Question: Is there a solution that uses AI to automate multi-modal tasks and make AI development more accessible?

If you're looking for a system that uses AI to automate multi-modal tasks and make AI development more accessible, V7 could be a good choice. This machine learning development platform automates tasks up to 90% and optimizes data labeling, cutting labeling costs by up to 80%. It includes tools like V7 Darwin for image and video labeling and V7 Go for multi-modal tasks. With support for many data formats and compliance with major regulations, V7 is used in industries like Healthcare, Insurance and Finance.

Another powerful platform is VectorShift. It's got a no-code interface with drag-and-drop components and a code SDK for API access, so you can build AI-powered applications like chatbots and automation workflows. With more than 60 pre-built pipelines and integration with tools like Google Drive and Salesforce, VectorShift covers a lot of use cases. It offers several pricing tiers to match your needs.

Abacus.AI is another contender. It lets developers build and run large-scale AI agents and systems using generative AI and other advanced neural network techniques. The platform includes tools for building end-to-end RAG systems, automating workflows and integrating multiple data sources. With high availability and compliance features, Abacus.AI is designed to make complex AI tasks more accessible and manageable.

For a no-code option, Open Agent Mobile is an automation platform that uses natural language processing and multi-modal models like Atlas-1. It lets users create end-to-end automations through a conversational interface and includes special-purpose agents for sales, marketing and product needs. It's good for companies that want to automate complex processes without having to hire a lot of developers.