Vertesia is fundamentally different
Our software was designed for business users, not just IT professionals, to transform business processes with generative AI
We are content and AI experts
Vertesia was founded by the same leadership team who created
– a leading enterprise content management platform
You might ask, why is this important?
Content is foundational to how generative AI works and the quality and the structure of the content that you send to an AI model will determine the quality of the output
Experience
Collectively, we have more than 100 years of experience in working with mission-critical content
AI innovation
We launched our first AI/ML solution back in 2019
Knowledge
Our deep understanding of unstructured data ensures that your GenAI models will deliver the highest-quality outputs
What makes the Vertesia platform unique?
It is the only unified, low-code platform that enables enterprise teams to rapidly build and intelligently operate generative AI apps and agents at scale
Fast and frictionless
Vertesia offers a frictionless, low-code development experience that allows both IT and business professionals to quickly and easily build and deploy GenAI apps and agents
Affordable experimentation
With the Vertesia platform, the cost and time required for experimentation is very low, enabling you to rapidly test and iterate to produce targeted results
10x faster deployment
Time to deployment is 10x quicker than with homegrown generative AI infrastructures
Agentic RAG pipelines
We automate and accelerate the Retrieval-Augmented Generation (RAG) process with GenAI agents to provide more accurate and contextually relevant outputs
Intelligent pre-processing
Our platform uses agents to assist with content pre-processing, leveraging multiple LLMs to prepare the content, create a schema, and generate new content
Hybrid search
We support hybrid search techniques, featuring 3-layer Vector, Graph, full text, and explicit-language search queries for fine-grained retrieval
Semantic chunking
We use a GenAI model to intelligently chunk large documents into semantic groupings to improve RAG efficiency and accuracy
Effective RAG Strategies for LLM Applications & Services
Learn about basic vs semantic RAG strategies, how RAG helps prevent hallucinations, and challenges to consider
Multi-model support
Vertesia provides native connectivity to state-of-the-art GenAI models from all of the leading inference providers
Reuse prompts across models
Write prompts once, utilize them with any model and seamlessly incorporate new models into existing apps
Model choice
Easily adopt new models as they become available to test performance and optimize costs
Enterprise-grade generative AI
Vertesia, like many GenAI tools and solutions, is highly secure and available
But we take it a step further: virtually every element of the platform – from tasks and interactions to schemas and configurations – is reusable
Resilient & fault tolerance
We provide automated retries when runs fail and support stateful failover so that you can pick up where you left off
Failover & load balance
We support the ability to failover and load balance tasks across GenAI models and providers
Control when you need it, flexibility when you don’t
Rapidly develop, test, and deploy GenAI apps and agents in a true production environment
Observability
Our platform can capture as much, or as little, data as you require. This data is the foundation for observing and analyzing apps and agents.
Auditability
You can quickly recreate runs and interactions and readily access the inputs and outputs for every agentic interaction. Vertesia enables full control and observability over what data is transmitted out and, similarly, validates returned data against business rules and guardrails.
Optimization
With Vertesia, you can capture and replay each model run to review inputs and inspect the resulting outputs. This is invaluable from a development and optimization perspective and is foundational to experimentation.
Innovation, at the speed of AI
Vertesia has a proven track record of GenAI innovation
Schema validation
Multi-model load balancing
Multi-model failover
Asset ideation
All of these are an extension of our expertise in working with content and a product of what enterprise customers need in production
What others are saying
“Partnering with Vertesia has greatly assisted our grants management process. Their LLM platform helps us analyze complex submissions more efficiently and comprehensively, so our team can focus on evaluating the impact of each project and leave the manually intensive tasks to a standardized process within the Vertesia Platform.”
“Vertesia has developed a platform that is designed to provide a strategic response for large enterprises looking to rapidly build, evaluate, and deploy LLM-based tasks with enterprise-level standards and controls.”
“Organizations must prioritize LLM software platform providers that provide them with the environment and tooling to quickly build initial prototypes, understand performance, iterate based on feedback, and progress the solution toward production.”