AI for established EdTech software
Your EdTech platform, with the AI everyone's asking for.
For established EdTech platforms. We build it inside the product you already run, under your name, so you can win renewals and RFPs, or sell it as a paid AI tier.
- Built inside your product, under your name
- Runs in your cloud, on your model, by default
- Synthetic or de-identified data in every Sprint
Three ways to start, from $5,000: Build Sprint · Planning Sprint · AI Scorecard
Building for LMS, SIS or K-12? See all six platforms ↓
learn.northstarcampus.com / practice / results
Northstar Workforce Academy · Practice results
AI scoredRehearsly by Datics AI · Try it step by step →
Illustrative demo on a fictional institution. Not client work.
Who it's for
Built for established EdTech SaaS.
Each page leads with the modules that fit that kind of platform, the controls its buyers ask about and where most teams start.
Workforce and CE platforms
Compliance and regulated training
Admissions and enrollment platforms
Learning platforms
Student-records (SIS) software
K-12 software
Don't see your platform here? We likely cover it.
Book a 30-minute Product ReviewWhy established EdTech products stall on AI
What gets in the way, and how we handle it.
- 01
AI is a line item in RFPs and renewals
Demo-ready AI inside your product
Working in your staging, under your name, after a three-week Build Sprint.
- 02
Your data model wasn't built for AI
Reads through your existing APIs and roles
Each user sees only what they already can. No rebuild.
- 03
The pilot stalls at the security review
Controls and evidence designed for your customers' security reviews
Approvals, audit logs and a data-flow sheet from the first Sprint.
- 04
Per-learner pricing, per-use AI cost
Cost per learner estimated before launch
With a packaging recommendation: include it, or sell it as a paid AI tier.
- 05
Term start is the load test
Load testing at your peak, with spend caps per institution
Part of what production typically includes.
Why AI earns its place in your product
Grow revenue
Sell AI, don't just add it.
Sell it as a paid AI tier, or include it to protect renewals.
Keep customers
Prove outcomes, not activity.
Skills practiced and scored, not just courses completed.
Ship safely
Made for security review.
Answer the AI questions in your customers' security reviews.
Modules by Datics AI
Start from AI we've already built, not from zero.
Each module runs on Northstar, our fictional demo product, so you can see it before you buy. Each one builds on AI we've already delivered.
From the first program question to a checked application.
Fits: Admissions, enrollment, credentialing, CE and corporate learning catalogs
Learners practice the conversation and get scored, inside your course.
Fits: Workforce learning, CE, health-professions education, bootcamps
Course materials in: a draft syllabus, lessons, quizzes and lesson videos out.
Fits: Higher ed and courseware, CE, microlearning, corporate LMS and compliance training
A support agent for your learners and admins, grounded in your help center.
Fits: LMS support, student services
Ask your enrollment and retention data a question in plain English.
Fits: SIS, analytics, student success, compliance-training completion
An AI-assisted review of your product against WCAG 2.1 AA, with fixes your team can ship.
Fits: Any vendor selling to public colleges, universities or districts
Proof
Our EdTech work.
Learning products we've shipped, and the AI engines behind our modules.
Hundreds of engineers across our team and partner network · 57 featured AI case studies
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.
IDLance
EdTech · Members only agency directory
Freelance instructional designers find vetted agencies in a directory built into their program
Agency leads used to come from word of mouth and stale lists; now program members search a moderated, protected directory included with enrollment.
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.
The engines behind the modules
Cosmic AI
B2B Software · Multi-tenant AI analytics SaaS
Companies onboard themselves and connect several databases to one AI copilot, kept apart
Every new customer used to need its own copilot instance. Now a company signs up, connects several databases and invites its team.
Regulated investment platform
Financial Services · Investment Operations Software
Adding production AI around a regulated investment platform without replacing its .NET core
Production AI and automation added around a regulated .NET investment platform instead of rebuilding the core.
Our own product
B2B Software · AI support assistant
Support chats answered from each company's own content, with handoff to a person
Bots that answer from the wrong content lose visitors. Each chatbot in our assistant answers from its own knowledge base and hands off to an agent.
