
Safe, district-controlled AI agents for student tutoring, teacher productivity, and family engagement. On ibl.ai you own all the code and the data, run it model-agnostic across any LLM, and pay with no per-seat pricing — so you can deploy anywhere, from your own cloud to a fully air-gapped network. No need to choose build vs. buy — you get both.
How to connect your district systems (SIS, LMS, behavior tracking, parent communication) to AI agents — with FERPA and COPPA compliance.
Read the GuideAn AI-native school district is a district intentionally designed around artificial intelligence as a foundational capability, integrating educators and intelligent systems across tutoring, teacher workload, student services, family engagement and district administration. On ibl.ai you own all the code and the data, so student records and the agents that read them stay inside the district.
An AI-enabled district pilots a chatbot in one building. An AI-native district designs tutoring, early alerts and family communication around agents from the start, with grade-band moderation as a design constraint rather than a setting.
The systems of record decide whether that works: PowerSchool, Infinite Campus or Skyward for student data, Canvas, Schoology or Google Classroom for coursework, and district SSO for identity.
FERPA and COPPA are the binding constraints, and under-13 consent makes them stricter than higher education's. A district that cannot say where student data sits cannot answer a parent.
Four of the book's seven pillars carry over to a district — teaching, operations, governance and infrastructure — with students and families in place of research. See The AI-Native University.
Practitioner training grounded in primary sources. Each course publishes its full design — module outline, learning outcomes, assessment, and the regulations it cites. Request access to run one with your cohort.
The three federal rules governing AI in a district, what each requires of a vendor, and the deployment architecture that satisfies all three at once.
Building a tutoring agent for children — content moderation, self-harm escalation, grooming-pattern detection, and the mandatory-reporter workflow behind it.
Generate standards-aligned lessons that survive a curriculum audit — grounded on your state's standards, your adopted materials, and your scope and sequence.
Cut IEP paperwork without ceding a legally binding decision — drafting present levels, goal writing, and the IDEA requirements no agent can satisfy for you.
What to do when every student has a writing machine — grade-band policy, assessment redesign, and why detection tools create more problems than they solve.
A vertically-aligned AI literacy progression from elementary through high school — what to teach at each band, and the activities that make it concrete.
How ibl.ai compares
ibl.ai gives school and district leaders their own Agentic AI Operating System — deploy, customize, and control AI agents across your schools without vendor lock-in. Your district owns the entire codebase and can extend or modify anything.
24/7 homework help, test prep, and personalized learning paths tailored to each student’s grade level and curriculum.
AI tutors grounded in district-approved materials provide step-by-step explanations, practice problems, and encouragement — available whenever students need support, not just during school hours.
Lesson planning, differentiated materials, and grading assistance that give teachers hours back every week.
Automate the creation of lesson scaffolds, exit tickets, rubric-aligned feedback, and progress reports so teachers can focus on what matters most — teaching.
Counseling support, college and career guidance, and social-emotional learning (SEL) check-ins.
Agents trained on your district’s resources help students navigate course selection, graduation requirements, and post-secondary planning while knowing when to escalate to human counselors.
Multilingual parent communication, enrollment assistance, and school information access.
Help families navigate school processes in their preferred language — from registration and transportation to understanding report cards and upcoming events.
Policy Q&A, new-hire onboarding, and substitute teacher resources.
Reduce the burden on central office staff by giving administrators and substitutes instant, accurate answers grounded in district policies and handbooks.
Dual-layer moderation on inputs and outputs, customizable by grade level.
Every student message is screened before it reaches the AI model, and every AI response is filtered before it reaches the student. Safety rules are configurable by grade band (K-2, 3-5, 6-8, 9-12) so interactions are always age-appropriate.
Own the platform — no vendor lock-in, no surprise pricing changes.
Your district receives the full source code. Host on your infrastructure or ours. Switch AI models anytime. No per-seat fees that escalate as adoption grows.
Automate lesson scaffolding, materials creation, and progress reports.
Teachers spend less time on repetitive tasks and more time on high-impact instruction, differentiation, and student relationships.
See what students ask, where they struggle, and export data for board reports.
District leaders gain visibility into learning patterns across schools. Identify curriculum gaps, track agent usage, and generate audit-ready reports for school board meetings.
