Vertesia is a unified low‑code enterprise AI platform that enables organizations to design, test, and deploy generative AI agents and applications in weeks rather than months. The platform offers a visual AI Studio, autonomous agent builder, and reusable app library, all with built‑in orchestration, observability, and enterprise‑grade security across multi‑model LLM deployments. It supports flexible SaaS, private‑cloud, or on‑premises deployments and includes consultative onboarding to help identify high‑value use cases.
Funding
$4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
3OFounders
Product
Problem
Enterprises often spend six to nine months and large budgets building custom generative AI infrastructure, only to see projects stall in experimentation and never reach production. This results in high costs, fragmented security controls, and limited ability to scale AI across core business processes.
Solution
Vertesia offers a unified, low‑code enterprise AI platform that lets organizations design, test, and deploy generative AI agents and applications in weeks instead of months. The platform provides a composable architecture with built‑in orchestration, observability, and security, eliminating the need to build foundational AI infrastructure. Users create workflows in a web‑based AI Studio, build autonomous agents with a visual builder, and launch custom AI apps from a shared component library. Multi‑model support allows seamless switching between LLM providers, while virtualized LLMs distribute workloads to avoid single points of failure. The solution includes SOC 2 Type II‑certified security, HIPAA, GDPR, and CCPA compliance, and can run on any major cloud or on‑premises VPC. A consultative onboarding workshop helps customers identify high‑value use cases and accelerate adoption.
Target Audience
Primary customers are large enterprises and mid‑market organizations that need to automate core and supporting business processes with trustworthy generative AI agents and applications.
Features
- Low‑code AI Studio UI for rapid design, testing, and deployment of generative AI tasks
- Autonomous Agent Builder that creates scalable agents for complex, multi‑step workflows
- Agentic AI Apps library with reusable UI components and pre‑built templates
- Multi‑model virtualized LLM layer supporting AWS, GCP, Azure, and private cloud providers
- Serverless, modular API‑first architecture with REST, OpenAPI, JavaScript SDK, and CLI
- Built‑in content preparation (RAG) to reduce hallucinations and ensure accurate, business‑logic‑grounded responses
- Enterprise‑grade security: SOC 2 Type II, HIPAA, GDPR, CCPA, encryption, and fine‑grained access controls
- Flexible deployment options: SaaS multi‑cloud, private cloud, or on‑premises VPC