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Full-Stack Product Engineering

A product team that owns your modules. For years.

We build across web, API, frontend, and mobile. Then we keep building. One engineer at Allego in 2017 became 30+ across 5 squads. That is the partnership we offer.

When you need this

You need to ship product faster. So you hire help.

Most help writes code to spec. You hand over a ticket. They build exactly that ticket. They own nothing. The moment the spec has a gap, work stops and waits for you. Every architecture call lands back on your desk. The team has no opinion because it was never asked to have one.

That is a body shop. It scales your typing, not your engineering.

We work the other way. We take a module and own it. We propose the architecture. We catch the edge cases you did not write down. We ship, then we maintain what we shipped. You stop reviewing every decision. You get your time back.

This is the model for founders and CTOs who are past the prototype. The product works. Now it has to scale, and the team has to grow without losing the plot.

A body shop scales your typing. A partner scales your engineering.

What we do

We build whole products, not slices. One team, accountable for the result.

Resilient backends

We build reactive backends in Java and Spring Boot that stay fast under load. Datadocs, the Cinley product, moved large datasets through import and export. We made those operations more than 3x faster and built a maintainable Elasticsearch query engine for the tricky aggregations.

Modern frontends with real data visualization

React and Angular, built to handle messy state. Cinley's frontend was tightly coupled, so any fix broke something else. We refactored it in small steps, each one tested and shipped to production. No big-bang rewrite. No frozen feature pipeline.

Mobile that ships to both stores

ScholarNest is a mobile-first learning app in Flutter, on iOS and Android from one codebase. It runs voice-based AI checks on a child's answers, with a parent dashboard on top.

BDD and executable requirements

We write requirements as executable specs in Cucumber. The requirement and the test are the same artifact. A feature is done when its scenarios pass, not when someone says it looks fine. That is how the Allego team holds quality across 10+ owned modules.

Long-term ownership and maintenance

We do not hand off and walk away. We run the systems we build. We tune them, extend them, and modernize them as the product grows.

One team owns the full product stack, with executable requirements wrapping every layer ONE TEAM owned for years 01 / CLIENTS Mobile Flutter Web React / Angular 02 / API API layer REST / contracts 03 / SERVICES Backend services Java / Spring Boot 04 / DATA PostgreSQL relational Elasticsearch search EXECUTABLE REQUIREMENTS BDD tests wrap every layer

One team across the full product stack

One team owns every layer, from Flutter and React clients down to Spring Boot services and the data stores, with executable requirements wrapping the whole stack.

Proof

We grow into teams that own the product.

1 to 30+
Engineers, grown in place
5 squads
At Allego today
10+ modules
Owned end to end

We grow into teams that own the product. The clearest proof is Allego.

In 2017, Allego needed engineering capacity, not a vendor. We started with one engineer. Today we are 30+ engineers across 5 squads, owning 10+ platform modules from idea to production. Search, conversation intelligence, AI roleplay, embedded analytics. Eight years and still growing. Read the Allego engineering partnership case study.

The same ownership shows up across smaller builds. UnleashTeams is a structured execution platform: goals, sprints, reviews, and dashboards. Built in Java, Python, React, and PostgreSQL. Datadocs (the Cinley product) imports and visualizes large datasets, spreadsheet-style. We made import, export, and queries more than 3x faster, then added Google OAuth, Stripe billing, usage limits, and zero-downtime CI/CD on Google Cloud. Their CEO recommends us "for any project in Java or Elastic."

ScholarNest checks a child's understanding by voice: a Flutter app, a Python and FastAPI backend, a vector database for semantic matching, and an LLM that scores the answer. Vitim is a flight assistant for aviation operators, founded by healthcare and industry veterans. We crawled weather, webcam, and geographic data across EU regions and made it searchable in real time, with geo-fencing tied to a flight's live position. We tuned the cluster so heavy ingestion did not slow queries. See more in our case studies.

Technology

We pick boring, proven tools.

Java / Spring BootNode.jsReact / AngularFlutterPostgreSQL / MongoDBElasticsearchDocker / KubernetesCucumber (BDD)

We pick boring, proven tools. No resume-driven development. When search or analytics is the hard part, it plugs into our work on enterprise search and analytics engineering.

How we work with you

Start small. Prove it. Scale into a team that owns it.

You do not have to bet a multi-year partnership on day one. A fixed-fee assessment gives you a blueprint and a roadmap. A fixed-scope pilot ships one real use case to production. Then an embedded senior team owns modules for years. The Allego model.

  1. 01 Assess

    Architecture & Readiness Assessment

    A fixed-scope engagement. You get an architecture blueprint, risk analysis, roadmap, and ROI estimate.

    1 to 2 weeks $3-5K
  2. 02 Prove

    Pilot / Proof-of-Value Build

    One real use case, shipped to production, with monitoring in place.

    4 to 8 weeks from $15K
  3. 03 Scale

    Embedded Engineering Partnership

    A senior team owns modules end to end, for years. The Allego and benelog model.

    Ongoing Custom