First-year courses routinely enrol hundreds of students. Tutorial sessions run at 20-30 students per tutor, and office hours serve a fraction of those who need help. Students who fall behind early rarely recover, and the students most in need of support are often the least likely to seek it out in person.

Large class sizes with limited tutoring capacity

Students already use AI tools for coursework. Completing a task with AI does not by itself show that a student understands it. Teaching settings should support learning through suitable explanations, practice and opportunities for students to explain their reasoning.

Generic AI tools undermine learning

A mathematics course needs LaTeX rendering and step-by-step problem scaffolding. A law course needs case analysis and argument construction. A nursing course needs clinical reasoning practice. No single AI configuration works across all disciplines, and university IT teams cannot build custom solutions for every faculty.

Diverse faculties need different configurations

Bloom provides AI-powered learning support across university faculties with configurable guidance, educator-uploaded course materials and institution-level deployment controls.

Universities need to support students with different levels of preparation across large classes. Bloom provides learning support grounded in course materials, with teaching settings that allow staff to choose the explanations, examples, questions and practice appropriate to their course.

Universities

Students can ask for help whenever they study. Bloom draws on uploaded course materials and can offer explanations, examples or questions within the teaching settings chosen for the course.

Scalable learning support available around the clock

Course staff can configure topic boundaries and restrict assistance for flagged assessments. Separate teaching controls determine how much explanation, working, answer detail and code students may receive for learning tasks.

Pedagogical guardrails that prevent answer-giving

Each course gets its own AI tutor with its own knowledge base, guardrails, and pedagogical settings. A single university deployment supports mathematics with LaTeX, humanities with argument scaffolding, and health sciences with clinical reasoning, all managed through teaching spaces with role-based access for faculty and department administrators.

Per-course configuration across any discipline

AI for Learning at Universities

A secondary school teacher with five classes of 25-30 students sees 125-150 learners per day. Differentiating instruction for each student (identifying gaps, providing targeted support, adjusting pace) is the goal of good teaching, but the mathematics of one teacher per 30 students make genuine individualization impossible for most contact hours.

Teachers cannot provide individual attention at scale

Parents and administrators worry about students interacting with AI that can discuss any topic without boundaries. Schools need assurance that an AI tutor will not expose students to inappropriate content, engage in off-topic conversations, or provide information outside the intended scope. Generic AI tools do not offer the granular content controls schools require.

Safety and age-appropriateness concerns

Schools follow specific curricula: national standards, state syllabi, exam board specifications. An AI tutor that draws on general knowledge rather than the specific content students are assessed on creates confusion. Worse, if students use AI to complete assignments rather than learn the material, it undermines the assessment process entirely.

Curriculum alignment and assessment integrity

Bloom provides age-appropriate AI learning support for secondary schools with content safety guardrails, curriculum alignment, and educator oversight built in.

Secondary schools need to provide learning support while maintaining educator oversight and assessment boundaries. Bloom draws on curriculum materials and provides configurable guidance, topic restrictions and practice tools so schools can choose how students receive help.

Secondary Schools

Students can share what they understand and where they are stuck. Bloom can offer explanations, examples or smaller steps within the teaching settings. Teachers can preview responses and adjust support to suit their learners and course materials.

Individualized tutoring within every classroom

Bloom applies education-specific content filtering that goes beyond standard AI safety. Educators configure topic boundaries per subject, so the tutor stays within the scope of the course content and redirects off-topic queries. Content moderation catches inappropriate requests before they reach the model. These are platform-level controls, not suggestions the AI can be talked out of.

Multi-layer content safety designed for schools

Teachers upload curriculum documents, textbook content and lesson materials to ground support in the course. Staff can restrict assistance for flagged assessment questions while allowing explanations and worked examples for other learning tasks.

Curriculum-grounded responses with assessment guardrails

AI Learning Platform for Secondary Schools

A single community college algebra class may include students who nearly placed into calculus alongside students who struggle with fractions. Instructors face the impossible task of teaching to this range simultaneously. Students who need foundational support often do not receive enough of it, while better-prepared students are under-challenged.