How it works
Three ways to start, each at a fixed price.
A 30-minute review tells you which one fits. Whichever you pick, you know the production price before you commit, and your fee counts toward it.
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 ReviewNo AI yet, and a module fits
Build Sprint
$10,000 fixed3 weeks
Pick it when: One of our modules delivers the outcome you want.
Pathly · Rehearsly · Syllably · Docently · Cohortly
- 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
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
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.
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.
Need integrations or an accessibility review? Ask in the Product Review.
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.
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 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 dataIn AI and data since2018
- AWS: Select Tier Partner
- Anthropic: Partner · Claude models
- CopilotKit: Agent user interface
- LangGraph: Production agent engineering
- Databricks: Governed AI & agent workflows
- Cursor: Agentic development environment
- Microsoft Azure: Production AI delivery
- Google Cloud: Production AI delivery
AI shipped inside products for
Questions we hear on the first call
Straight answers before you book.
The questions EdTech product and engineering leaders ask most.
How do we know if a Sprint worked?
In the setup week we agree the quality bar on your eval set. The Sprint Pack shows the results against it, so the go or no-go decision is yours, on evidence. If the Sprint doesn't meet the bar we agreed, you keep what we built and there's no obligation to continue.
What happens after a Sprint, and who keeps it working?
You get a fixed-price quote for production, and the fee counts toward it. If you go ahead, we take it to production at that quote, changing only what your product needs. At launch it's a finished product you can run yourself. If you want, we can stay on for quality checks, model updates and cost watch, and add more capabilities, each at its own fixed quote; any ongoing scope is set out in your agreement. If you stop, you keep what you got: the pull requests in your repository and the Sprint Pack, the plan, or the scorecard, on the terms in your contract.
Do you need access to our production student data?
No. Every Sprint and the AI Scorecard run on synthetic or de-identified data, production student data stays in your cloud under your access controls, and code reaches your product as pull requests. In production we work only through access you grant, and you can revoke it at any time.
How do you handle FERPA and COPPA?
Compliance belongs to your complete product, contracts and policies, so we do not claim it for software alone. We work within your FERPA, COPPA, accessibility and institutional requirements, with approval steps, audit logs and data isolation.
Do you have SOC 2?
Not yet. We work in your staging by pull request. In production we work only through access you grant, and you can revoke it at any time.
How do you stop it giving learners wrong answers?
It answers only from your sources and shows them. When nothing covers the question, it hands off to staff instead of guessing. Anything that affects a grade, application or record waits for staff approval. And we measure all of it on your own eval set before launch.
Which AI models do you use?
Your choice. We work with the major model providers and self-hosted models, list the approved endpoints with region and retention, and don't use your data to train models for anyone else. The Sprint Pack compares the cost on two models.
Can't our own team build this?
Your team can build a demo. Shipping it into a live multi-tenant product, inside your permissions, tested on your cases, with a cost model and security answers, is what we do, starting from engines we've already delivered. Your team reviews every pull request, and the code lives in your repository.
Why you, not our LMS vendor's AI or a point tool?
A platform vendor's AI usually ships under their brand, built for their data model rather than yours, and is hard to charge for. Ours ships under your name, inside your permissions, and you can choose to include it or sell it as a paid tier.
Who owns the code and the feature?
What we build for your product lives in your repository and ships under your name. The reusable engine underneath stays ours and is licensed to you; the terms are in your contract.
Can you integrate with our LMS, SIS or rostering?
Yes, as part of the build, against the standards your product already supports (LTI 1.3, OneRoster, Clever and ClassLink, Ed-Fi, xAPI and SCORM, SSO through SAML or OpenID Connect), tested in your sandbox. We scope integrations in the Product Review.
Where are you based?
Datics is headquartered in Austin, Texas, with a named lead engineer and US-hours overlap on every engagement.
See it on your own product.
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.
Own several EdTech products? Datics for private equityCalls run in US Central time. No generic AI presentation: we discuss your product, users and production constraints.