AI systems built for complex, real-world ops
Deployments across enterprise AI, analytics, healthcare, creator commerce, and high-precision navigation. Each project is structured for secure access, scalability, and measurable impact.
What the platform solved
Here are examples of systems where automation, orchestration, and scalable architecture created measurable impact. These case studies show how orchestration, RBAC, and modular system design unlock reliable outcomes for complex workflows. Each build is engineered to turn data into action, not just analysis.
Cerebro
Multi-Agent AI Orchestration Platform with RBAC
Cerebro is an AI orchestration system built to classify intent, delegate tasks across specialized agents, and generate structured outputs securely within a role-controlled environment.
Organizations needed AI systems that can understand multi-intent queries, route to domain agents, enforce strict access control, and output structured data beyond plain text.
Avernus engineered a LangGraph-based pipeline that routes requests through intent classification, module delegation, and synthesis, enforced with role-based access control.
- Intent classification engine
- Multi-agent routing
- Automated chart generation
- Secure RBAC
- Context-aware caching
- Modular AI task delegation
- Enterprise-grade control over AI access
- Reduced latency via caching
- Structured outputs for reports and charts
IR Hub
Institutional Research & Analytics System
A centralized internal analytics suite aggregating dashboards, course evaluations, and institutional research metrics under secure role-based entry points.
The institution needed centralized dashboards, role-separated access, automated evaluation reporting, and reduced manual report generation.
Avernus built a secure analytics platform that aggregates institutional data, automates reporting, and presents dashboards with strict role separation.
- Role-based dashboard access
- Automated evaluation reporting
- Centralized academic analytics
- Secure internal infrastructure
- Eliminated manual reporting workflows
- Improved administrative decision-making
- Centralized institutional data systems
Psychiatric Hospital Management System
Healthcare Workflow Automation
A full-stack hospital management platform automating patient lifecycle management, pharmacy operations, and accounts tracking under strict access controls.
The hospital required unified patient records, real-time pharmacy inventory tracking, IPD/OPD separation, and role-restricted access to sensitive data.
Avernus delivered a modular system covering IPD, OPD, pharmacy, and accounts, all synchronized with centralized data and access hierarchy.
- Real-time patient intake tracking
- Automated inventory updates
- Secure access control
- Cross-module synchronization
- Reduced administrative overhead
- Increased operational visibility
- Improved patient data security
Creteva
Creator Economy Marketplace & Live Commerce Platform
A multi-faceted social commerce ecosystem bridging artists and fans through live streaming, direct hiring, and digital/physical product storefronts.
Creators lacked direct monetization, real-time engagement tools, and professional marketplaces for hiring.
Avernus engineered a platform integrating WebRTC live streaming, e-commerce storefronts, hiring modules, and social engagement features.
- Real-time video engagement
- Digital and physical product sales
- Professional marketplace matching
- Unified creator dashboard
- Direct creator-to-fan monetization
- Multi-channel engagement ecosystem
- Scalable streaming infrastructure
Orientation Feedback Chatbot
RAG-Based Insight Extraction System
A retrieval-augmented generation chatbot designed to extract qualitative insights from large-scale university feedback datasets.
The university had extensive feedback data but lacked structured analysis, insight extraction, and conversational access.
Avernus built a RAG pipeline that indexes feedback documents, retrieves relevant context, and synthesizes AI responses with structured summaries.
- Context-aware feedback analysis
- Insight extraction via natural language
- Structured AI summaries
- Faster qualitative analysis
- Reduced manual review workload
- Improved administrative insight access
AccuNav
High-Precision Localization System
A geolocation system leveraging SUPARCO's PakRehber PPK service to achieve sub-meter positional accuracy.
Standard GPS solutions lacked sufficient precision for engineering-grade applications.
Avernus developed a configuration management system that integrates PPK correction data to enhance accuracy and visualize coordinates in real time.
- Sub-meter positioning
- Correction data processing
- Real-time visualization
- Improved engineering-grade navigation
- Reliable correction-based tracking