Wide variation in student preparation

Community colleges typically operate with lower per-student funding than four-year institutions. Tutoring centers are often understaffed, with limited hours. Many students work part-time or full-time and cannot attend tutoring during business hours. The students who most need academic support have the least access to it.

Limited budgets for support services

Introductory courses in mathematics, English, and sciences serve as gateways to degree completion. Students who fail these courses often do not persist. Nationally, community college completion rates remain below 40%. The challenge is not that students lack ability. The support structures simply do not scale to the level of individualized help many students require.

High attrition in gateway courses

Bloom supports community college students with varied preparation levels through configurable learning support, flexible deployment and accessible pricing.

Community colleges serve recent school leavers and adults returning to study with different levels of preparation. Bloom offers support grounded in course materials, with teaching settings that let staff provide more explanation and examples where needed or more independent practice when learners are ready.

Community Colleges

Students may need to revisit a prerequisite concept before returning to a course problem. For example, an algebra learner can ask for an explanation of fraction operations or a worked example, within the teaching settings. Instructors can use their knowledge of student preparation to configure and review that support.

Adaptive tutoring that meets each student's level

Bloom is available 24/7 through a web browser on any device, with no app installation required. Students who work evening shifts can study at midnight. Students without reliable home internet can use it on a phone between classes. This addresses the access gap that limits in-person tutoring: the students who most need help can access it when and where they actually study.

Around-the-clock availability on any device

Bloom's pricing is structured for institutions with constrained budgets. Growth plans provide a fixed number of student seats at a predictable cost, without per-query charges that make budgeting unpredictable. A single deployment can support multiple courses and departments, spreading the investment across the institution rather than requiring per-department purchasing.

Affordable institutional deployment

AI for Learning at Community Colleges

Working professionals study in fragmented blocks: during commutes, over lunch breaks, after their children are in bed. Traditional classroom-based continuing education requires scheduling around work commitments, and many professionals fall behind when sessions are missed. Asynchronous content helps but provides no individualized support when concepts are unclear.

Time-constrained learners with demanding schedules

Professional certifications (CPA, nursing board exams, legal bar preparation, project management credentials) test applied understanding, not memorization. Candidates need to reason through scenario-based questions, not just recall facts. Generic study tools focus on content delivery, not on developing the analytical reasoning these exams assess.

Certification preparation requires deep understanding

Corporate training often involves proprietary processes, internal policies, and regulatory compliance specific to an industry or organization. Generic AI tools have no access to this content and cannot ground their responses in the specific procedures employees need to learn. Training departments need tools that work with their existing materials.

Organization-specific content and compliance requirements

Bloom supports professional development and continuing education with on-demand learning support, certification prep, learning analytics and organization-specific content.

Professional learners need support that fits limited study time and their training goals. Organizations can configure Bloom with training materials and choose the balance of explanations, examples, questions and practice suited to the course.

Professional Education

Bloom is available whenever professionals have time to study. Learners can discuss a scenario, ask for an explanation or practise applying a concept, with support shaped by the course materials and teaching settings.

On-demand tutoring that fits professional schedules

Learners can review concepts with explanations and examples, then use quizzes, flashcards or discussion to practise applying them. Teaching settings determine how much working or answer detail Bloom can provide during chat.

Scenario-based reasoning practice for certification prep

Training departments upload their own materials: compliance documents, standard operating procedures, internal case studies, and policy manuals. The RAG system indexes this content and grounds the tutor's responses in it. Employees receive support that is consistent with their organization's specific practices, not generic advice that may conflict with internal procedures.

Organization-specific knowledge bases

AI Learning Platform for Professional Education

In a physical classroom, a confused student raises their hand. In an online course, a confused student stares at their screen. Discussion forums have response delays measured in hours or days. Instructor office hours may not align with a student's time zone or work schedule. The moments when students most need help, when they are actively struggling with material, are precisely when help is least available.

