Accepting new engagements for Q1

Software that holds up when it matters.

IREE is a software engineering studio. We design, build and operate production systems — distributed platforms, data pipelines and product experiences that stay fast under real traffic, not just in the demo.

11 yrsEngineering practice
60+Systems shipped
99.98%Median uptime, operated
< 2 hrsMedian incident response
Capabilities

Four disciplines, one accountable team.

We work as an embedded engineering group or as the whole delivery team. Either way you get senior people writing the code, not account managers relaying it.

Product Engineering

Web and mobile products built from a real architecture, not a template. Typesafe end to end, tested where it counts, instrumented from day one.

  • TypeScript
  • React
  • Go
  • Postgres

Platform & Infrastructure

Kubernetes, Terraform and CI/CD that people can actually operate. We cut deploy times, remove snowflakes and leave a runbook behind.

  • Kubernetes
  • Terraform
  • AWS
  • GitOps

Data & Applied AI

Streaming pipelines, warehouses that stay consistent, and retrieval systems wired into products with evaluation and cost control in place.

  • Kafka
  • dbt
  • Airflow
  • pgvector

Reliability

SLOs, tracing and alerting that page a human only when a human is needed. Incident process, postmortems, and the boring fixes that stop repeats.

  • OpenTelemetry
  • Prometheus
  • SLOs
  • Chaos

Modernization

Incremental strangler migrations off legacy monoliths — in slices that ship, with the old and new systems agreeing on data at every step.

  • Strangler
  • Event sourcing
  • gRPC
  • Cutover

Embedded Teams

A squad that joins your organisation, uses your rituals and your board, and ramps down when the roadmap is delivered. No handover cliff.

  • Staff+
  • Pairing
  • Review
  • Hiring
Approach

Short cycles, explicit decisions, no black boxes.

Every engagement runs on the same spine. You see the plan, the trade-offs and the burn against it every week.

01

Discover

We read the code, talk to the operators and map where the system actually hurts. Output is a written assessment, not a slide deck.

1–2 weeks
02

Architect

Options with costs attached. Data model, failure domains, build-versus-buy, and the migration path we recommend — signed off before code.

1–3 weeks
03

Build

Two-week increments, demoable every Friday, deployed to staging by your own pipeline. Progress is measured in merged, running code.

6–20 weeks
04

Operate

Dashboards, on-call rotation and error budgets. We stay until the team that inherits it has run a full incident cycle without us.

Ongoing
Selected work

Systems in production, not case studies in a drawer.

A sample of what the team has shipped and still operates.

Fintech · Platform

Ledgerline

Rebuilt a reconciliation engine that processed nightly batches into a streaming ledger with exactly-once semantics and per-tenant isolation.

4.2Msettlements per day
Logistics · IoT

Northwind Fleet

Ingestion and telemetry platform for a national fleet. Cut the ingest cost per vehicle by moving hot-path aggregation to the edge gateway.

41kvehicles streaming
Healthcare · Integration

Kestrel Health

FHIR interoperability layer sitting between three EHRs and a patient portal, with deterministic mapping and full audit trails on every write.

99.99%message delivery
Stack

Boring where it counts, sharp where it pays.

“They spent the first week reading our code instead of presenting a roadmap. The architecture doc that came out of it is still what we build against two years later.”

DR
Daniel ReyesVP Engineering, Ledgerline

“Deploy time went from 40 minutes of prayer to 90 seconds of nothing. That single change did more for our release cadence than two years of process work.”

MK
Mira KowalskiHead of Platform, Northwind

Tell us what is breaking.

Send a short description of the system and the constraint you are up against. You will get a written technical reply, not a sales sequence.

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