miraAI

An enterprise-ready Gen AI framework, designed by Miracle Software Systems, Inc., to transform the entire AI ecosystem. By bringing together prompts, workflows, and data into a single unified layer, it eliminates silos and fragmented deployment. It features built-in traceability, intelligent drift detection, and automated evaluation to ensure AI models remain accurate and scale over time. The result is faster innovation, smarter decisions, lower risk, and measurable business impact powered by trust and enterprise-grade intelligence.

Centralized Intelligence for Enterprises

Knowledge Sphere

Converts documents, media, and URLs into searchable knowledge with context-aware answers, while integrating with cloud platforms like Azure, AWS, and GCP

Data Sphere

Enables users to ask data questions in natural language, converts them into optimized SQL in real time, and summarizes the results into interactive charts and tables

Core Sphere

Leverages LLMs to intelligently provide quick insights from contracts, reports, and spreadsheets to help with on-the-spot analysis, invoice checks, and contract reviews

Agent Sphere

Orchestrates knowledge and data across systems to automate complex queries, agent workflows, and API integrations, delivering unified, context-aware responses

Core Capabilities

Document Understanding

Extract meaningful information from unstructured documents and media to speed up understanding

Multi-Model Flexibility

Align AI models precisely with your workflows to meet specific business requirements and objectives

Conversational Interface

Interact via chat or voice to receive clear, relevant, and context-aware answers immediately

Seamless Integration

Link cloud applications, internal tools, and storage systems smoothly and reliably without disruption

Security and Governance

Safeguard sensitive data across every interaction while ensuring compliance and controlled access

Analytics and Reporting

Produce dashboards, summaries, and reports that highlight key performance trends and outcomes

Guardrails & Policy Controls

Maintain trust and compliance by enforcing responsible AI behavior aligned with enterprise policies

Model Drift Detection

Monitor model performance to detect early deviations and maintain reliable, high-quality AI outcomes

End-to-End Traceability

Track all prompts, responses, and workflows for complete visibility, accountability, and governance

Why Leading Enterprises Trust miraAI

01. AI-powered analytics allows visibility to track usage, users, and costs

02.Customizable prompts enable effortless control over system behavior

03. Deploy securely on any cloud, hybrid, or on-premise environments

04.Multi-Model Support, Document Intelligence & Character Recognition

AI-Powered Analytics Customizable Prompts Deploy Securely Multi Model Support

Case Studies

Case Study

Logistics & Supply Chain

Automated EDI Error Resolutions & Email Responder

Case Study

Health Care

Dynamic Health Analytics Using Language-to-Insights

Case Study

Retail

AI-Powered Conversational Assistant for Retail Inventory Management

coporate standards

Frequently Asked Questions

It's a plug-and-play, cloud-agnostic design that connects seamlessly with any existing systems, including SAP, SharePoint, Salesforce, BigQuery, etc., without disruptions.

Yes. It includes role-based permissions, audit trails, and governance to meet enterprise compliance and regulatory standards.

miraAI provides real-time, contextual alerts and answers directly where you work, eliminating the need to log into dashboards.

miraAI is designed for both structured and unstructured processes, so it adapts easily to complex enterprise workflows.

Yes. It’s multi-tenant ready, supporting different teams or clients in secure and isolated environments.

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Accounts Payable Automation Using Document Intelligence

Business Challenge

The customer, a healthcare organization, faced a highly manual and time-consuming invoice processing pipeline. This manual process resulted in inefficiencies, errors, and delays in verifying and processing invoices, making it difficult to scale operations.

Our Solution

We implemented a combination of Document Intelligence (OCR and AI) and Robotic Process Automation (RPA) to automate the invoice processing pipeline. The AI engine was trained iteratively to understand and extract relevant content from invoices. RPA bots were then deployed to complete the verification and processing tasks. Additionally, Human in the Loop (HITL) mechanisms were put in place for validation and to provide feedback, allowing for continuous improvement of the AI capabilities.

Customer Benefits

Benefits for the customer include:

  • Increased Efficiency: Significant reduction in manual effort, resulting in faster processing times.
  • Reduced Errors: The AI engine improved accuracy in data extraction, minimizing human errors.
  • Scalability: The automated solution allowed the customer to handle a larger volume of invoices without needing to increase manual resources.
  • Continuous Improvement: The HITL mechanism enabled ongoing training and refinement of the AI engine, leading to progressively better performance over time.
Technology Scope
  • Document Intelligence: OCR for text extraction and AI for content understanding and classification.
  • RPA: Bots for verifying and processing invoices, interacting with backend systems like ERP and finance software.
  • Human in the Loop (HITL): Feedback mechanisms for AI engine validation and reinforcement learning.
  • AI Engine: Iterative learning model that continuously improves with new data and feedback.

Dynamic Health Analytics Using Language-to-Insights

Business Challenge

City and state officials, along with health departments, face the challenge of managing and analyzing large volumes of healthcare data, including vaccine tracking, outbreak monitoring, and more. This process is not only cumbersome but also expensive due to the need for constant updates and reporting in a rapidly changing healthcare environment.

Our Solution

We implemented a Language to Insights solution, enabling officials to convert text-based descriptions into dynamic queries, which can then extract relevant data. This data is processed to generate summaries, charts, visualizations, and reports that meet the needs of the officials. The solution empowers users to easily describe their data requirements and automatically generate the necessary insights without relying on costly manual reporting processes.

