00 · Data & Infrastructure Engineering

Bespoke software, data and monitoring for your servers.

Hedron is a small studio for collecting, managing and monitoring your data, services and servers. We design the system, build it, and keep it running, on your infrastructure or on ours.

How Hedron works across a system the system hosting yours or ours monitoring low latency / alerts data pipelines / RAG software Clojure / Java / C
FIG. 0 / scope of work

01 · About

A small studio, deliberately

Small is a choice, not a stage. You talk to the people writing the code, decisions happen in one conversation rather than three, and the engineer who designed your pipeline is the one still maintaining it a year later.

We work from Sarajevo, the capital of Bosnia & Herzegovina, and we prefer systems that are boring to operate: reproducible, well instrumented, and dull at three in the morning.

Currently Building data pipelines and low-latency monitoring for clients across the world in Clojure, Java and C++.

Panorama of Sarajevo, Bosnia and Herzegovina, where Hedron is based

02 · What we do

Four disciplines

From a single server to a continuously running data pipeline. We take the work from design through to the alert that wakes someone up.

FIG. 1.0

Hosting services

Managed hosting on your servers, or on bare-metal and GPU machines we provision and run for you. Everything kept reproducible with Ansible , containerised or not.

FIG. 2.0

Bespoke, low-latency monitoring

Anyone can stand up Prometheus and Grafana. We build the case that does not fit it: stream processing over your event flow with Riemann , alerting in seconds rather than scrape intervals, reading from your sources and writing to whichever store you already run, be it PostgreSQL, VictoriaMetrics, InfluxDB, OpenSearch or Elasticsearch.

FIG. 3.0

Software crafting

Long-lived backend systems, and the integration work that sits between services nobody wants to touch. We take on existing JVM codebases as readily as new ones, from low-level C and C++ up to Clojure, Java and Scheme.

FIG. 4.0

Data pipelines, extraction and RAG

Scalable scraping and transformation, turning unstructured text into typed data. Retrieval and LLM workloads run on the JVM with LangChain4j , alongside the pipeline, over the database and data you already operate. Open models hosted on private GPUs when data cannot leave your infrastructure.

03 · Technology

Tech we enjoy working with

We are not religious about tools. These are simply the ones we reach for first. Some of them are deliberately unfashionable: a Lisp and a stream processor will beat a popular default on the problems we tend to get called about. Where you already have a stack, we work with it rather than replacing it.

04 · Clients

Some of the people we work with

Accrue
Quiero Mi Pedido
FlyerBEE
MyAvenueA
Stylitics
Business Science Associates

05 · Contact

Let's talk about your project

You have an idea, proposal or you simply want to say "Hi"? We will be happy to get in touch and will get back to you.