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Verdict

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Low-code GenAI platform for rapid development, deployment, and operation of AI applications and agents
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Low-code GenAI platform for rapid development, deployment, and operation of AI applications and agents

Overview

Vertesia is a low-code generative AI development platform that facilitates rapid API development atop LLMs to power applications. It provides enterprise-scale generative AI development solutions to develop, deploy, and operate low-code GenAI applications and agents at lightning pace. Vertesia offers composition, templating, testing, orchestration, caching, load-balancing, and visibility to the world of LLMs.

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Access & connections

Where you can use Composable Prompts.

Platforms

Web

Capabilities

What this tool accepts, produces, and is strongest at.

Highlights

  • Low-code development environment
  • Multi-model support
  • Agentic RAG pipeline
  • Enterprise-grade security and compliance
  • API-first integration

FAQ 8

What is Vertesia?
Vertesia is a low-code generative AI development platform that facilitates rapid API development atop LLMs to power applications. It provides enterprise-scale generative AI development solutions to develop, deploy, and operate low-code GenAI applications and agents at lightning pace. Vertesia offers composition, templating, testing, orchestration, caching, load-balancing, and visibility to the world of LLMs.
How to use Vertesia?
Use Vertesia's low-code platform to build generative AI apps and agents. Develop, deploy, and operate GenAI apps at enterprise scale. Automate complex business processes, optimize costs, and scale GenAI apps across your business.
What are generative AI development solutions?
Generative AI development solutions are software platforms that help organizations to quickly and easily design, test, and deploy custom generative AI agents and applications. Vertesia is a unified, low-code generative AI development solution that speeds development and testing and provides a full runtime operating environment.
What are some of the most common use cases of generative AI across enterprise companies?
Common use cases include automatic first notice of loss in insurance, M&A deal room analysis in investment banking, and customer onboarding in commercial banking. In logistics and manufacturing, companies are using generative AI to process bills of lading and to optimize their supply chains.
How long does it take to develop and implement a generative AI solution?
It depends. For companies that build their own infrastructures, it can take more than six months. Vertesia customers commonly develop, test, and deploy new generative AI apps in a few short weeks.
How can generative AI be integrated into a business?
Generative AI agents and apps are typically services that can be called from any existing workflow, process, or enterprise application. The Vertesia platform is API-first, which means that any task, prompt, or project built with Vertesia is automatically assigned a unique REST API endpoint for ease of integration.
What is the cost of developing a generative AI solution?
For companies that elect to build their own infrastructure or choose to outsource generative AI solution development, the costs can run into hundreds of thousands of dollars per solution. Vertesia customers can deploy new generative AI agents and apps more than 10x faster than with homegrown solutions and at less than 1/10th the cost.
How secure are generative AI solutions?
Generative AI development solutions are extremely secure. Vertesia is fully SOC2 Type II-certified and supports a number of data privacy standards – like HIPPA, GDPR, and CCPA. Vertesia is not a model provider and has no need for your data.
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