Asynchronous students lack real-time support

Online programs consistently report higher attrition than in-person equivalents. A significant factor is isolation: students who feel disconnected from support structures are more likely to disengage when they encounter difficulty. The absence of informal peer learning (the study group, the hallway conversation, the post-lecture question) removes a support layer that in-person students take for granted.

Student isolation reduces persistence

Online courses rely on recorded lectures, readings, and discussion boards for content delivery. When students need help beyond these resources, quality varies: teaching assistants have different levels of expertise, forum responses vary in accuracy, and instructor availability is limited. Scaling an online program means these inconsistencies multiply.

Inconsistent quality of asynchronous support

Bloom provides asynchronous AI-powered learning support for online programs, with course-specific content and configurable teaching settings across time zones.

Online and distance learners often study when instructors and peers are unavailable. Bloom offers support grounded in course materials, with teaching settings that determine how much explanation, example text or working it can provide.

Online Programs

Students can ask Bloom for help outside scheduled teaching hours. Depending on the course settings, that help may include an explanation, a worked example, feedback or a guiding question. Educators remain responsible for reviewing whether the support meets their learners' needs.

Learning support across time zones

Each Bloom uses the course materials, teaching settings and topic boundaries configured for it. Staff can review responses and adjust the support as learners develop understanding; one response style is not prescribed for every task.

Consistent pedagogical quality at every interaction

Program directors upload course materials for each module, and the RAG system ensures the tutor's responses are consistent with the program's curriculum. Students across a cohort receive support grounded in the same readings, lectures, and assessments. This maintains program coherence in a way that ad hoc forum responses or external AI tools cannot, and it gives program administrators visibility into where students are struggling across the curriculum.

Course material integration for program coherence

AI for Online and Distance Learning

Adults learning outside institutions have access to vast amounts of content (courses, textbooks, videos) but almost no individualized support. When a self-taught programmer hits a conceptual wall at 9pm, or a career changer cannot reconcile two conflicting explanations in their study materials, there is no tutor to turn to. Generic AI chatbots provide answers, but a 2024 University of Pennsylvania study found that answer-giving actively undermines learning.

No structured support for self-directed learners

Self-directed learning has high dropout rates. Without deadlines, cohorts, or instructors, learners frequently stall when material becomes difficult. The problem is not a lack of willpower; it is a lack of responsive feedback. When no one notices whether you understood a concept or skipped it, the path of least resistance is to move on with gaps intact.

Difficulty maintaining motivation without accountability

Institutional learners follow a designed curriculum with sequenced content and clear learning objectives. Self-directed learners piece together resources from multiple sources, often without knowing what they do not know. The result is fragmented understanding: confident in some areas, unknowingly weak in others, with no systematic way to identify and address the gaps.

Finding quality learning paths without formal curriculum

Bloom helps self-directed adults study with explanations, examples, questions and practice grounded in their own materials. For career changers, hobbyists and the curious.

Career changers, retirees and hobbyists may need different kinds of support as they study new topics. Bloom can draw on their chosen materials and provide explanations, examples or questions within its teaching settings.

Lifelong learners

Learners can ask for help when they have time to study, share what they already know and return to earlier concepts. The support available depends on the teaching settings, which should be reviewed against the learner's needs.

A patient, always-available learning companion

Learners upload their own study materials: textbooks, course notes, articles, technical documentation. The RAG system indexes this content and grounds every response in it. This means a self-directed learner studying machine learning from a specific textbook receives tutoring consistent with that text, not generic explanations that may use different notation, terminology, or pedagogical approach.

Knowledge-grounded responses from uploaded materials

Motivated learners may need an explanation or worked example when a topic is new, and less guidance as their understanding grows. Questions, independent practice and reflection can help them apply what they have learned. Bloom supports these approaches within its teaching settings.

Built for your institution

AI for Learning at Universities

AI Learning Platform for Secondary Schools

AI for Learning at Community Colleges

AI Learning Platform for Professional Education

AI for Online and Distance Learning

AI for Lifelong Learning

Bring AI for learning to your institution.