nventr nQube: AI Workflow Builder
Provides integrated tools for auto-scaling, resource provisioning, and performance monitoring that allow you to operationalize AI and machine learning models rapidly.
nQube provides real-time insights into data volumes and model performance. Control the performance of active microservices and manage the throughput of custom neural networks with automatic scaling according to project requirements.
nQube enables the deployment of machine learning models in production environments. No matter where a model is built, whether it exists on-premises, in the cloud, or on edge devices, our platform supports no-code, low-code, and full-code tools to enable users of all skill levels to build and integrate models into workflows quickly.
Gain visibility into your AI processes with an interactive workflow visualizer. It provides real-time insights into production volumes, component statuses, and queue feedback down to the microservice level. Configure memory allocation and parallelization to meet your computational needs and optimize workflows for specific throughput requirements.
It includes a dynamic library of reusable connectors, pre-trained AI models, and third-party integrations. Easily assemble complex workflows using a drag-and-drop interface and access pre-built connectors to standard data stores, pre-trained AI models for tasks like computer vision and NLP, and preconfigured services for object detection, behavior prediction, and more.
From auto-scaling and resource provisioning to performance monitoring, nQube provides the infrastructure needed to operationalize ML models.
Cater to business analysts, developers, and data scientists alike with flexible coding options.
Stay ahead of model concept drift with built-in tools for continuous performance tracking and evaluation metrics.
Easily scale resources and workflows to meet evolving project demands and handle varying data volumes.
Simplifies the process of building, deploying, and managing AI workflows, reducing the learning curve for new users.
Ensure data integrity and security with advanced access controls, and compliance with industry standards.
Workflow builders automate repetitive tasks and streamline business processes. This includes automating approvals, notifications, data entry...
Team members can allocate tasks, track progress, and communicate with one another through them...
CRM workflows built using workflow builders automate customer interactions and enhance customer service...
nQube automates data extraction from a variety of sources. It also transforms the data according...
Enhance your AI strategy with nQube to maximize efficiency, improve decision-making, and drive innovation.
By automating task assignments and approvals, workflow builders ensure resources are allocated effectively, reducing bottlenecks and improving productivity.
Workflow visualization tools provide a clear overview of process steps, bottlenecks, and performance metrics. Transparency helps identify areas for improvement and make informed decisions.
With the help of no-code, low-code, and full-code tools, it is possible to integrate seamlessly across various environments (on-premises, cloud, and edge devices). This enables users from diverse backgrounds, including data scientists and business analysts, to build and deploy AI models efficiently.
nventr nQube offers tools for auto-scaling, resource provisioning, and integrated performance monitoring. These capabilities ensure that ML models remain stable and efficient, adapting dynamically to changing project requirements and data volumes.
nventr nQube provides flexible coding options ranging from no-code to full-code solutions. This accommodates users with varying technical expertise, empowering them to build, train, test, and deploy neural networks and other ML models effectively.