What is Education & EdTech AI Solutions AI Solutions?
FERPA-aligned educational AI systems that automate admissions triage, student advising lookups, rubric feedback drafting, and multilingual communication without compromising student privacy.
Accelerate student enrollment and relieve academic administrative burdens. We build 24/7 admissions assistants, course prerequisite advisors, formative rubric feedback pipelines, and multilingual parent notification systems integrated with Canvas, Blackboard, and Zoom.
Canvas & LMS Write-back · FERPA Compliant Data Vaults · Zero Hallucinated Admissions Rules
30 minutes · Senior engineer · No commitment
Ranked opportunities — production systems, not demo chat widgets.
Grounded exclusively in institutional course catalogs, scholarship rules, and transfer credit policies. Guides applicants step-by-step through admissions requirements.
Helps enrolled students explore degree pathways, cross-reference prerequisite trees, check elective availability, and schedule counseling appointments.
Evaluates student draft essays or code against instructor-defined rubrics, generating granular constructive critique and highlighting areas for improvement for teacher review.
Translates campus alerts, attendance notices, and report cards into 30+ native languages, delivering updates seamlessly via SMS and WhatsApp.
How education & edtech ai solutions teams typically put AI into an operating process.
Prospective student asks complex transfer credit question; AI verifies policy and directs application process.
Student submits draft history essay; AI generates rubric-aligned feedback points for teacher review.
Prospective students waiting days for answers regarding application deadlines, prerequisite transfers, and tuition fees, leading to enrollment drop-off.
Students struggling to navigate complex course catalogs and degree requirement matrices, resulting in missed prerequisite courses and delayed graduations.
Instructors and TAs spending dozens of hours writing repetitive qualitative feedback on draft essays, problem sets, and coding assignments.
Important school announcements, attendance warnings, and academic progress updates failing to reach non-native English speaking families.
150+ products shipped · Engineer-led delivery · QA sign-off on production AI.
We map the operating process before choosing a model, vendor, or chatbot skin.
CRM, helpdesk, telephony, and ops write-back — not a widget that dumps transcripts into email.
We will say when AI automation does not make sense and recommend software, QA, or process work instead.
Laravel, React, n8n, and LLM systems from one accountable squad — including post-launch tuning.
Student records and grades are protected by strict role-based access; student submissions are never retained or used to train foundational AI models.
The system is restricted to formative feedback and guidance; official grade records remain exclusively within the certified LMS with human teacher sign-off.
All database tables, transcripts, and student identifiers are encrypted with AES-256 both in transit and at rest.
“MTS EdTech Platform: Live Video & Classroom Integration — 500+ Daily Classrooms”
At-a-glance scope, pricing tiers, delivery timelines, engineering tradeoffs, and decision criteria for technical founders and product leaders.
FERPA-aligned educational AI systems that automate admissions triage, student advising lookups, rubric feedback drafting, and multilingual communication without compromising student privacy.
GreeLogix pricing tiers: Admissions Enrollment Pilot: $4,500 – $7,500 — 24/7 admissions assistant with catalog RAG, transfer credit lookups, and Slate CRM integration. Full Campus & LMS Operations: $9,500 – $18,000 — Canvas LMS integration, formative rubric feedback drafting, and multilingual parent SMS notifications.
Narrow chatbot or workflow: 2–4 weeks. Multi-system industry slice: 4–8 weeks. Managed tuning: monthly retainer.
Compare delivery models, cost profiles, and engineering tradeoffs before committing resources.
