Contact us

Our work

From receivers to real-time cockpit view.

We build aviation data systems where telemetry, real-time reliability, and production-grade AI converge. Each project is grounded in a real operating constraint, not a hypothetical use case. Public case studies are linked where available, with additional private project references summarized below.

Delivery model
Applied R&D sprints
Typical stack
Kafka, Trino, Terraform, Kubernetes
Deployment stance
Edge plus cloud
01

Real-Time Flight Tracking UI

SkyTrace

Cockpit-style flight tracking with replay, traffic context, and a front end designed around telemetry clarity rather than generic dashboard tropes.

Read case study

What ships

  • Live telemetry views with route and traffic context
  • Historical replay for investigation and product iteration
  • Operational UI patterns shaped by aviation workflows

Operational proof

Telemetry UX / Replay / Front-end surface

Public case study available now.

02

Aviation Data Infrastructure

Telemetry Platform

End-to-end data foundations for ADS-B receivers, weather feeds, stream processing, lakehouse storage, and production observability.

Read case study

What ships

  • Receiver ingest with validation and buffering
  • Kafka and orchestration layers with replay support
  • TimescaleDB and Trino for operational and analytical access

Operational proof

Ingest / Streaming / Lakehouse / Observability

Public case study available now.

03

Applied AI for Fleet Reliability

Predictive Maintenance

Operational AI systems that combine telemetry, maintenance history, and monitored ML workflows to surface earlier signal for maintenance planning.

What ships

  • Anomaly detection on sensor and inspection data
  • Decision-support views for maintenance teams
  • Versioned ML workflows with monitoring and drift review

Operational proof

Applied AI / Maintenance support / Reliability

Representative private delivery references available on request.

04

Edge to Cloud in One Operating Model

Hybrid-Cloud Infrastructure

Infrastructure as Code, CI/CD, and observability patterns that keep edge and cloud deployments reproducible and supportable.

What ships

  • Terraform-led infrastructure delivery across OCI and AWS
  • Kubernetes orchestration with controlled rollout paths
  • Operational automation and rollback-aware deployment routines

Operational proof

Infra as code / CI-CD / Operability

Representative private delivery references available on request.

How we work - Working systems before presentations

The studio approach is to prove the foundation first, then scale toward product tools and applied AI once the data layer is stable.

  • Understand the real constraint. We start with the actual system boundary: where events originate, where timing matters, and where human decisions need better signal.
  • Prove the data foundation. The first milestone is usually a trustworthy ingest, replay, and storage layer that can support product and analytical work without hand-waving.
  • Ship the operational tool. Only after the foundation is stable do we push outward into telemetry UX, automation, and applied AI where it will survive production.

Have a technical challenge?

We work on data infrastructure, platform architecture, and applied AI for aviation and mission-critical operations. Happy to talk through it.

Talk to us

Location

  • SkyAlgorithm Studio
    150 00 Prague, Czech Republic