Perfect for small organizations, it provides core features including user-role management, mobile access, and data integration for efficient water management.
Built over the Essential Version, enhanced for medium-sized enterprises with additional tools like a query builder, dynamic data management, e-library, and IoT engine for detailed data insights and spatial analysis.
A comprehensive suite for large enterprises and governmental organizations, featuring a 3D engine, model manager, remote sensing, and Gen AI Suite for extensive, scalable water management solutions.
Manages authentication and authorization ensuring access control based on location, organizational policies, and user responsibilities. It is essential for maintaining data security and integrity.
Provides a user-friendly and intuitive interface for users, compatible with various devices – Tabs, mobiles, and desktops, to seamlessly interact with the platform. It facilitates the data and information presentation in an actionable format and supports user interactions like data queries, visualization, and reporting.
Provides cloud-agnostic integration that delivers scalable data storage, and efficient processing. It ensures enhanced performance and reliable data handling.
Empowers users with the ability to access the platform on mobile devices online or offline, through lite-data allowing users to geo-tag and geo-fence with limited uncertainty.
Keeping the user on top of all real-time updates through various channels like push notifications, messages, and email alerts. Users can also configure communication protocols tailored to different use cases.
The GIS engine enables advanced geo-spatial analytics for both VECTOR and RASTER data, allowing users to create, modify, and update maps with ease. Additionally, it supports a wide range of geometric operations, including interpolation, topological analysis, spatial analysis, geostatistical analysis, clustering, and regression, and it can publish maps in web-mapping service formats.
It offers seamless data integration and advanced analytics supporting comprehensive data processing capabilities, including batch processing of large volumes, real-time processing, and automated workflows. The data storage section features a versatile data lake capable of storing structured, semi-structured, and unstructured data. Additionally, it provides robust data governance and security measures.
Stores and manages spatial data for analysis and visualization of geographic features, supporting spatial data types, indexing, and queries. It integrates with GIS software and supports versioning, replication, multi-user editing, collaboration, and data sharing for efficient, collaborative workflows.
It is a distributed database with a highly scalable, fault-tolerant, and decentralized architecture. It offers a flexible schema, multi-data center replication, and handles real-time large-scale data across multiple nodes with highly efficient data retrieval and storage mechanisms. It also ensures balanced data distribution and allows easy node addition to the cluster with zero downtime.
It provides a graphical interface where users can select tables, fields, and conditions to construct queries visually, making it easier for those with non-technical backgrounds to retrieve, update, or manipulate data from the database efficiently. It includes features like drag-and-drop functionality, automatic syntax generation, and real-time query results, enhancing user productivity and accuracy in database interactions.
It manages and automates business processes and workflows, streamlining operations with tools and functionalities. It defines task sequences, decision points, and conditional logic, automating repetitive tasks. It sends notifications, alerts on deadlines, and priority issues, offering real-time visibility, monitoring progress, identifying bottlenecks, and providing an audit trail for transparency and accountability.
It gathers IoT data from various frequencies, including SCADA, satellites, crowdsourcing, third-party systems, APIs, and web-scrapers. This integration offers a broad and real-time view, using diverse data sources to improve analysis and decision-making.
A centralized platform for storing and accessing diverse documents, reports, research papers, water- laws, regulations, case studies, and literature on water resources. It eliminates physical storage, reduces printing costs, and allows field personnel to access resources on-site, enhancing flexibility and information sharing across departments.
Enabled to connect with various IoT sensors installed across vast geographies to process real-time water management data such as water level, flow, storage, quality, precipitation, and other weather parameters. It also facilitates trend analysis and pattern recognition to detect abnormalities in these parameters.
A sandbox is a secure, isolated environment for testing software and applications without impacting the main system. It allows safe experimentation, debugging, and analysis of new or untrusted code, enabling users to extract user-desired data from existing systems and create scripts for executing various tasks efficiently.
Our 3D engine provides a graphics environment to view flood inundation risks for facilities and properties in a three-dimensional visualized mode allowing users to assess and analyze flood risk with immersive and accurate visual representations.
It prioritizes collaboration, allowing teams to work simultaneously on creating, managing, and analyzing models. It supports AI/ML, hydrological, hydraulic, optimization, crop growth, demand, statistical, and stochastic models, enabling sharing and exporting of results. This tool streamlines diverse models’ development, deployment, and maintenance in a unified environment.
A smart co-pilot with advanced text and vernacular features. GenAI listens to conversations with appropriate permissions and provides inputs like a knowledgeable third party. It harnesses computational power to extract data from dashboards and other resources, delivering precise, targeted information to enhance your decision-making and operational efficiency.
Remote Sensing engine focussing on satellite image processing related to atmosphere and land interactions. It supports agriculture, meteorology, weather forecasting, hydrology, and water resource management applications, providing essential data and insights for informed decision-making in these areas.
Empowering renewable energy optimization to pave way for carbon free power grids.
Putting technology into action for climate smart agriculture and add to social welfare.
Ensuring equitable access to clean water for everyone with smart water management.
Taking adaptive measures with technology innovation to tackle climate change risks to life and property.
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