Sinthropy

Consulting that ends in evidence.

We work where systems, teams, and deadlines meet, and we measure everything. Baseline data is collected before work starts; outcomes are verified after it ships.

Start a conversation AI adoption

Why teams bring us in

For competing demands, tangled problems, and scattered systems.

Senior, platform-deep

Over a decade of specialised iOS and macOS engineering, with full-stack delivery across web, APIs, and backend services.

Fundamentals first, AI ready

Modern tooling and AI adoption, grounded in computer science fundamentals that outlast the trend cycle.

Measured, start to finish

Baseline data before work starts, outcomes verified after it ships. Every engagement is tied to KPIs.

What we do

Senior help, inside your team or leading it.

  • Project and delivery management

    Planning, prioritisation, and delivery leadership that keeps scope, dates, and quality honest, inside your team or leading it.

    Leadership

  • Software development

    Senior engineering for iOS, macOS, and full-stack web: new builds, feature delivery, and critical-flow rescues inside existing codebases.

    Engineering

  • Process and tooling reviews

    A complete technical review of workflows, methodologies, stack, code practices, and team structure, delivered as a written, KPI-backed report with a prioritised roadmap.

    Advisory

  • AI adoption and implementation

    AI adoption that is safe, reliable, and fit for purpose: risk mitigation, workflow design, training, and secure self-hosted models for privacy-sensitive environments. How we approach AI

    AI

AI adoption that holds up.

We help teams use AI where it actually pays off: safely, measurably, and without handing over their data.

Adoption strategy

Where AI helps and where it doesn't: risks, best practices, and fit-for-purpose choices, measured against a baseline taken before anything changes.

AI inside your product

Reviewing, designing, and implementing AI-driven features and workflows in your apps and internal tools.

Private, self-hosted models

Open-source models running on infrastructure you control, for privacy-sensitive work. Your data and your keys stay yours.

Teams and workflows

Training your people and turning current workflows into AI-ready structures they can keep using after we leave.

How we approach it

Model-agnostic

No lock-in to one vendor or model. Swap them as the field moves, without rebuilding around them.

Agents build, scripts run

AI helps design the process; anything repeatable becomes a script that runs without an agent in the loop.

We run on it ourselves

Sinthropy's own knowledge and processes live in an AI-ready structure that any assistant can work from.

The measured process

One arc, five steps, the same on every engagement. Complexity goes in; evidence comes out.

  1. 01

    Discovery

    Context, analytics, tooling, team structure, and the real pain points.

  2. 02

    Report

    Challenges, opportunities, and priorities, written down and backed by data.

  3. 03

    Roadmap

    An agreed action plan with dates and deliverables before execution begins.

  4. 04

    Execution

    Senior delivery against the roadmap, at consulting pace with product care.

  5. 05

    Follow-up

    Post-delivery measurement to confirm the KPIs actually moved.

Baseline measured before we start. KPIs verified after it ships.

Step 1 of 5Next: where this process has already worked

Where this process has already worked

Selected engagements, kept anonymous by design. References available in conversation.

13+

years shipping software

10

long-term engagements

2013–

present, startup to enterprise

  • A global sportswear brandE-commerce features on a native iOS app used by millions of customers worldwide: core framework updates, new product experiences, and performance at very different traffic scales.
  • A European fashion groupArchitecture and feature development for a super-app platform: better design patterns, automation tooling, and testing standards for reliability at platform scale.
  • A US benefits and mileage platformArchitectural improvements and feature delivery, plus process changes: design-pattern adoption, higher code-quality standards, and agile workflows that made delivery measurably more predictable.
  • A Brazilian investment platformCritical financial flows rebuilt and new features designed with data teams against key user-acquisition bottlenecks.
  • And moreHealthcare platforms, product studios, and agencies: technical strategy, mentoring, and delivery across widely varying requirements.

Our own apps are proof too. See the studio

Bring us the tangled version.

A first conversation costs nothing and usually produces the first useful map.

Start a conversation