AI-native learning platforms with tutoring, grading, and content agents
Trusted by 100+ innovative teams
What we build
Your learners get an AI tutor that answers their doubts at any hour, drawn from your own course material. Your instructors get agents that grade work and draft feedback, plus tools that turn existing material into courses and quizzes. The result is a platform that does more than host content. It teaches, it adapts to each learner, and it takes the repetitive load off your team.
Built for teams like yours
What you'll get
Learners rarely get stuck at a convenient time. An AI tutor built into the platform answers their questions the moment they ask, day or night, using your own course material rather than the open internet. It explains the concept, points to the exact lesson, and admits when something is outside the syllabus instead of guessing. Learners keep moving, and your support inbox gets quieter.
Marking is where instructor time disappears. The platform uses AI to grade assignments and draft feedback, then puts a human in control to review and approve before anything reaches the learner. Turnaround drops from days to minutes, feedback gets more consistent, and your best teachers spend their hours teaching instead of marking.
Building a course from scratch is slow. The platform turns your existing notes, slides, and recordings into structured outlines, lesson drafts, and quizzes, which your team then refines. Work that used to take weeks takes days, so you launch more courses and keep them current.
No two learners move at the same pace. The platform tracks how each one is doing and adjusts what they see next, stretching the strong ones and giving the struggling ones more practice and support, without your team building a path by hand.
Most teams stitch together a video tool, an LMS, a quiz app, and a payment gateway, then fight the gaps. We build courses, live classes, assessments, payments, and analytics into one platform, so the learner experience is seamless and your team manages one system.
You cannot improve what you cannot see. Built-in analytics show which courses hold attention, where learners drop off, which questions come up again and again, and how outcomes change over time. You fix the weak spots with evidence instead of guesswork.
Applications
See how teams like yours are putting e-learning & lms platform development to work.
Sell and deliver on-demand courses to a wide audience, with the AI tutor handling the questions that would otherwise need a support team.
Run scheduled, instructor-led batches with live classes, attendance, and assignments, backed by AI grading so instructors keep up with larger cohorts.
Roll out training across an organisation, track completion and certification, and use analytics to prove compliance and spot teams that need help.
Give students endless adaptive practice and instant explanations, with difficulty that adjusts to performance, which is where AI tutoring earns its keep.
Combine classroom teaching with an online platform for material, assessments, and parent or administrator visibility, all in one place.
How we deliver
We map your learners, your existing content, and the workflows that matter most, then agree on a focused first version that delivers value quickly.
We build the foundations: courses and content, live and recorded classes, assessments, and the student and instructor apps, on a stack that scales.
We add the agents that make it AI-native, the tutor, the grading and feedback agent, and content generation, all grounded in your material and kept under human review.
We go live, watch the analytics on real usage, and keep refining the content, the models, and the experience as your learners tell us what works.
Tech Stack
We choose the right tools for your specific needs, not just what's trending. Our stack is battle-tested across hundreds of production deployments.
24/7
AI tutor availability
Days
to build course content, not weeks
One
platform for courses, classes, and assessments
E-Learning & LMS Platform Development Implementation
Use the same rollout pattern we apply in production programs: architecture review, risk controls, and measurable milestones from pilot to scale.
4-8 weeks
pilot to production timeline
95%+
delivery milestone adherence
99.3%
observed SLA stability in ops programs
Deep dive
E-Learning & LMS Platform Development is a core capability at Boolean & Beyond. We don't just implement technology — we engineer complete solutions that solve real business problems. Our team in India combines deep technical expertise with practical business understanding to deliver systems that work in production, not just in demos.
We have delivered similar solutions for startups, scale-ups, and enterprises across fintech, healthcare, e-commerce, manufacturing, and SaaS platforms — handling real-world complexity at scale.
End-to-end architecture design that balances performance, maintainability, and cost. We start with your business requirements and work backward to the technology, not the other way around. Every solution includes automated testing, CI/CD pipelines, monitoring, and documentation.
AI-first approach where applicable: we integrate LLMs, computer vision, voice AI, and recommendation engines into business workflows. But we only add AI where it delivers measurable value — not every problem needs a neural network.
