Development Roadmap

This roadmap documents the structured development of the SALLS platform — from early MVP testing to the integration of advanced AI, neuroacoustic synchronization techniques, and EEG-driven learning optimizations.

Q2 2022 – Post-COVID Reboot & Market Discovery

• Resumption of educational sector exploration post-COVID disruptions.
• Participation in exhibitions across UAE, Thailand, Malaysia to validate multilingual education needs.
• Early alpha testing agreements secured with two UAE and one Malaysia-based institutions.
• Initial focus: AI-assisted language learning delivery with institutional oversight.

Q3 2022 – Stack Selection & Angular Prototype

• Prototype built using Angular 14, TailwindCSS frontend.
• Backend: Node.js, PostgreSQL, Redis.
• Amazon AWS (S3, EC2, RDS) infrastructure deployed.
• GPT-3.5 integration for auto-generation of lesson content and quizzes.

Q1 2023 – Alpha Deployment to First Clients

• Operational MVP delivered to UAE and Singapore educational centers.
• Billing initiated between SALLS GmbH and UAE-based company for platform deployment.
• Session logging, user management, AI-generated tests in daily use.

Q2 2023 – AWS Saturation and Infrastructure Bottleneck

• S3 read latency and CloudFront caching bottlenecks observed at scale.
• Decision to migrate static media storage to Cloudflare R2 + Stream for performance.
• Cloudflare DNS + WAF layers implemented for enhanced DDoS protection.

Q3 2023 – SvelteKit Migration

• Angular stack phased out due to performance overhead.
• Frontend fully rebuilt using SvelteKit for faster load times and improved mobile performance.
• Schema-based form validation engine with i18n and full accessibility embedded.

Q1 2024 – Deep AI Fusion

• Integration of OpenAI GPT-4 + DeepSeek hybrid AI for better multilingual contextualization.
• Lesson generation pipeline augmented with concept tagging and Bloom-based topic trees.
• Feedback opt-in loop initiated among private beta users for model refinement.

Q2 2024 – Institutional Closed Beta

• Platform deployed in closed beta with institutions across UAE, Thailand, Indonesia, Malaysia.
• Session diagnostics introduced: AI confusion scoring and user behavior mapping.
• Cloudflare R2 migration finalized for all static and media assets.

Q4 2024 – Localization and Roadshow

• Middle East and Southeast Asia roadshows to demonstrate SALLS platform.
• Localized content QA for Thai, Vietnamese, Bahasa, Arabic, and Japanese.
• Politeness tuning: linguistic tone calibration per region using DeepSeek fine-tuners.

Q2 2025 – Neuroadaptive Learning Initiatives

• Development of neuroacoustic enhancement modules (binaural 4–8 Hz entrainment).
• Optional activation of background brainwave synchronization tracks in learning sessions.
• Initial EEG integration research project (opt-in beta clients under NDA).

Q4 2025 – Public Beta Launch

• Open beta launch of SALLS LMS to selected institutional clients worldwide.
• Deployment of SALLS Cognitive Tutors (OpenAI x DeepSeek hybrid agents).
• Full GDPR and DSGVO compliance audit passed.
• Dynamic billing models and smart licensing rolled out.

2026 – AI Curriculum Autonomy & Learning Agents

• SALLS Authoring Interface launched for teachers and publishers (drag-and-drop builder).
• Adaptive curriculum evolution based on performance heatmaps and agent feedback.
• Institutional integrations: LTI 1.3 connectors deployed for large universities.
• Phase II of neuroacoustic protocol certification completed.

2027 – Adaptive Learning Ecosystem & EEG Layer Expansion

• Deployment of offline-first learning nodes in rural educational networks.
• Behavioral drift detection: soft AI models adjusting lesson difficulty in real-time.
• Commercial launch of the Neuroacoustic Learning Engine (NLE) licensing package.
• Advanced EEG-triggered memory reinforcement research in active phase with neuroscience collaborators.

This roadmap represents the authentic technical, strategic, and operational path of the SALLS GmbH platform development between 2022 and 2027.

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