Paisaje mediterráneo con un olivo

From strategyto implementation.

Tahona is the technology partner for designing, building and integrating custom software and AI solutions.

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What we do

We build systems the team uses every day.

Digital products, custom software and AI solutions for real operations. What we build shows up in the team's daily work.

We define the outcome before starting. We connect the data and tools already in the company. We add human review and traceability where the process requires it.

  1. 01Products and platforms integrated into the business.
  2. 02AI applied to real processes.
  3. 03Documents and knowledge organized and searchable.
  4. 04Every decision and change traceable.
Services

Three capabilities. One technology partner.

Artificial intelligence, product and software, strategy and architecture. They combine around the challenge and expected outcome, from definition through production and evolution.

01

Artificial intelligence

We design and implement AI solutions on the real context of the business, with evaluation and supervision.

  1. 01AI solutions and products
  2. 02Agents and automation
  3. 03Knowledge and team productivity

02

Product and software

We design and develop digital products and custom software, from definition through production.

  1. 01Digital products
  2. 02Custom software
  3. 03Integrations and platforms

03

Strategy and architecture

We define what to build, why it matters and how to turn it into a viable, integrated solution prepared to evolve.

  1. 01Discovery and definition
  2. 02Product and technology strategy
  3. 03Architecture and roadmap

Length of software tasks completed with a 50% success rate

Swipe to explore the chart →

Length of software tasks completed with a 50% success ratePublic p50 estimates and confidence intervals for a selection of state-of-the-art models, ordered by release date.030m1h4h8h12h16h2020202120222023202420252026Model release dateHuman task durationMeasurements above 16 hours are unreliable with the current task suiteGPT-2GPT-3GPT-3.5GPT-4o3GPT-5GPT-5.2Opus 4.6Mythos preview
METR Time Horizon 1.1 p50 estimates and confidence intervals for a selection of models. This chart does not measure the automation of a business process. Source and methodology
Applied AI

Six months ago this was expensive or impossible. Today it is viable.

Model capability keeps growing and prices keep falling. What was expensive or unthinkable six months ago is now viable for a small company. The value moves from the model to the context and the craft around it.

  1. 01

    Connect the context

    Company information, organized and with permissions. It differs from company to company, and it is what makes a model useful.

  2. 02

    Work with craft

    Bounded systems, human review and traceability. The well-built piece around the model is what gets delivered.

  3. 03

    Measure and improve

    Outcomes evaluated with data and evolution in production. The system does not end on launch day.

Industries

Technology capabilities adapted to each sector.

Processes, users, data and constraints change. We keep the same end-to-end journey and focus each solution on the outcome that matters in its context.

Primary sectors
01

Legal

Documents and matters governed by access rules, human validation and traceability across versions, decisions and tasks.

MattersDocumentsValidationTraceability
02

Logistics

Constraint-based planning, routes, operational data and integrations between the tools that coordinate service delivery.

PlanningConstraintsRoutesIntegrations
03

Industry

Quality controls, lots and records, documentation and traceability within bounded operational workflows.

QualityLots and recordsDocumentationTraceability
Cases

Products and systems built around real challenges.

These anonymized cases show the problem addressed, what was built and how the solution integrates and evolves in its context.

How we work

A partner from definition through evolution.

We work end to end across strategy, product, architecture, development, integration and continuous improvement. Discovery establishes the starting point; the goal is to build and move the solution forward.

01

Context and goal

We understand the business, users, processes, data and expected outcome.

02

Strategy and definition

We define the opportunity, scope, priorities and roadmap.

03

Product and architecture

We design the experience, system, data and integrations.

04

Build and integration

We develop software and AI capabilities in short cycles with continuous validation.

05

Launch, operations and evolution

We integrate, measure and keep improving the system. When the scope and collaboration model require it, we also take on the agreed operation and exception handling.

Contact

Let's discuss the challenge, process or product.

There is no need to arrive with a defined technical solution. A first conversation helps clarify the goal, the starting point and the most useful next step.

Contact

We review the context, goal and constraints. If there is a clear path forward, we propose the best starting point.

Clear, direct response
First opportunity made clear
No commitment or sales pressure

Starting point

The basics are enough. We reply with an initial assessment and the most useful next step.

No sales pressure: if the fit is not clear, we will say so clearly.