| Option / Approach | Best When | Primary Tradeoff / Risk | Recommended Fit |
|---|---|---|---|
| Off-the-shelf chatbot SaaS | Generic FAQs with no CRM write-back or industry workflow | Recurring per-seat software fees, inflexible workflow constraints, and zero proprietary software or IP ownership. | Standard non-differentiating processes |
| In-house ML team | You already have production ML engineers and want to own model training | 3–6 month hiring cycle, high recruitment fees, and fixed long-term payroll overhead regardless of development volume. | Companies with dedicated HR pods |
| DIY Zapier / Make | Simple two-step automations with no custom logic, RAG, or compliance needs | Scalability bottlenecks, vendor lock-in, architectural rigidity, and substantial technical debt before handling production traffic. | Early validation & UI experiments |
| Industry software vendor | A vertical SaaS already covers the workflow and you only need configuration | Requires ongoing internal technical governance, architectural oversight, and dedicated maintenance resources. | Self-directed internal teams |
| GreeLogix Pod | Accountable production delivery with senior engineers, weekly demos, and fixed milestone velocity. | Requires active product owner for weekly sprint reviews and scope alignment. | Production & Scaling (Recommended) |
Talk to a senior engineer — scope, timeline, and cost range in one 30-minute call. No sales script.
FERPA-aligned AI systems for universities, K-12 school districts, and EdTech platforms. Automated admissions enrollment assistants, course prerequisite advising bots, formative rubric feedback engines, and multilingual parent communications.
Prospective student asks complex transfer credit question; AI verifies policy and directs application process.
Student submits draft history essay; AI generates rubric-aligned feedback points for teacher review.
AI is a fit in education & edtech ai solutions when the workflow is repeatable, measurable, and tied to a system of record.
We will not recommend AI automation in education & edtech ai solutions when the process, data, or ownership is missing.
Answers to the buyer questions we hear most before a project starts.
Yes. All data pipelines comply with FERPA requirements. Student records are encrypted, never retained by foundational model providers (OpenAI Enterprise BAA terms), and isolated using institutional role-based access control.
The AI operates under strict RAG constraints. It references only your verified institutional catalog, prerequisite trees, and course schedules. If a degree policy is ambiguous, it immediately directs the student to schedule an advising session with their human academic counselor.
Yes. We integrate using modern LTI 1.3 standards and REST APIs for Canvas, Blackboard, and Moodle, allowing seamless assignment rubric reading and submission feedback delivery within the student portal.
No. The engine is designed exclusively for formative feedback (constructive critique on drafts to help students improve) and provides draft recommendations for teachers. Official grading authority remains 100% in the hands of the instructor.
Review admissions FAQs, transfer credit tables, and course catalogs.
Build vector database of academic policies, degree plans, and rubrics.
Connect Canvas, Blackboard, Slate, and campus communications systems.
Validate against historical admissions inquiries before public deployment.
Tell us about your institution type, student enrollment, and learning management systems. We'll design a customized educational AI solution.
From chatbots and voice agents to workflow automation — pick the capability that matches your roadmap.
Use our free calculators and planners — then book a strategy call when you are ready for a senior engineer review.
Case studies, guides, and free tools from the same engineering team.
Vertical workflows first — then models, integrations, and QA. Not a generic chatbot dropped on a homepage.
Interview operators, inventory systems of record, and define data boundaries for the vertical.
Score opportunities by ROI, integration risk, and whether AI is actually the right lever.
Staging build with PII filters, human fallback, and realistic records — not demo copy.
Deploy with logging, cost caps, and a KPI dashboard the buyer can defend internally.
Retainer for prompt/integration drift, or runbooks so your team can own the system.
Tangible artifacts your engineering and product teams can act on — not vague pass/fail notes.
Transparent ranges based on app complexity, platform count, and engagement depth. Final quotes follow a scoping call.
$4,500 – $7,500
24/7 admissions assistant with catalog RAG, transfer credit lookups, and Slate CRM integration.
$9,500 – $18,000
Canvas LMS integration, formative rubric feedback drafting, and multilingual parent SMS notifications.
Prices in USD. Retainers and multi-platform engagements quoted after scope review. See agency pricing or explore QA as a Service for ongoing coverage.
Capability pages, outcome pages, and published industry clusters — same commercial architecture.
Browse the full cluster from Industry AI Solutions.
Scope, timeline, and cost range — no sales deck. Or start with the free readiness quiz if you are still evaluating your stack.

You'll talk to Abuzer — the senior engineer who'll scope your build
Founder & Senior Engineer · Response within 4 business hours
Book a Free 30-Min CallResponse within 4 business hours · No commitment on first call