We are content and AI experts
Vertesia was founded by the same leadership team who created 
– a leading enterprise content management (ECM) and digital asset management (DAM) platform
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
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
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 & AI Agents
Learn about basic vs semantic RAG strategies, how RAG helps prevent hallucinations, and challenges to consider
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
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
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.
Schema validation
Multi-model load balancing
Multi-model failover
Asset ideation
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.
— CTO at Leading Philanthropic Foundation
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.
— Matt Mullen, Lead Analyst | AI Applications at Deep Analysis
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.
— Matt Arcaro, Research Director of Computer Vision & AI at IDC