Jiva.ai is a zero-code platform allowing easy, rapid AI development across diverse data formats. Streamline your AI project with ease, from design to deployment.
Jiva.ai is a zero-code platform allowing easy, rapid AI development across diverse data formats. Streamline your AI project with ease, from design to deployment.
Jiva.ai is a zero-code platform designed to simplify the process of AI development. Whether you are working with images, video, text, audio, or structured data, Jiva.ai helps manage your organization's entire AI requirements from start to finish. It connects multiple data verticals to create meaningful, multimodal insights. Jiva.ai democratizes access to data science and AI skills within your existing team, enabling you to design, create, and deploy AI solutions efficiently.
Who will use Jiva.ai?
Data scientists
Business analysts
Engineers
AI researchers
Organizations with AI needs
How to use the Jiva.ai?
Step1: Explore your data to understand its potential.
Step2: Create AI models using Jiva.ai's assistant.
Step3: Deploy the models for actionable insights.
Platform
web
mac
windows
linux
Jiva.ai's Core Features & Benefits
The Core Features
Data Science and Automations Assistant
Next Generation AutoML
Multimodal AI
The Benefits
Easy data and AI engineering
Rapid model training and testing
Combination of multiple AI models for enhanced insights
Jiva.ai's Main Use Cases & Applications
Imaging AI solutions
Text analysis
Video analytics
Audio processing
Structured data analysis
Jiva.ai's Pros & Cons
The Pros
No-code platform enabling rapid AI model development without programming skills
Supports multimodal data types including image, video, text, audio, and structured data
Includes AI assistant to guide through AI design and deployment process
Advanced AutoML capabilities for training and evaluating thousands of models
Facilitates integration and management of multiple AI models for improved insights
Democratizes AI access for teams without specialized data science expertise
The Cons
No open-source availability or community contributions noted
Pricing details are not explicitly provided on the site and requires demo booking
No direct links to app stores or other platform integrations provided
Limited information on customization and scalability specifics
No public GitHub repository to review code or contribute