Our integration patterns connect with your existing systems: REST/GraphQL APIs, database connectors, message queues, and webhook-based event architectures. We build alongside your stack, not on top of it.
Our standard stack: TypeScript + Next.js for web applications. Python + FastAPI for AI/ML services. PostgreSQL with pgvector for data + vector search. Redis for caching and real-time features. Kubernetes on AWS/GCP for deployment. Prometheus + Grafana for observability.
We choose tools based on your specific constraints — team expertise, existing infrastructure, compliance requirements, and budget. No one-size-fits-all architecture.
For AI-powered features, we implement proper guardrails from day one: input validation, output filtering, hallucination detection, cost controls, and human-in-the-loop workflows for high-stakes decisions.
Discovery Sprint (Week 1-2): Requirements deep-dive, architecture design, and technical spec. You get a clear picture of what we'll build, how it works, and what it costs — before writing a line of code.
Build Sprint (Week 3-8): Iterative development with weekly demos. You see progress every week, provide feedback, and steer the direction. No big-bang reveals after months of silence.
Launch Sprint (Week 9-10): Performance optimization, security hardening, monitoring setup, and production deployment. Team training and documentation handover.
Post-Launch: We don't build and disappear. Ongoing support, optimization, and feature development as your needs evolve. Our retainer clients get priority response and dedicated engineering hours.
Our implementations have delivered measurable business impact: 40% reduction in manual processing time through AI automation. 35% improvement in customer engagement through personalized experiences. 60% cost savings on infrastructure through architecture optimization. 90-day time-to-market for MVPs using our SPRINT framework.
We bring senior-level engineering talent at competitive rates. Our team includes architects with 10+ years of experience building production systems, not junior developers following tutorials. We take ownership of outcomes — your success is our success.
Every engagement starts with a clear scope, timeline, and investment. No scope creep, no surprise bills, no "we need just one more sprint" conversations. If we discover complexity during development, we flag it immediately and discuss options.
Book a free 30-minute technical consultation. Bring your hardest problem — we'll give you an honest assessment of how we'd solve it, realistic timelines, and a clear next step. No sales pressure, just engineering expertise.
Fintech: Automated compliance checking, fraud detection pipelines, and intelligent document processing for KYC/AML workflows. We build systems that process thousands of applications daily with 95%+ accuracy.
Healthcare: Clinical decision support, patient communication automation, and medical record analysis. HIPAA and DPDP Act compliant architectures with proper audit trails.
E-Commerce: Personalized recommendation engines, semantic product search, dynamic pricing algorithms, and conversational shopping assistants that increase conversion by 20-35%.
Manufacturing: Computer vision quality inspection, predictive maintenance models, and production scheduling optimization. Edge deployment for real-time factory floor decisions.
Fixed-scope projects: Clear deliverables, timeline, and investment. Ideal for well-defined features or MVPs. You know exactly what you get and what it costs before we start.
Dedicated team: 2-6 engineers embedded in your workflow for ongoing development. Sprint-based delivery with weekly demos. Scale up or down based on your roadmap.
Technical advisory: Architecture review, technology selection guidance, and hands-on mentoring for your team. Ideal when you have developers but need senior technical direction.
How long does a typical project take? MVPs in 6-8 weeks, production features in 8-12 weeks, enterprise platforms in 3-6 months. We use 2-week sprints with weekly demos so you see progress continuously.
What does it cost? Projects range from ₹10 lakhs for focused integrations to ₹50+ lakhs for full platform builds. We provide detailed estimates after the discovery sprint — no surprises.
Do you support post-launch? Yes. Most clients transition to a maintenance retainer (₹2-5 lakhs/month) for ongoing optimization, bug fixes, and feature additions. We don't build and disappear.
Most learning platforms are, underneath, a content library. They store videos, PDFs, and quizzes, and they track who watched what. That is useful, but it is passive. The learner is still on their own the moment they hit something they do not understand.
An AI-native platform changes that. The same course material that sits in the library also powers a tutor the learner can talk to. When a student is stuck late at night, they ask a question and get a clear answer drawn from their own course, with a pointer to the exact lesson. When an assignment comes back, the feedback is specific and fast, because an agent drafted it and an instructor approved it. The platform stops being a shelf and starts being a teacher that is always available.
