Centralizing Corporate Intelligence with GenAI
Our AI-powered enterprise knowledge platform enables Mari Energies Limited AI Chatbot, an advanced virtual assistant designed for engineers. Cutting-edge LLM, provides instant, accurate responses to technical queries, enhancing troubleshooting efficiency, reducing downtime, and centralizing technical documents.
≥95%
AI Response Accuracy
<2s
Average Query Latency (P95)
≥90%
Document Parsing Accuracy
100%
Role-Based Portal Coverage
Business Overview and Strategic Direction
EXECUTIVE SUMMARY
Mari Energies required a robust AI-powered platform to centralize and streamline access to their vast organizational knowledge. With documents spanning technical manuals, operational reports, SAP data, and presentations, their teams faced challenges in retrieving accurate information quickly. Traditional search methods were slow and often unreliable, while internal support workflows were heavily manual and time-consuming. Stixor Technologies designed the MPCL Chatbot Platform to address these challenges, delivering a secure, scalable, and intelligent system.
The platform includes three distinct portals Admin, User, and Super Admin ensuring role-based control, governance, and full visibility into AI performance. Advanced knowledge management, AI observability, and token analytics are built-in to maintain efficiency and optimize costs. By combining cutting-edge machine learning models, hybrid retrieval strategies, and real-time monitoring, the MPCL Chatbot transforms enterprise knowledge into an actionable, intelligent system.
Operational Challenges in Enterprise Knowledge Management
Building a real-time knowledge management platform demands accuracy, scalability, and seamless information access. Key challenges:
PROBLEM STATEMENT
High Information Volume
Managing large and diverse document formats across departments made retrieval slow and inconsistent.
Inconsistent Responses
Lack of contextual understanding led to unreliable or incomplete answers.
Limited AI Visibility
No monitoring of token usage, latency, hallucinations, or model quality.
Governance & Access Control
Required strict role-based permissions and audit trails for compliance.
Multi-Stage AI Platform for Intelligent Knowledge Access
A powerful AI-driven knowledge platform designed to improve information accuracy, streamline corporate workflows, and support faster, more consistent decision-making across all knowledge management tasks
Our Solution
Intelligent Knowledge Ingestion
Thousands of structured and unstructured documents parsed using multi-model pipelines like PDFPlumber, DeepDoc, Gemini-02-flash, and LayoutParser OCR for accurate, hierarchical knowledge extraction.
AI Interaction Layer
GenAI-powered chatbot delivers text, voice, and file-assisted queries with precise, source-backed responses while minimizing hallucinations and maintaining metadata and contextual relationships.
Monitoring & Governance
Real-time AI observability with token tracking, feedback clustering, and audit logs ensures compliance, monitors latency and accuracy, and maintains system reliability and performance above 99%.
01
Intelligent Knowledge Ingestion
- Upload structured and unstructured documents (PDFs, P&IDs, manuals)
- PDFPlumber, DeepDoc Manual Parser , Gemini-02-flash, GPT-4o, Layout Parser OCR
- Manual and automated chunk optimization to improve retrieval accuracy
02
Context-Aware AI Interaction
- Voice-assisted and file-assisted queries
- Maintains metadata, hierarchy, and relationships between information
- Knowledge-base–driven chatbot responses with structured prompts
03
Enterprise Deployment & Monitoring
- Token utilization tracking
- Feedback and FAQ clustering
- Real-time AI observability via Arize Phoenix
04
Feedback clustering, FAQ management
- Full audit logs and governance for compliance
- Real-time monitoring for accuracy, and AI hallucinations
Transformative Outcomes Across All Metrics
IMPACT & RESULTS
Compact Performance Metrics
≥95%
AI Response Accuracy
<2s
Query Latency (P95)
≥90%
Document Parsing Accuracy
<5%
AI Hallucination Rate
Operational Efficiency
≥95%
AI Accuracy
<2s
Query Latency
≥90%
Document Parsing
≥99%
System Reliability
Technology Stack
TOOLS USED
Docker / K8s
Python / PyTorch
Discuss Your Enterprise
Use Case
From small to large scale enterprises, we deliver next-gen AI, data engineering, and actionable insights.
