What is Agentic OS and how does it differ from a traditional data warehouse?

Agentic OS is an AI operating system that creates a secure, per-learner memory layer by unifying data from SIS, LMS, CRM, and ERP systems. Unlike traditional data warehouses, it provides policy-aware retrieval with fine-grained consent controls, enabling AI agents to access contextual student data while maintaining FERPA compliance.

Can we deploy Agentic OS in our own infrastructure?

Yes. Agentic OS can be deployed on-premise or in your cloud (AWS, Azure, GCP) using your VPC, KMS, and IAM. You receive full source code access to connectors, policy engine, and agent interfaces—no vendor lock-in.

What systems does Agentic OS integrate with?

Agentic OS connects to major campus systems including SIS (Ellucian Banner, PeopleSoft, Colleague), LMS (Canvas, Blackboard, Brightspace, Moodle), CRM (Salesforce, Slate), ERP (Workday, Oracle, Dynamics), and identity providers (Azure AD, Okta, Google Workspace).

How does Agentic OS handle student privacy and FERPA compliance?

Agentic OS includes privacy by design with field-level permissions, PII redaction, consent receipts, and selective disclosure. Students can control what data is shared with AI agents, and all access is logged for audit purposes.

What AI agents can run on Agentic OS?

Agentic OS powers three primary agent types: Tutors for students (personalized academic support), Teaching Assistants for instructors (workflow automation and course support), and Digital Assistants for administrators (operational intelligence). All agents are LLM-agnostic and can use OpenAI, Claude, Gemini, or local models.

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Agentic OS (Operating System)

Unify district data into a secure student memory layer—powering personalized tutors, teacher assistants, and admin tools with an ownable AI operating system. No need to choose build vs. buy — you get both.

Sector:

Your Code. Your Data.Full ownership, zero vendor lock-in

Any LLM, Your ChoiceAir-gapped or any cloud provider's

85% Lower CostSignificantly cheaper at scale

AI TransformationPre-existing and custom agents

1.6M+Platform Users

400+Organizations

MCP Architecture Guide for K-12

How to connect your district systems (SIS, LMS, behavior tracking, parent communication) to AI agents — with FERPA and COPPA compliance.

Read the Guide

Runs on

Air-Gapped AI Anthropic Claude Google Gemini Microsoft Copilot Amazon Bedrock OpenAI GPT NVIDIA NemoClaw OpenClaw

1 / 5

Tutoring AgentAdaptive help in math, reading, and science

Lesson Planning AgentStandards-aligned lessons and unit plans

Assessment AgentQuiz generation, rubrics, auto-grading

Writing Feedback AgentStudent writing review and comments

Special Education AgentIEP, 504, and accommodation support

Content Creation AgentWorksheets, presentations, activities

Student Safety AgentContent moderation and guardrails

Family Communication AgentParent updates and newsletters

Curriculum Alignment AgentStandards mapping and compliance

Professional Development AgentTeacher training and coaching

Research AgentStudent research and source finding

Administration AgentScheduling, reporting, operations

OS (Operating System) — Unify district data into a secure student memory layer

An Ownable AI Operating System for K-12 Education.

OS by ibl.ai connects SIS, LMS, rostering, and assessment systems over an MCP-based interoperability layer to assemble a secure, per-student memory.

That memory gives your AI agents the right context—so every student gets a personalized tutor, every teacher an intelligent assistant, and every district administrator a data-driven aide.

Deployed in your infrastructure with your keys and your controls—including full code access.

For K-12 Students: Personalized, Age-Appropriate Tutors

Unified Student MemoryGrade history, course enrollments, IEP/504 plans, assessment scores, and learning goals—federated from your SIS/LMS and made available (with policy guardrails) to the student's tutor.

Personalized LearningAdaptive practice, reading-level-adjusted explanations, and citable answers grounded in approved curriculum and state standards.

Safety by DesignAge-appropriate content filters, parental consent controls, and selective disclosure for every interaction.

ResultBetter engagement, improved proficiency, stronger equity outcomes.

For Teachers: A Reliable Digital Teaching Assistant

Classroom Context, Not GuessworkPulls rosters, standards alignments, assessment data, and prior performance to draft lesson support, differentiated activities, and interventions.

Workflow AutomationsParent communication drafts, progress report summaries, and formative assessment hints—always citing approved curricular sources.

Instructional ControlSchool- and district-level policies, versioned prompts, and oversight dashboards.

ResultMore time for instruction and relationships, less time on paperwork.

For District IT: Own the Stack, Protect Student Data

Runs in Your EnvironmentDeploy on-prem or in your cloud (AWS, Azure, GCP). Your VPC, your KMS, your IAM—no external data dependencies.

Full Code Access (No One Else Offers This)You receive source access to connectors, policy engine, and agent interfaces—no vendor lock-in.

Governance & ComplianceCOPPA/CIPA/FERPA support, state student privacy laws, RBAC, audit logs, retention, and data residency options.

Observability & Cost ControlUsage telemetry, model costs, performance traces, and content-safety tools for safe deployment.

ResultMaximum student privacy, predictable cost, and responsible AI adoption—under your control.

What OS Connects (Examples)

SISPowerSchool, Infinite Campus, Skyward, Aeries

LMSGoogle Classroom, Canvas, Schoology, Brightspace

RosteringClever, ClassLink, OneRoster

AssessmentsNWEA MAP, Renaissance Star, iReady, state testing platforms

Identity & StorageGoogle Workspace for Education, Microsoft 365 Education, Clever SSO

What's Inside OS (Architecture Highlights)

MCP Integration LayerNormalizes access to SIS/LMS/rostering/assessment systems via secure adapters

Student Memory LayerPer-student knowledge graph + vector index with policy-aware, age-appropriate retrieval

Policy & Guardrails EngineField-level permissions, PII redaction, parental consent, content-safety filters

Agent InterfacesTutor (student), Teaching Assistant (teacher), Admin Assistant (district staff)

Model Hub (LLM-Agnostic)OpenAI, Gemini, Anthropic, Llama, local/NPU options—hot-swappable

Event Bus & AutomationsTriggers for attendance alerts, grade milestones, intervention referrals

Audit & TelemetryEnd-to-end logs, prompt/response archives, cost and latency meters

Admin ConsoleConnectors, schemas, dataset scopes, memory visibility, and policy editing

Why OS Outperforms Typical Integration Hubs

Student Memory LayerOS: Policy-aware, per-student context | Typical: No unified memory

Runs in Your InfraOS: Your VPC, keys, IAM | Typical: Vendor cloud only

Full Code AccessOS: Source delivered, extensible | Typical: Black box / SDK limits

LLM-AgnosticOS: Swap models freely (incl. local) | Typical: Single-model dependency

K-12 GovernanceOS: COPPA/CIPA/FERPA-ready, parental consent | Typical: Generic role gates

Agent-ReadyOS: Standard tutor/TA/admin interfaces | Typical: DIY agent plumbing

Benefits That Drive Impact

StudentsPersonalized, age-appropriate help across subjects and grade levels.

TeachersA dependable teaching assistant informed by real student data and curriculum standards.

District Leaders & ITA private, ownable AI foundation—no lock-in, full auditability, student-safe by design.

OS + mentorAI + skillsAI + courseAI + credentialAI

OS supplies the secure memory and connectors; mentorAI provides tutoring experiences; skillsAI delivers adaptive practice and analytics.

courseAI designs standards-aligned curricula; credentialAI issues portable, verifiable proof of learning. Together, they form an ownable AI operating system for K-12 education.