The startup offers a multimodal artificial intelligence platform that enables users to aggregate, process, and analyze healthcare data to create and deploy machine learning models. This platform facilitates improved diagnostics by allowing non-technical users to iteratively develop models that integrate various data modalities for practical applications in the healthcare sector.
Funding
$7.2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Developing and deploying AI models, especially in healthcare, often requires specialized coding skills and data science expertise, creating a barrier for non-technical users. Traditional AI development can also be expensive and time-consuming, hindering rapid prototyping and deployment.
Solution
Jiva.ai offers a zero-code, multimodal AI platform designed to empower users to create, evaluate, and deploy AI solutions without requiring coding or data science expertise. The platform supports various data modalities, including imaging, video, text, audio, and structured data, enabling users to connect multiple data verticals for comprehensive insights. Jiva.ai streamlines the AI development process, allowing organizations to manage their AI requirements from start to finish and democratize access to data science skills within their existing teams. The platform's AI assistant guides users through the design process, while AutoML capabilities train and test thousands of models to identify optimal solutions.
Target Audience
The primary target audience includes healthcare organizations, financial institutions, marketing teams, administrative departments, and academic institutions seeking to leverage AI without extensive coding or data science expertise.
Features
- Zero-code platform for designing, creating, and deploying AI models
- Support for multimodal data, including images, video, text, audio, and structured data
- Data Science and Automations Assistant to guide users through the design process
- Next-generation AutoML for training and testing thousands of models
- Pipeline editor for technical users to fine-tune solutions
- Cloud-enabled infrastructure for consolidated development, validation, and deployment
- Collaborative development environment
- Integration with Shopify for recommender systems