ENTERPRISE GENERATIVE AI PLATFORM
Build smarter.
Deploy faster.
Scale bigger.
Develop apps, agents, and services with unmatched agility on our generative AI platform.
COMPOSABLE AI ARCHITECTURE
Ready to use, built to scale
Don’t waste time and money building costly infrastructure. Use our unified, low-code platform and scale GenAI projects across your enterprise with ease.
A foundation you can build on
Secure
Get complete peace of mind with SOC2-compliant software, enterprise-grade security, and native integration with industry-leading authentication solutions.
Scalable
Serverless API. Modular architecture. Vendor-agnostic. With Vertesia, you can scale projects independently, handle workloads easily, and distribute them across multiple models.
Flexible
Vertesia supports leading cloud infrastructures, including AWS, GCP, Azure, or your own private cloud. We also offer a fully-hosted, multi-cloud SaaS solution.
Interoperable
As an API-first solution, you can seamlessly integrate every function and capability of the platform with your existing applications.
Virtualized LLMs = virtually unstoppable
Unlike other GenAI dev tools, Vertesia’s virtualized LLMs can distribute workloads and tasks across multiple models and providers – so there’s no single point of failure.
Dynamic failover
Experience uptime, all the time. If one AI model fails, Vertesia automatically reassigns tasks to other models or providers – keeping your app or agent running no matter what.
Load balancing
Want to use different models for different tasks? With Vertesia, you can distribute workloads across multiple models to optimize for quality of execution, speed, and cost.
Fine tuning
Using a combination of leading GenAI models, our virtualized LLMs can also continuously fine tune – creating better-performing models for the task at hand.
Speed, cost, or quality? Now you can have it all.
Performance evaluation
Assess performance and accuracy by sending tasks to multiple models, in parallel.
Cost optimization
Control costs with a click by assigning and reassigning workloads to any model, anytime.
Model agnostic
Seamlessly switch between models and providers, and avoid vendor lock-in.