Supports OpenAI, Google, and Anthropic models — switch anytime without changing integrations.
As AI models improve and pricing changes, your district can swap providers in minutes. No rewriting agents, no migration projects.
Canvas, Schoology, Google Classroom, Blackboard, Brightspace, and Moodle via LTI.
Students and teachers access AI agents directly within the learning management system they already use every day.
PowerSchool, Infinite Campus, and Skyward.
Agents can query student records, attendance, and schedules to provide contextualized support grounded in real data.
Clever, ClassLink, Google, and Microsoft — FERPA and COPPA compliant.
One-click login for students and teachers using the identity providers your district already manages. No new passwords to remember.
All inputs are screened before reaching the AI model AND all outputs are filtered before reaching students.
Configurable by grade level and subject area. Districts define what topics are off-limits, what language is flagged, and how the AI responds to sensitive questions.
Built for student data privacy from the ground up.
Deploy on your infrastructure so student data never leaves your control. No student data is used for model training. Consent management and data retention policies are fully configurable.
Agents understand developmental context and adjust complexity, tone, and content appropriateness by grade band: K-2, 3-5, 6-8, and 9-12.
A second-grader and a high school junior receive fundamentally different interactions — in vocabulary, depth, and guardrails.
Every agent interaction is logged and auditable.
Administrators can review conversations, flag concerns, and export reports for board meetings and compliance reviews. Full transparency into what students are asking and what the AI is responding.
Flat platform pricing — approximately 10x less than per-seat AI tools at scale.
Whether your district has 1,000 students or 100,000, the cost stays predictable. No per-user fees that punish adoption.
Host anywhere. No lock-in. Modify anything.
Your district receives the complete source code for agents, integrations, and the platform itself. Switch hosting providers, customize the UI, or build entirely new agents — it’s yours.
Free 30-minute session to explore AI opportunities for your schools.
We’ll map your district’s priorities, existing systems, and quick-win opportunities for AI agents.
Deploy in 2-3 schools to validate safety and effectiveness.
Start small, measure results, and build confidence with teachers, parents, and board members before expanding.
Full deployment across all schools with comprehensive training.
Once the pilot proves value, we scale across the district with administrator dashboards, teacher training, and ongoing support.
An AI-native school district is designed around artificial intelligence as a foundational capability — tutoring, teacher workload, student services and family engagement are reconsidered together, not patched with a chatbot.
Ownership is the test: on ibl.ai you own all the code and the data, so FERPA and COPPA obligations stay inside the district rather than resting on a vendor's promise.
Yes. ibl.ai uses dual-layer content moderation — all student inputs are screened before reaching the AI model, and all AI outputs are filtered before reaching students.
Moderation rules are configurable by grade band (K-2, 3-5, 6-8, 9-12) so younger students receive age-appropriate interactions. The platform is COPPA and FERPA compliant by design.
Yes. ibl.ai can be deployed entirely within your district's infrastructure — on-premise or in your cloud environment. Student data stays under your control at all times. You receive the full source code and can host anywhere.
ibl.ai integrates with Canvas, Schoology, Google Classroom, Blackboard, Brightspace, and Moodle via LTI. For SIS, it connects to PowerSchool, Infinite Campus, and Skyward. SSO is supported through Clever, ClassLink, Google, and Microsoft.
Unlike general-purpose AI chatbots, ibl.ai gives districts full control over what students can ask and what the AI can respond.
Every interaction is logged and auditable, content moderation is built in at two layers, and agents are grounded in district-approved curricula — not the open internet.
ibl.ai charges a flat platform fee rather than per-seat pricing. Whether you have 500 students or 50,000, the cost stays the same. At scale, this is roughly 10x less expensive than per-seat AI tools. Your district also owns the full codebase with no vendor lock-in.
A typical rollout follows three phases: a free 30-minute district assessment, a pilot program in 2-3 schools (usually 4-6 weeks), and then district-wide deployment with comprehensive training. Most districts go from first conversation to full deployment in under one semester.
Run a self-hosted, private LLM platform on your own servers — on-premise or air-gapped. You own the code, data, and models, with no per-seat fees.