Darviq Systems is building toward secure software for robotics, space, cyber and defense. We start where those systems start: today we design, build and run cloud platforms on AWS, Azure and Google Cloud, with Kubernetes, infrastructure as code, CI/CD, monitoring and AI.
Every engagement is built to be tested against failure, automated end to end and handed over properly.
Production platforms on AWS, Azure and Google Cloud with Kubernetes, Terraform and CI/CD, offered as fixed-scope engagements with a proper handover.
AI features that do a specific job and keep a person in charge: drafting, summarising and turning free text into structured data with the Claude API, with a person reviewing the result before anything is saved.
Monitoring that pages you for real problems, release pipelines that prove what you ship, and plans for cutovers and rollbacks, so the platform keeps running when something fails.
Fixed-scope engagements for startups and growing teams. You work directly with the engineer doing the work. Every engagement gets a fixed quote after a free call.
A review of your AWS account: architecture, security basics and spend. You get a written report with the changes ranked by savings and risk.
Clusters set up properly on Amazon EKS, Azure AKS or Google GKE, or existing ones tidied up: node groups, autoscaling, network policies, secrets and Helm-based releases.
Your environments described in Terraform and Ansible, so a new environment takes minutes, not days, and every change is reviewed.
Build, test and deploy pipelines with Jenkins, GitLab CI or GitHub Actions, and Argo CD for zero-downtime releases.
Prometheus and Grafana, Zabbix, Datadog, Splunk or CloudWatch: dashboards, logs and alerts that page you for real problems, not noise, all set up as code.
An AI feature added to your product with the Claude API: structured output your code can trust, a human review step, only the data the task needs, and limits on cost.
A map of where your systems rely on encryption that quantum computers would break (TLS, VPNs, SSH, certificates, stored data), and a staged plan to NIST's post-quantum standards, starting with what your cloud and CDN already support.
Moving services from on-premises or OpenStack to AWS in phases, with a tested cutover and rollback plan.
Pipelines that prove what you ship: signed container images, a software bill of materials for every build, vulnerability scanning that blocks a release, and an audit trail from commit to production.
Robots, drones, satellites and defense systems all run on the same foundations: secure software, cloud and edge platforms, data pipelines and careful releases. That is the work we do today, and it is how Darviq Systems grows into the fields that will shape the coming decades.
Fleet software for robots and drones: over-the-air updates rolled out in waves, health and telemetry, simulation in the release pipeline, and secure command links.
Software for the ground: cloud-based ground-segment systems, pipelines that turn satellite data into something useful, and tracking what is in orbit.
Security for connected machines: signed software and firmware, a bill of materials for every release, zero trust at the edge, and the move to post-quantum encryption.
Secure delivery for defense software teams: air-gapped GitOps, sovereign edge and private clouds, and the audit evidence regulated customers need, built to work offline.
AI autonomy: robots, drones and satellites increasingly decide for themselves, so on-device models, simulation and evaluation in the release pipeline are core skills. Quantum technology: quantum-safe encryption now, for systems that must stay secure for decades; quantum sensing and computing as they mature, reached through the cloud.
How we get there: software first, then integrating with hardware partners, then hardware of our own. Civil customers come first, and each step is earned with working systems.
Tell us what you're running and what isn't working. You'll get a straight answer on whether we can help, usually within two working days.
