Digital engineering · Santiago, Chile

Engineering that works.

We are a boutique consultancy specialising in data analysis, computer vision and software engineering. We lead the technical work from diagnosis through development and the evolution of the solution.

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0115+ yearsBuilding software, data and applied AI since 2010.
02ANID and Corfo projectsWe have contributed engineering and modelling to co-funded R&D+i projects.
03In productionSystems running in real environments, not just prototypes.

T2G capabilities

Three disciplines. A shared way of working.

We step in where business ambition needs technical judgement: from understanding the opportunity to operating the solution.

01

Applied AI and computer vision

We turn a repetitive visual task into a system that classifies, inspects or detects consistently, integrated into your operation.

From pilot to operation
02

Data analysis and modelling

We turn scattered data into answers: what is happening, why and where to act, with traceability behind every decision.

From data to decision
03

Applied software engineering

We build, organise and fix software so your operation keeps moving and the system can evolve with the business.

From idea to stable system

From signals to decisions

Data becomes useful when it shows where to act.

We read patterns and relationships in context, turning questions into hypotheses and guiding what to investigate next.

How we work

Technical rigour, direct conversation and visible progress.

We work with your team to understand the context, explain decisions and move forward in verifiable stages.

  1. 01

    Understand

    We align on the problem, operating context and signal of success.

  2. 02

    Design

    We turn ambiguity into scope, a technical approach and a path forward.

  3. 03

    Build

    We deliver in stages and use what we learn to decide the next step.

Where we step in

Problems worth solving at the root.

Four common situations worth addressing before they get more expensive.

The pilot worked, but nobody uses it

A model or prototype that performs in testing but isn’t integrated into daily operations.

We take it to production

Everything depends on one person’s judgement

Classification, controls or records done by hand or in spreadsheets, hard to repeat and audit.

We make it consistent and traceable

The data is there, but can’t be used

Information spread across systems that don’t talk to each other, with no history to audit or anticipate.

We organise the architecture

You can’t tell if the investment is worth it

You want to modernise, but need to know what is viable before committing months of work.

We limit risk from the design stage

R&D+i projects

If your challenge is research and development, we also design its technical foundation (architecture, state of the art and methodology) and help you present it for incentives and funds such as ANID, Corfo or the R&D Law. Eligibility is set by each agency.

Selected projects

Applied work across different contexts.

We share the type of work and the organisation. More context and detail can be discussed in meetings.

03/ 04

Plumppr · Argentina · 2026

Data analysis and web security

Data analysis alongside a security review of the client's website.

04/ 04

redia.pro · 2026

Data analysis and architecture

Analysis of the available data plus related architecture work.

Expanded scope and project details are discussed in conversation.

Let’s talk

How we collaborate

Engineering experience, focused work.

We use AI to explore alternatives and accelerate development. We validate decisions and deliverables with our engineering experience, focusing effort where it adds value.

  • Direct conversation and clear technical decisions
  • Clear scope and explained decisions
  • Staged delivery and joint review
  • Knowledge transfer to the client team

When a project needs additional expertise, we bring in specialist and research associates to meet that need. We retain technical leadership, review the work and maintain our relationship with you.

T2G guides · Clear concepts

Understanding is progress.

Before choosing technology, it helps to understand the question. These guides connect ideas with real decisions in your business.Browse all guides ↗

01

Understand AI

What a model learns and which information it needs.

02

Data and processes

Connect sources and choose what to automate.

03

Build and evolve

Design software and prepare gradual changes.

04

Evaluate and apply AI

From an experiment to work in real conditions.

From concept to your businessML ideas for accounting, legal and finance teams

The next step

Let’s talk about what you need to solve.

Tell us about the context and constraints. We will work out whether there is a good place to start.

Let’s talk Message us on WhatsApp
  • Initial technical assessment at no cost
  • A short call to assess your technical challenge
  • Staged proposal and scope, in writing