Customer Benefits
  • Efficiency: Streamlined data analysis and report generation, significantly reducing the time and effort required to create complex reports.
  • Cost Savings: Reduced need for manual data analysis and report-building, lowering the overall operational costs for the health departments.
  • Agility: The ability to quickly adapt to new requirements and rapidly changing healthcare situations, providing timely insights and decision-making support.
  • Empowerment: Non-technical officials can now easily generate their own reports and visualizations, increasing self-sufficiency and reducing reliance on specialized IT teams.
Technology Scope
  • AL/ML: Converts text-based input into structured queries for data extraction.
  • Data Integration: Access to multiple data sources related to vaccines, outbreaks, and public health metrics.
  • Visualization: Automatic generation of charts, graphs, and reports based on the extracted data, offering a comprehensive view of the health landscape.
  • AI-Powered Summarization: Provides concise summaries of the data and key insights for easy decision-making.

AI-Powered Conversational Assistant for Retail Inventory Management

Business Challenge
  • Customers faced difficulties in navigating inventory, placing orders, and tracking shipments efficiently.
  • High friction in user interactions due to complex interfaces and lack of streamlined authentication.
  • Limited accessibility and engagement options, reducing user satisfaction and retention.
  • Competitors offering more intuitive shopping experiences created pressure to enhance customer interaction.
Our Solution
  • Developed a Conversational AI-powered tablet application with an intuitive chatbot interface.
  • Enabled users to view inventory, place and track orders, access recipes, and manage their cart effortlessly.
  • Integrated voice interaction support for a hands-free and engaging user experience.
  • Seamlessly incorporated existing authentication systems, reducing friction in user interactions.
Customer Benefits
  • Enhanced User Experience: A seamless, voice-enabled chatbot simplified customer interactions.
  • Increased Efficiency: Users could quickly browse inventory, track orders, and place items in their cart with minimal effort.
  • Competitive Differentiation: Provided a cutting-edge AI-driven shopping experience, setting the client apart in the market.
  • Frictionless Access: Existing authentication integration reduced login-related issues, improving user adoption.
Technology Scope
  • LLM Models: NLP-driven chatbot for conversation handling.
  • Frontend: ReactJS for a responsive tablet application.
  • Backend: Node.js for handling chatbot logic and API interactions.
  • Cloud Infrastructure: Google for hosting and scalability.
  • Voice Interaction: Speech-to-text and text-to-speech services for a natural conversational experience.

Intelligent Video Surveillance for Restaurant KPIs

Business Challenge
  • Maintaining consistent operational quality across multiple franchise locations is challenging.
  • Manual inspections are time-consuming, subjective, and prone to inconsistencies.
  • Lack of real-time monitoring makes it difficult to detect and address issues proactively.
  • Ensuring compliance with safety, cleanliness, and service standards requires continuous oversight.
Our Solution
  • Implemented a multimodal AI system that analyzes video feeds to monitor key operational KPIs.
  • Automated tracking of cleanliness, fire hazards, employee idle time, customer traffic, digital signage security, and service efficiency.
  • Real-time alerts and insights enable franchise owners to proactively address issues before they impact operations.
  • AI-driven analytics ensure consistent brand standards across all franchise locations.
Customer Benefits
  • Improved Consistency: AI ensures uniform quality and adherence to brand standards across franchises.
  • Operational Efficiency: Automated monitoring reduces the need for manual inspections, saving time and effort.
  • Real-Time Insights: Immediate alerts on cleanliness, security threats, and service inefficiencies allow for quick corrective actions.
  • Enhanced Customer Experience: Faster response times and improved service lead to higher customer satisfaction and loyalty.
Technology Scope
  • Cloud Infrastructure: Google Cloud for video storage and processing.
  • Multimodal AI: On-premise AI models for real-time monitoring with minimal latency.
  • Data Analytics: Dashboards powered by BigQuery for KPI tracking.

Automated EDI Error Resolutions & Email Responder

Business Challenge
  • Manual analysis of EDI errors is time-consuming and prone to human oversight, delaying issue resolution.
  • Lack of standardization in error handling can lead to inconsistent communication with trading partners.
  • Organizations struggle to maintain 24x7 monitoring, causing delays in identifying and addressing EDI transaction failures.
  • Inefficient error resolution disrupts business operations and affects transaction reliability.
Our Solution
  • Developed an AI Agent trained on SoPs, past error logs, and standards dictionaries to act as an EDI error resolution expert.
  • The AI continuously monitors EDI transactions, automatically identifying errors and diagnosing potential issues.
  • It generates detailed email explanations for trading partners, providing corrective actions to resolve errors efficiently.
  • The system operates 24x7, ensuring real-time error detection and resolution without human intervention.
Customer Benefits
  • Faster Issue Resolution: AI-powered analysis and automated communication reduce downtime and expedite error correction.
  • Consistency & Accuracy: Standardized responses ensure clear and precise explanations to trading partners.
  • 24x7 Monitoring: Continuous transaction analysis eliminates delays in error detection and resolution.
  • Operational Efficiency: Reduces manual workload, allowing teams to focus on high-value tasks.
Technology Scope
  • LLM Models: Gemini Models for analyzing EDI errors and generating explanations.
  • Backend: Node.js for processing and automation.
  • Cloud Infrastructure: Google Cloud for data storage and scalability.
  • Email Automation: SMTP or API-based integration with email clients (e.g., Gmail, Outlook).