Behind the AI, this is a complete learning platform. Here is what it covers.
Build and organise courses with modules, lessons, and mixed media. You get drag-and-drop curriculum building, version control on content, prerequisites, and drip scheduling so material unlocks on a timeline. Existing notes, slides, and recordings import in bulk and can be reused across courses, so you are not rebuilding content for every new programme.
Run live classes with video conferencing, screen sharing, breakout rooms, and polls. Sessions are scheduled, attendance is tracked automatically, and recordings drop back into the course on their own, so anyone who misses a class can catch up without chasing a link.
Quizzes, assignments, timed exams, and question banks with randomisation. Objective questions grade themselves, written work gets AI-assisted grading with an instructor approving before marks are final, and learners earn certificates on completion with clear rules for re-attempts and proctoring where you need it.
A clean experience on web and on native mobile apps, with progress tracking, notes, bookmarks, offline access to downloaded lessons, and a dashboard that always shows the next step. Learners on slow or patchy connections still keep going.
Instructors manage cohorts, track progress, and review AI-drafted grading from a single dashboard. Admins handle users, roles, payments, and reporting across the whole platform, so running it day to day does not need a developer.
See enrolment, engagement, completion, and assessment performance in one place, plus the questions learners ask the tutor most often. Those questions are a direct signal of where your content is unclear, so you know exactly what to fix next.
Under the hood, the tutor uses retrieval-augmented generation, usually shortened to RAG. In plain terms, your course material becomes a knowledge base, and when a learner asks something, the system retrieves the relevant lessons and a large language model, an LLM like Claude or GPT-4o, writes an answer grounded in them. The grading and content tools are generative AI applied the same careful way, drafting first and then handing control to a human. The tutor itself is an AI agent, not just a chatbot: it can look things up, follow a learner’s progress, and decide what to surface next.
AI in education only works if people can trust it, so we build it carefully. The tutor answers only from your approved course material, not the open internet, and it cites the lesson behind each answer so learners and instructors can check it. When a question falls outside the syllabus, it says so rather than inventing an answer.
Grading keeps a human in control. The AI does the first pass and drafts the feedback, but an instructor reviews and approves before anything reaches a student, especially where marks or certification are involved. Nothing high-stakes happens on the model’s word alone. And because learner data is sensitive, the platform is built to keep it private and secure, deployed in your own environment where you need it, with clear control over what is stored and who can see it.
It uses retrieval-augmented generation, or RAG. Your course material becomes a knowledge base, and when a learner asks a question, the system finds the relevant lessons and a large language model writes an answer grounded in them, with a citation to the source lesson. It is not answering from the open internet.
It answers only from your course material and cites the lesson it used, so answers can be checked. When a question is outside the syllabus it says so instead of guessing.
No. It removes the repetitive load, doubt-solving at all hours and first-pass grading, so your instructors spend more time actually teaching.
Yes, both, in one platform, with attendance, assignments, and analytics across them.
Yes. We ingest your notes, slides, and recordings, and the AI works from them to power the tutor and to draft courses and quizzes.
A focused pilot is typically live in a few weeks, and the platform scales from there.
Yes. There is a web app and native mobile apps, with offline access to downloaded lessons so learners on patchy connections can keep going.
Yes. Payment gateways, single sign-on, and common tools integrate, so the platform fits into what you already run rather than replacing all of it.
Yes. Your content and learner data stay yours, and we can deploy the platform inside your own cloud environment where data residency or privacy require it.
Yes. Both the course content and the AI tutor can work across multiple languages, including Indian languages, so learners can study and ask questions in the language they are comfortable with.
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Delivery available from Bengaluru and Coimbatore teams, with remote implementation across India.
Case Studies
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Boolean and Beyond
825/90, 13th Cross, 3rd Main
Mahalaxmi Layout, Bengaluru - 560086
590, Diwan Bahadur Rd
Near Savitha Hall, R.S. Puram
Coimbatore, Tamil Nadu 641002