get stuck

What gets in the way, and how we handle it.

  1. 01

    Completion is not competence

    Scored voice practice inside your course

    Learners rehearse the conversation against your rubric, with coaching after each attempt.

  2. 02

    Learners stall after one course

    Next course and credential suggestions

    Recommends the next course, certificate or CE credit from your own catalog.

  3. 03

    Practice has to land in the record

    Instructors sign off, and results reach the record

    Scores can be written to your gradebook, CE tracking or HRIS through your APIs; retention follows your customers' settings.

  4. 04

    The big suites are shipping agents

    Roleplay, course drafting and coaching under your name

    Built on engines we've already delivered, not a new research project.

AI inside your product

The modules that fit this kind of platform.

Each one is shown on a fictional institution.

What it connects to: Runs in your course player and writes scores and completions to your gradebook, CE tracking or HRIS through your product's API. The Build Sprint uses your own scenarios and rubric, with recorded test sessions instead of real learners.

Selling compliance training? See Compliance and regulated training

  • Learners practice the conversation and get scored, inside your course.

    Fits: Workforce learning, CE, health-professions education, bootcamps

    See Rehearsly Try the demo

  • From the first program question to a checked application.

    Fits: Admissions, enrollment, credentialing, CE and corporate learning catalogs

    See Pathly Try the demo

  • Course materials in: a draft syllabus, lessons, quizzes and lesson videos out.

    Fits: Higher ed and courseware, CE, microlearning, corporate LMS and compliance training

    See Syllably Try the demo

Proof

What we have built that this rests on.

57 featured AI case studies: AI products and brownfield AI builds, each written up on our Work page.

Insurance Sales Lab

EdTech · Workforce learning / Voice AI

Insurance agents practice calls with an AI prospect, scored on the company's script

Practice used to wait for a human coach, and feedback varied. Now agents call an AI prospect any time and get the same checklist score.

Brownfield AIInside a live productHuman approval
Read case study

A leadership author's company

EdTech · Leadership practice app

Leadership exercises on phone, desktop and web, shipped from one codebase for launch

The app existed only as a web prototype with a store deadline close; we shipped it to phones and desktops from the same code, no rewrite.

ModernizationEdTechUnder client brand
Read case study

NenoBrief by Neno Technologies

Government, Legal & Defense · AI gateway for a live DMS

Archive officers get cited answers inside their live document system, files never copied

Archive records could not reach an outside AI. Now the client's live document system calls our self-hosted gateway for cited answers.

Brownfield AIInside a live productCited answers
Read case study

Read next: Course completions vs. proven skills in corporate training

How it works

Three ways to start, each at a fixed price.

Most workforce platforms start with Rehearsly on three of their own scenarios: it is the clearest way to show a buyer that practice can be measured. If you've already built or tried AI, start with the AI Scorecard.

EdTech Product Review · 30 minutes, no chargeStart here. We look at your product with you, agree the buyer outcome you want, and tell you which of the three below fits.

Book a 30-minute Product Review

No AI yet, and a module fits

Build Sprint

$10,000 fixed3 weeks

Pick it when: One of our modules delivers the outcome you want.

Rehearsly · Pathly · Syllably

  • One buyer outcome (2–3 related capabilities) working in your staging, behind a feature flag
  • Pull requests to your repo, built on your catalog and synthetic or de-identified data
  • Quality and safety evals, the cost to serve and a packaging recommendation
  • A fixed-price quote for production
Start with a Build Sprint See a sample Build Sprint Pack

Something new, or a plan first

Planning Sprint

$5,000 fixed2 weeks

Pick it when: You need something our modules don't cover, or want a plan before you build.

  • Where AI fits across your product, including beyond our modules
  • A prioritized capability map, with what each one depends on
  • A readiness review of your architecture, data and permissions
  • A fixed-price quote to build it and take it to production
Start with a Planning Sprint See a sample Planning Sprint Pack

AI already built or tried

AI Scorecard

$5,000 fixed2 weeks

Pick it when: You've already built or tried an AI feature in your product, live or not.

  • One AI feature you've built, tested in staging on 50 of your own cases
  • Data-safety and misuse tests, and an accessibility pass on the AI screens
  • Cost per learner and a packaging recommendation
  • A scorecard, ranked fixes, draft security answers and a fixed quote

Not a compliance audit or certification.

Start with an AI Scorecard See a sample AI Scorecard

Production, at a fixed quote

We take what your Sprint built or planned live for your customers, by pull request, with no standing production access. It typically includes load testing at your peak and a spend cap per institution. Your Sprint or Scorecard fee counts toward it.

After go-live, optional support

The product is finished and yours to run. If you want us to stay on: a named lead engineer, a monthly quality and cost report, testing before any model change, and more capabilities, each at its own fixed quote.

Stop after any Sprint and keep what you got.

How a Build Sprint runs

  • In the setup week we map your integrations and agree what the Sprint touches.
  • We follow your coding standards, tests and CI; your engineers review and merge every pull request.
  • Half at signature, half when the Sprint Pack is delivered.
  • Your time: about 2 to 3 hours a week from a product owner, plus an engineer to review pull requests.

Product improvements you can measure

What we agree to measure: quality and cost on test sets in the Build Sprint, adoption and outcomes once it is in production, so the decision rests on your numbers, not ours.

01

Scored practice

Measure

Practice sessions per learner and rubric improvement across attempts

02

Faster course creation

Measure

Designer hours per published course

03

Next-course recommendations

Measure

Enrollment in a second course or credential

04

Differentiation in renewals

Measure

Feature adoption and expansion revenue

We set the success measures with you in the setup week.

Built for workforce learning 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.

  • Works with what you run

    Reads catalog, courses, rosters and gradebook through the APIs and roles your product already has.

  • Synthetic data in Sprints

    Sprint work uses synthetic or de-identified data and ships as pull requests to your repo.

  • Cited, and staff approve

    Answers cite their source; anything that changes a grade, application or record waits for staff.

We work within your customers' privacy, HR-data, accessibility and security 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 learner data

Questions we hear on the first call

Straight answers before you book.

Can a practice score count toward CE credit?

Scores are designed to be advisory. An instructor reviews and signs off, and the result can then be written to the CE record through your APIs.

What happens to voice recordings?

Recording retention and consent are set by your customers; recordings aren't used to train models for anyone else.

Does it work with our LMS and HRIS?

Yes, through your product's APIs, plus SCORM or xAPI where your product supports them. We map the integrations in the setup week.

What does a practice session cost to run?

We estimate the cost per practice session in the Build Sprint, on your scenarios and two models, with a packaging recommendation: include it, or sell it as a paid AI tier.

Other EdTech platforms we build for

See scored practice in your own course.

Bring one product, workflow or AI feature. In 30 minutes we tell you which of the three ways to start fits, what it would cost to serve and what your customers' security review will ask.

Book a 30-minute Product Review All EdTech modules

Calls run in US Central time. No generic AI presentation: we discuss your product, users and production constraints.

Book a Product Review