Company
Building the private AI layer for enterprise.
QNTOR was founded on a simple observation: the organisations with the most valuable proprietary data are the least able to use public AI services. We build the infrastructure that closes that gap.
About
Why we exist.
Generative AI became useful faster than enterprise infrastructure could adapt. Security teams, data owners and platform engineers were asked to approve systems that sent their most sensitive information to environments they did not control.
QNTOR provides the opposite default: models, agents and retrieval running inside infrastructure the customer governs, with the operational tooling — routing, autoscaling, evaluation, observability, cost control — that production systems need.
We are a small, technical team of infrastructure and machine-learning engineers building for the long horizon of enterprise AI adoption.
Infrastructure first
We optimise for reliability, isolation and cost — the properties that decide whether AI reaches production.
Customer-controlled
Every design decision assumes the customer owns their data, models and deployment environment.
Technically honest
We publish what the platform does today and never imply certifications or partnerships we do not hold.
Infrastructure shouldn't limit your AI.
Choose your models, infrastructure and deployment environment.
GPU-accelerated inference designed for demanding AI workloads.
Maintain control over proprietary enterprise data.
Move between models and infrastructure without rebuilding your application.
Careers
Come build serious infrastructure.
We hire engineers who care about latency, isolation and operational truth.
Build your AI infrastructure with QNTOR.
Deploy private AI models and intelligent agents on infrastructure designed for the next generation of enterprise software.