GENERATIVE AI SOFTWARE

The enterprise platform for scaling generative AI solutions

Vertesia is a unified, low-code platform, used by both IT and business professionals, to rapidly build and intelligently operate generative AI (GenAI) apps and agents through the enterprise
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COMPOSABLE ARCHITECTURE

Take a look at our platform architecture

We believe that you should spend your time building new generative AI apps and agents, not infrastructure
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Vertesia’s state-of-the-art platform architecture ensures that you are always up to date with the latest advancements, allowing you to focus on creating immediate tangible value for your enterprise
MODERN COMPONENTS

We're built on industry-leading technology

Our platform is designed to be highly available, secure, scalable & performant, and interoperable by leveraging best-of-breed technologies such as MongoDB Atlas, Google Cloud Storage/Amazon S3, and Temporal, and running on world class Cloud providers such as AWS, GCP, and Azure

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Security

Our SOC2-compliant SaaS platform is built on a foundation of enterprise security, leveraging a best-in-class security architecture which natively integrates with leading authentication solutions.

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Scalability

Featuring a serverless API and a modular architecture that can be scaled independently, Vertesia will scale to even the most demanding enterprise workloads. Additionally, with our unique multi-model architecture, we can distribute GenAI workloads across multiple models and even different providers.

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Flexibility

Vertesia was designed, from the ground up, to support multi-Cloud deployment, giving you complete control and flexibility over where you deploy our platform. We also offer a fully hosted, multi-Cloud SaaS solution.

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Interoperability

Our API-first approach ensures that every function and capability of the Vertesia platform is also exposed as an API which can be readily integrated into other enterprise applications.

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Built for today's enterprises

We invented the concept of virtualized LLMs – a capability that allows us to distribute generative AI tasks across multiple models and providers to eliminate any single point of failure
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Dynamic failover
In the event one AI model fails, tasks can automatically be reassigned to other models or providers.
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Load balancing
Tasks can be distributed across multiple models or providers, based on user-assigned weighting. Want to assign a task to Llama3 instead of GPT4 in 30% of cases? No problem.
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Fine tuning
While we most commonly employ leading GenAI models in our solutions, we also support custom GenAI models. Virtualized LLMs also enable model training and fine tuning utilizing the results of better-performing models.

Virtualized LLMs deliver a number of critical benefits

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Performance evaluation

Tasks can be sent to multiple models in parallel to assess performance and accuracy.

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Cost optimization

Workloads can be instantly reassigned to lower-cost models, giving enterprises fine-grained control over both cost and performance.

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Model Independence

With our broad, multi-model support and ability to seamlessly switch between models and providers, we give users complete control over which model or models they use. Model independence avoids vendor lock-in and makes our platform entirely future proof as well.

CONNECTIVITY

The platform is API-first

Integration is foundational to adding generative AI-powered tasks to existing business processes
and to surfacing custom GenAI services in business applications and solutions
With Vertesia, you can easily publish task definitions as robust API endpoints, ensure high-quality schema validation, and minimize call latency. And, given our API-first approach, you can rest assured that any capability of the platform is already available in our API.
MULTI-CLOUD

We offer multiple cloud deployment options

The Vertesia platform is a multi-Cloud, SaaS offering hosted on Google Cloud, AWS, and Azure. Our platform can also be deployed independently on any public or private cloud that supports container images and MongoDB.
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FAQ

Commonly Asked Questions

What does API-first mean?

Everything you can do in the UI you can do through the API. 

Can Vertesia be used with custom models?

Yes, custom models can be accessed through any supported inference providers.

Is Vertesia an LLM application development framework?

No, Vertesia is an end-to-end platform that offers production-ready LLM services, a content engine, and agentic orchestration.

Rapidly build and intelligently operate generative AI apps and agents

The Vertesia platform delivers the power and flexibility of an LLM application development framework without the complexity. And, unlike proprietary solutions, Vertesia is both enterprise-grade and vendor agnostic, enabling customers to solve complex business problems with all the leading inference providers and to deploy anywhere.
See Vertesia in action. Schedule a demo now.