FactoryOps is a comprehensive Computerized Maintenance Management System (CMMS) developed to simplify and automate maintenance operations for enterprise organizations. The platform provides a centralized solution for managing the complete maintenance lifecycle, including Service Requests, Work Orders, Preventive Maintenance, Asset Lifecycle Management, Inventory Control, and Reporting. It enables organizations to improve asset reliability, reduce equipment downtime, and optimize maintenance costs through streamlined workflows and real-time operational visibility. Built on a scalable microservices architecture, FactoryOps supports multi-tenant SaaS deployment, IoT device integration, event-driven communication, and real-time notifications, making it suitable for large-scale industrial environments. The solution also offers role-based access control, KPI dashboards, audit trails, and workflow automation, allowing maintenance teams to collaborate efficiently while ensuring compliance and operational excellence. FactoryOps empowers organizations to make data-driven decisions and achieve higher productivity through intelligent maintenance management.

The AI-driven reporting and analytics solution integrates with eClinicalWorks (eCW) to enhance healthcare data extraction, automate compliance reporting, and improve patient outcomes through predictive analytics. This initiative leverages AI, NLP, and SMART on FHIR to streamline workflows, reduce manual effort, and ensure real-time data accessibility.  

HiveRobot is a SaaS-based platform revolutionizing the cleaning industry by providing automated, subscription-based cleaning solutions for offices, floors, and commercial spaces. Clients subscribe to the service and cleaning robots are assigned to handle routine cleaning tasks, ensuring consistent quality and reliable results every day.
 

An AI-native takeoff and intelligent document processing platform for the commercial construction industry that automates material (glass, doors, window) takeoff and hardware extraction from architectural project documents. The solution processes floor plans, elevations, material schedules, specifications, and related drawings to identify, classify, and extract information with high accuracy. 

It applies engineering rules to validate extracted data, highlights discrepancies, and enables estimators to review, verify, and export standardized Excel outputs. 

The platform significantly reduces manual estimation effort, improves consistency, and accelerates bid preparation while maintaining full traceability back to the source drawings.

The objective of the proposed application is to create a platform for asset tracking in the trucking industry that operates under a subscription-based software-as-a-service (SaaS) model. It has a mobile app for drivers that helps with dispatching pick-up and delivery locations and calculating total miles driven over a period of time covering duration and trips and a web-based interface for carriers, brokers, and the company.

The platform is integrated with a third-party hardware device that tracks various data points such as vehicle location, door opening, temperature, and humidity in real-time. The data collected by this device is sent back to cloud-based services that can be accessed via cloud-based APIs or the SDK provided by the device manufacturer.

An enterprise-level tool developed for electricity providers and their customers (EV users & smart home product users) with their smart-charging algorithm helping them to charge their electric vehicles or manage their smart home devices defining their priorities during cheapest or climate-friendly hours. Another advantage for the users is to optimize the use of electricity generated using solar panels, allowing users to first use the power generated using solar and then via the grid. For electricity providers, the platform balance the grid by switching the charging of the connected fleet of electric vehicles on and off so that electricity producers can avoid starting expensive, fossil fuel-driven backup generators. And participant users earn monetary rewards being participating in this.