ZINTER//RESEARCH · DEFENCE · MOBILITY · ENERGY

Customised AI for
critical infrastructure.

Zinter Technologies is a deep research startup building deployable and sovereign AI for critical infrastructure in defence, mobility and energy.

Mode
Deep research lab
Domains
Defence · Mobility · Energy
Approach
Sovereign · Secure
Status
Building · Hiring
[ 01 ] Manifesto

Intelligence in the infrastructure.

// RESEARCH-LED · INDEPENDENT

We build systems that move, power and protect society. Designed for critical environments where reliability, control and security matter.

[ 02 ] Research

We are a research lab.

// ACTIVE LINES
R.01

Applied AI systems

Deployable AI for defence, mobility and energy infrastructure.

R.02

Autonomous decision support

Models that help operators understand complex situations.

R.03

Secure deployment

AI deployed securely on controlled infrastructure.

R.04

Adaptive models

Models that adapt to changing conditions.

R.05

Multisource intelligence

Turning signals, systems and data into usable intelligence.

R.06

Evaluation and assurance

Testing AI systems for reliability, safety and performance.

[ 03 ] About

Applied AI.

// PRINCIPLES

Zinter Technologies is a Berlin-based AI research and engineering startup working with teams across Europe and beyond.

We are scientists and engineers with experience across national labs, defence primes, fintech, logistics and energy infrastructure.

P.01

Science first

Claims require evidence. Benchmarks must be transparent.

P.02

Research to deployment

We focus on research that can become reliable system. We build to ship.

P.03

Sovereignty

Critical infrastructure requires control over data, models, infrastructure and decisions. We design for local control from the start.

P.04

Verifiable systems

Every system we deliver is auditable, testable and explainable to the humans.

[ 04 ] Careers

Build with our team.

We hire scientists and engineers with passion for open source AI.
Experience in publishing research and executing complex experiments with large AI models and datasets. Direct experience in generative AI and LLM research.

// OPEN ROLES

// Send the following information: role in the subject, CV, Cover Letter, and portfolio, e.g. GitHub account.

// Don't see your role? Write to careers@zintertechnologies.com.

[ 05 ] Contact

Talk to the team.

// CHANNELS