Vertesia

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Introduction: Vertesia is a low-code generative AI development platform designed to accelerate the creation of APIs built on top of LLMs. It provides enterprise-grade tools for developing, deploying, and managing generative AI applications and agents. The platform includes features for composition, templating, testing, orchestration, caching, load-balancing, and monitoring for LLM-based workflows.
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Vertesia Product Information

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.

Vertesia's Core Features

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

Vertesia Use Cases

#1 Automate account opening in financial services
#2 Claims automation in insurance
#3 Content generation for retail and CPG
#4 Customer service automation
#5 Code generation and collaboration for software and SaaS
#6 Patient intake in healthcare

FAQ from Vertesia

What are generative AI development solutions? +

Generative AI development solutions are software platforms that help organizations quickly design, test, and deploy custom generative AI agents and applications. Vertesia is a unified, low-code solution that accelerates development and testing while providing 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 use generative AI to process bills of lading and optimize supply chains.

How long does it take to develop and implement a generative AI solution? +

It varies. For companies building their own infrastructure, it can take over six months. Vertesia customers typically develop, test, and deploy new generative AI applications in a few 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, meaning any task, prompt, or project built with Vertesia is automatically assigned a unique REST API endpoint for seamless integration.

What is the cost of developing a generative AI solution? +

For companies that build their own infrastructure or outsource development, costs can reach 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 of the cost.

How secure are generative AI solutions? +

Generative AI development solutions are highly secure. Vertesia is SOC2 Type II-certified and supports data privacy standards such as HIPAA, GDPR, and CCPA. Vertesia is not a model provider and does not require access to your data.

Vertesia Pricing

Free

$0

Free plan available.

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