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.
Inference Platform
Production-grade model serving with autoscaling, routing, and the latency budget you actually need.
Read moreGPU Orchestration
Get more from the GPUs you have and stop paying for the ones you don't.
Read moreData & Retrieval
Pipelines and vector stores tuned for retrieval quality, not benchmark wins.
Read morePrompt-as-a-Service
An industry-tuned prompt platform that generates, evaluates, and ships unique prompts on demand.
Read moreAgentic Infrastructure
Sandboxed tool execution, durable state, and the guardrails to ship agents to customers.
Read moreObservability & Evals
Treat evals as infrastructure. Watch the model the way you watch the app.
Read moreAI Governance
Security, privacy, and compliance designed around your deployment — not a generic checklist.
Read moreIndustries
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
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.