AI-powered softwareexecution.

We design, build, and deploy intelligent systems for ambitious teams. AI agents, automation, custom platforms, data — engineered to ship in weeks, not quarters.

<14dAvg. MVP timeline
100%Senior engineers
6+Years AI / ML
EUAthens · Remote

The stack we trust

OpenAIAnthropic ClaudeVercelNext.jsTSTypeScriptReactPyPythonAWSGCPPostgreSQLKubernetesFirebaseNode.jsLangChainPineconeSStripe

Four practices. One outcome — software that ships.

We're not a feature factory. Every engagement is scoped against a measurable outcome, run by senior operators, and shipped to production.

01 / Intelligence

AI Automation

Agents, workflows, and integrations that take real work off your team. From support routing to ops automation to LLM-powered internal tools.

  • AI agents & multi-step workflows
  • LLM applications (RAG, evals, guardrails)
  • Sales & support automation
  • Internal AI tools & copilots
02 / Surface

Web & Product Engineering

Production-grade web platforms — SaaS, dashboards, marketplaces, MVPs. Built with the stack your future engineers will want to work in.

  • SaaS platforms & marketplaces
  • Internal dashboards & admin tools
  • Booking & ops systems
  • MVPs in weeks, not quarters
03 / Signal

Data & Analytics

Pipelines, dashboards, and forecasting systems that turn raw events into operating decisions — without the BI-consultancy theatre.

  • Real-time analytics dashboards
  • BI & reporting systems
  • Data pipelines & ETL
  • Forecasting & anomaly detection
04 / Operate

Software Consulting & Execution

Architecture, cloud infra, scaling, integrations. Embedded execution support for teams that need senior operators, not slide decks.

  • System architecture & technical strategy
  • Cloud infrastructure & APIs
  • Scaling & performance
  • Embedded execution support

Six weeks from kickoff to production. No ceremony in between.

We run engagements the way fast startups run sprints. Senior operators, no middlemen, weekly working software.

Step 01Week 0

Discover

A focused 3-day workshop. We map the system, the constraints, and what success looks like in numbers. You leave with a written scope.

Step 02Week 1

Strategize

Architecture, stack, surface area. We make the decisions that will matter at month three. Sequenced, costed, ready to build.

Step 03Weeks 2–6

Build

Weekly demos. Shared Slack. Real code in real environments. No 'big-bang' reveals — you see the system grow.

Step 04Week 6+

Deploy

Production infrastructure, observability, alerting, rollback. We ship behind feature flags so launches are boring on purpose.

Step 05Ongoing

Iterate

We instrument what matters and tune what isn't working. Either we hand off cleanly or we stay embedded — your call.

Engagements that moved the metric.

A snapshot of recent builds. Each ran 4–8 weeks end to end. Full write-ups available.

See all work

Senior, AI-native, execution-focused. Three things, no compromises.

We started G‑Mach Labs because the gap between 'we have an idea' and 'it's running in production' was the most expensive 18 months of every startup we'd ever worked at. We're built to close it.

100%Senior engineers on every project

No juniors, no offshoring.

Every line of code, every architecture call, every PR review — handled by senior operators who've shipped real systems at scale. You get the team that sold you the work.

AI-nativeBuilt with the tools we recommend

We use what we sell.

We don't just talk about AI — we run on it. Internal copilots, code agents, eval pipelines. The same workflows we build for clients we run on ourselves first.

4–8wAverage kickoff to production

Startup speed, production quality.

We optimize for ship velocity without taking on the kind of debt that catches up at month six. Observable, tested, instrumented — boring on purpose where it matters.

Have something you want to ship?

We're currently taking on three new engagements this quarter. Tell us about your project — we'll reply within 24 hours with a shape and a timeline.