Systems engineering studio, Bratislava

We build the systems your product runs on.

ECORTIQ is a systems engineering studio. We design and build the high-throughput backends, cloud platforms, streaming data, and applied AI that sit under demanding products, then help you run them in production.

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Building and running production systems since 2017

All systems operational ecortiq / ops
99.98%
Median uptime, managed platforms
41 ms
Typical p99 API latency
60+
Production deploys per day
3.5M/s
Peak events handled
deploy.log
# rolling release, zero downtime
> ledger-core v4.12.0 promoted to prod
> canary 5% healthy, error budget ok
> full rollout complete in 4m12s

Building production systems with teams across fintech, energy, logistics, and health

Nordbank Helio Energy Kestrel Logistics Verta Health Meridian Freight Aurora Mobility

What we build

Four practices. One engineering standard.

We focus where correctness and scale actually matter. Each practice is run by senior engineers who have operated these systems in production, not just designed them on a whiteboard.

01 / Platform

Platform & distributed systems

High-throughput APIs, event-driven services, and resilience engineering. We build backends that degrade gracefully instead of falling over.

Explore practice 02 / Cloud

Cloud & infrastructure

Kubernetes platforms, infrastructure as code, observability, and SRE. Repeatable environments and a clear path from commit to production.

Explore practice 03 / Data

Data & streaming

Real-time pipelines, event streaming, and analytics platforms. Move data from source to decision in seconds, not overnight batches.

Explore practice 04 / AI

Applied AI systems

Retrieval systems, model serving, and evaluation pipelines. We put language models into production behind guardrails you can measure.

Explore practice

How we work

Senior engineers, accountable for what ships.

There are no account managers between you and the work. You talk directly to the people writing the code and carrying the pager. We treat your production system as something we are responsible for, not a ticket to close.

  • Small senior teamsTwo to five engineers per engagement, median eleven years of experience each.
  • We run what we buildOptional managed operations with defined SLOs and 24/7 on-call.
  • Readable systemsDocumented architecture, runbooks, and a clean handover if you take it in-house.
  • Fixed scope, honest estimatesWe tell you what is hard and what is not, before you commit budget.

By the numbers

A track record measured in uptime.

99.98%
Median platform uptime over twelve months
42
Production systems delivered since 2017
3.5M/s
Peak event throughput handled in production
6 wk
Median time from kickoff to first release

Selected work

Systems in production, at scale.

A sample of engagements. Names and figures are representative of the systems we build.

Fintech / Ledger

Real-time ledger for a digital bank

A double-entry core that settles balances the moment a transaction lands, replacing an overnight batch.

12k/sTransactions
40 msp99 settle
 Energy / Platform

Kubernetes platform consolidation

Merged eleven ad hoc clusters into one governed internal platform with self-service deploys.

62%Infra cost cut
400+Services
 Logistics / Streaming

Fleet telemetry at scale

A streaming pipeline turning raw vehicle events into sub-second operational dashboards.

3.5M/sEvents
0.8 sEnd to end
View all case studies

How an engagement runs

A process shaped around production.

01

Discovery and architecture

We map constraints, failure modes, and data flow, then produce an architecture you can actually staff and afford. Two weeks, fixed fee.

02

Build in vertical slices

We ship a thin, working path to production early, then widen it. You see real behavior under load from week one, not a demo at the end.

03

Harden and hand over

Observability, runbooks, load tests, and an on-call plan. We either operate it for you or hand it to your team cleanly.

See the full process

Technology

Boring where it counts, sharp where it pays off.

We pick tools for their operational track record, not their hype cycle. The stack below is the one we reach for most, chosen because it holds up under real traffic and real on-call.

Our full stack and standards

Frequently in production

Go Rust TypeScript Python Kubernetes PostgreSQL Kafka Terraform ClickHouse gRPC OpenTelemetry Triton
ECORTIQ took a ledger we were afraid to touch and turned it into the most reliable service we run. They understood the failure modes better than we did.
JK
Jonas Keller
VP Engineering, Nordbank

Start

Have a system that has to hold?

Tell us what you are building and where it hurts. We will tell you honestly whether we are the right team for it.

Start a project See capabilities