How we overcame AI streaming latency to build the future of adaptive learning.
Applied R&D
Confidential White-Label R&D
Most AI integrations feel like 'chatbots glued to a website.' We needed to prove a deeply integrated, real-time approach.
A high-performance Learning Management System (LMS) designed to prove that AI-driven education doesn't have to be slow.
We were tired of seeing 'AI' features that felt laggy and disconnected. We built EduScale to show that sub-200ms streaming is possible in a complex, stateful environment.
Beyond just a dashboard, EduScale is a testament to our philosophy: performance is a fundamental user experience, not an afterthought.
From generic problems to architectural solutions.
Users expect immediate feedback, but LLM retrieval and streaming often introduce multi-second delays that kill engagement.
Managing real-time coding battles and progress tracking across multiple users without data conflicts is notoriously difficult.
Providing a secure, sandboxed environment for live code execution while maintaining near-native speed.
Built to scale. Engineered for performance.
We built dynamic, node-based paths that adapt to the learner's journey.
Removes the 'where do I start?' anxiety for new engineers.
A high-frequency web-socket arena for real-time competitive coding.
Bootstraped engagement by turning solitary study into a social, competitive sport.
An integrated, sandboxed 'Code Runner' that works instantly in the browser.
Allows students to move from theory to practice in seconds, not hours.
Using Redis and PostgreSQL to aggregate behavior data in real-time.
Gives instructors the 'x-ray vision' they need to see where students are actually struggling.
A unified dashboard that doesn't just show 'done'—it shows velocity, engagement trends, and predicted roadblocks.
Founders and instructors get a real-time pulse on their community's health.
Optimized with PostgreSQL materialized views and Redis caching to keep complex queries under 50ms.

Visual, node-based graphs that track progress and unlock new challenges based on performance.
Provides a clear, gamified sense of progression.
Uses recursive CTEs in Postgres to manage complex, branching dependency trees efficiently.

Face off in 1v1 and group coding challenges with instant leaderboard updates.
Turns practice into a game, significantly boosting daily active users.
Powered by a custom Socket.io implementation designed for high-frequency state synchronization.

Write and run code in multiple languages with immediate feedback, entirely in-browser.
Removes the 'it works on my machine' barrier for beginners.
Utilizes isolated Docker containers and gRPC for secure, high-speed code evaluation.

Next.js 14 utilizing Server Components to minimize bundle size, paired with Framer Motion for high-end UI transitions.
A modular Node.js layer using Prisma for type-safe data access and a custom event bus for cross-service communication.
PostgreSQL for persistent data integrity, Redis for high-speed state and caching, and vector databases for the RAG pipeline.
Optimized WebSocket architecture capable of handling high-frequency state updates with minimal overhead.
We bring the same level of engineering rigor and design excellence to every project.