vertotech
Inference · Retrieval · Agents · Eval

Infrastructure for production AI.

Vertotech builds the systems that make production AI reliable and affordable — inference platforms, GPU orchestration, retrieval, and the agentic infrastructure to run them at scale.

What we build

The platform layer for production AI

From the first inference call to the last governance review — and everything that runs between them.

Research

From the Lab

Original research from the team — open problems we are building real systems against.

AI Security·Prototype

PROVENANT — build-time adversarial assurance for agentic AI

An agent is only as trustworthy as the tools it can reach. PROVENANT red-teams an agent's MCP tool configuration in the delivery pipeline — and blocks the pull request before an unsafe agent ships. Includes a live, interactive gate simulation.

Read the research
10×
throughput on the same GPUs
60%
cost reduction at parity quality
p99
latency SLOs that hold under burst
24/7
on-call for managed deployments

Industries

Built for teams running AI in the real world

Sector-specific playbooks for the verticals where AI now meets regulation, scale, and customers.

How we work

Principles that hold under load

Cost is a first-class signal

Every workload we build emits cost-per-call at the route, model, and team level. You can't optimize what you can't see.

Evals are infrastructure

If it can't be measured continuously, it can't be operated. We treat eval pipelines like CI — they gate, they alert, they run on production traffic.

Engineer-grade delivery

Senior practitioners ship into your repos. Findings come with patches. Architectures come with on-call docs.

Built on the stacks that matter

AWSGCPAzureKubernetesRayvLLMTensorRT-LLMTritonPyTorchLlamaAnthropicOpenAIpgvectorQdrant

Ready to put AI into production?

Tell us about the workload, the latency budget, and the cost ceiling. We'll come back with a scoped plan within two business days.