We do not build apps. We build systems.

AI-enabled, cloud-native, running on your infrastructure.

The learning loop

  1. Partner instance
  2. Anonymization step
  3. ENSIA model lab
  4. Back into the system

One model, three parts: a system, an instance, a learning loop

An app is a screen. A system is everything behind it, and the models that learn from it.

  • AI-enabled

    Every system ships with the data model and the live events a learning model needs.

  • Cloud-native

    Kubernetes, infrastructure as code, immutable images, autoscaling, a pipeline with security gates.

  • Plug and play on your infrastructure

    A dedicated instance: your domain, your branding, your data, your admin console. Your data never leaves your perimeter.

Daltech: live queues and appointments

Built in eighteen months by two engineers, in production on daltech.live.

1,656
commits across 7 repositories
263
API routes on 52 data models
2 to 6
API replicas, autoscaled
354
requests per second under load test, p95 67 ms, zero errors

Read about the system

A 45-minute framing call with your direction.

Built to run. Built to learn.