Team
Products 3
Select one to read moreRABUOS RaBuOS eliminates operational silos by automating compliance tracking, critical-path project management, and governance workflows. Designed for agile teams, it provides real-time filing alerts, role-based document access, resource workload balancing, and seamless API integrations, helping businesses operate transparently and scale efficiently with complete regulatory confidence.
Problem Statement:
• Indian startups and SMEs face significant overhead managing fragmented tools for operations, compliance, and document management.
• Missed statutory deadlines (MCA, GST, ROC filings) incur hefty financial penalties, while disorganized governance creates audit risks.
Solution & Core Features:
1. Automated Statutory Compliance:
• Pre-configured compliance schedules covering MCA filings (AOC-4, MGT-7, DIR-3 KYC) and GST returns (GSTR-1, GSTR-3B).
• Proactive alerts, filing calendars, and automated tax runway calculations.
2. Centralized Governance & Document Repository:
• Secure, version-controlled document storage aligned with standard compliance and ISO formats.
• Immutable timestamped audit trails for complete regulatory transparency.
3. Project Execution & Analytics:
• Drag-and-drop Gantt scheduling, task dependency graphs (DAGs), and Critical Path Method (CPM) bottleneck detection.
• Real-time team workload balancing and productivity telemetry.
4. AI-Driven Insights & Multi-Tenancy:
• Workspace-isolated multi-tenant architecture with strict RBAC security.
• AI-assisted reporting, risk analysis, and operational forecasting.
Target Market & Commercial Model:
• Target Audience: Early-to-growth stage startups, SMEs, compliance officers, and operations teams.
• Model: Freemium SaaS tier for early teams with scalable Growth and Enterprise subscription plans.
RadieSense AI RadieSense AI eliminates costly industrial factory breakdowns through continuous vibration, acoustic, and electrical harmonics monitoring. Designed for plug-and-play retrofit on existing machinery, it runs edge-inference anomaly detection with wireless mesh telemetry, delivering instant mobile alerts and automated maintenance schedules before equipment fails.
1. Problem Statement:
• Industrial manufacturing units, food processing plants, and cold storage facilities in India suffer unscheduled downtime costing lakhs of rupees per incident due to unexpected motor and pump failures.
• Existing industrial vibration analysis systems are cost-prohibitive (₹2L–₹10L), require invasive rewiring, and demand specialized data science personnel.
2. Innovation & Technological Solution:
• Non-Invasive Magnetic Retrofit: Magnetic clamp sensor installable in under 2 minutes with zero machine downtime.
• Multi-Modal Sensor Fusion: Tri-axial high-frequency vibration (MEMS accelerometer), ultrasound acoustics, infrared thermal telemetry, and multi-phase current harmonics.
• Edge TinyML Processing: On-device vibration FFT and neural network inference on ultra-low-power ARM/ESP32 microcontrollers, eliminating heavy cloud compute costs.
• Long-Range Wireless Mesh: Sub-GHz / LoRaWAN and BLE mesh network communicating reliably through dense metallic industrial environments to a central edge gateway.
3. Key Capabilities:
• Real-time remaining useful life (RUL) estimation for bearings, gearboxes, and pumps.
• Automated ISO 10816 vibration severity compliance grading.
• Automated Telegram / WhatsApp / SMS emergency threshold alerts to plant managers.
• SaaS cloud analytics dashboard with automated maintenance work order dispatching.
4. Commercial Viability & Profitability:
• Hardware Margin: Manufactured at ~₹3,500 BOM, retailed at ₹14,999/sensor node (76% gross margin).
• Recurring SaaS Revenue: ₹999 – ₹2,499 per machine / month for predictive analytics and automated ISO reporting.
• Payback Period: Under 30 days for factory operators by preventing a single hour of unplanned downtime.
5. Target Customers:
• Manufacturing MSMEs, textiles, plastics, tea/rubber processing plants in South India, HVAC operators, water treatment plants, and commercial cold storage warehouses.
RADIELEARN RadieLearn bridges academic delivery with institutional operations. By unifying interactive course hosting, automated code sandboxes, biometric/QR attendance, and intelligent timetabling, it empowers educators with at-risk dropout predictions, customized learning paths, and end-to-end administration in a single affordable, multi-tenant SaaS solution.
A. Problem Statement
- Disjointed Academic & Administrative Tools: Educational institutes juggle separate tools for course hosting (LMS), student management (SMS), fees, and attendance, resulting in data silos and administrative burden.
- Low Completion & Retention Rates: Traditional online and hybrid learning platforms lack cognitive reinforcement, causing steep drop-offs and poor concept retention.
- Lack of Actionable Insights: Instructors lack real-time predictive analytics to identify at-risk or struggling students before exams.
B. Core Modules & Key Features
1. Learning Management System (LMS)
- Multi-Format Content Delivery: High-definition video hosting (HLS/DRM streaming), versioned document repositories, and SCORM support.
- Interactive Code Playgrounds: Sandboxed code execution and auto-graded programming challenges.
- Assessment & Evaluation Engine: Dynamic MCQ generator, assignment submissions with rubric-based auto-grading, and peer-review workflows.
- Mastery-Based Progression: Requires ≥80% mastery before unlocking subsequent modules, preventing foundational skill gaps.
2. Student Management System (SMS)
- Student Lifecycle & Enrollment: Digital student profiles, document verification vault, and batch management.
- Smart Attendance Tracking: Contactless QR code check-ins, biometric device integrations, and automated absence alerts to parents/guardians.
- Fee & Installment Management: Multi-tier fee structures, EMI/installment tracking, automated GST-compliant receipts, and Razorpay payment gateway integration.
- Unified Communication Hub: Batch-wide announcements, direct 1:1 instructor-student messaging, and automated email/SMS reminders.
3. AI Personalization & Cognitive Science Engine
- Spaced Repetition (Ebbinghaus Forgetting Curve): Automated scheduling for concept reviews at increasing intervals (Day 1, Day 3, Day 7, Day 21) to ensure >80% long-term retention.
- Predictive At-Risk Detection: Monitors attendance and quiz milestones to trigger early intervention alerts for instructors.
- AI-Optimized Timetabling: Chronobiology-based scheduling algorithms that match cognitively demanding subjects to peak analytical focus windows.