Clarity for procurement

Pricing

$1,500 is the wedge. $3,000 Lab Course is the product most programs adopt. AI Faculty ($5,000–$7,500) is priced for institutions building autonomous instruction at scale—not “AI features.”

Overview

Course Pack Most popular
Lab Course		 AI Faculty
Price $1,500 $3,000 $5,000–$7,500
Format IMSCC IMSCC + GitHub Full stack + AI Faculty
Lectures Instructor AI-delivered AI-led (Dialogic)
Labs Basic Codespaces Codespaces
Grading Manual Assisted Automated (BEATRICE)
Tutoring — — SAMWISE (per student)

Detailed breakdown

Course Pack — $1,500

  • IMSCC package for LMS import
  • Slides and structured modules
  • Assignments and rubrics

Use as a foot-in-the-door. Don’t optimize the business around this tier—optimize for upgrade to Lab Course.

Lab Course — $3,000

  • GitHub repos per course / assignment
  • Codespaces configurations
  • AI lecture delivery (baseline Dialogic)

This is the tier that matches how technical faculty actually teach. Lead here in conversations with deans and program directors.

AI Faculty — $5,000–$7,500

  • Dialogic — interactive lecture mode
  • SAMWISE — AI Tutor (scoped per student)
  • BEATRICE — grading, feedback, progress signals

Price confidently: this is autonomous instruction, not a bundle of “AI tools.”

Add-ons

SAMWISE+

$25–$75 per student

Unlimited AI tutoring—layer onto existing course deployments.

Insight Layer

$1,500–$3,000

xAPI streaming, analytics views, credential readiness—pairs with your LRS (local or cloud).

FAQs

LMS compatibility?
Course Pack ships as IMSCC for broad compatibility. Lab Course and AI Faculty use GitHub and standard web runtimes—your LMS wraps links and LTI where you need single sign-on; we don’t ask you to rip out what already works.
Hosting requirements?
Student-facing labs run in GitHub Codespaces (or equivalent cloud dev environments you approve). AI Faculty components connect to Castalia-managed endpoints; data processing follows your institution’s agreements—no surprise data residency story at the contract stage.
Data privacy?
Architect for FERPA-aligned workflows: role separation, audit trails, and export. SAMWISE and BEATRICE retain only what the course policy defines; Insight Layer maps to xAPI statements you control.
Offline or air-gapped options?
For restricted environments, pair Course Pack + local runners; an on-prem or “appliance” style deployment is a roadmap conversation—lead with Lab Course in connected environments first, then map isolation requirements with IT.

Ready to deploy?

Request a sample IMSCC or schedule a pilot conversation—same form, different outcomes.

Request Pilot Request Sample IMSCC