Klarna
Its AI assistant handled 2.3 million conversations in its first month, two thirds of all its customer service chats. Resolution time dropped from 11 minutes to under 2.
AI agents and software designed for your industry that take over the repetitive work, so your team can spend its time on what really adds value. We work in tandem with the companies that know their business best.
Quoting, planning, checking invoices, tracking expiry dates. Necessary work, but mechanical, and it eats up the time of the people who know the business best.
People should spend their time on what only they can do: deciding, selling, serving customers, creating. AI is the ally that takes care of the rest. And it should be within reach of any company, not just the largest ones.
Almost one in five people worldwide already uses generative AI tools, and the number of European companies using it has almost tripled in four years. But adoption is very uneven across countries and sectors.
Share of the working-age population using generative AI in June 2026, and how much it has grown in twelve months. The world's leaders, a few reference points and the countries where we operate.
| World rank | Country | Mid-2025 | June 2026 | Change (points) |
|---|---|---|---|---|
| 1 | United Arab Emirates | 59.4% | 73.3% | +13.9 |
| 2 | Singapore | 58.6% | 64.3% | +5.7 |
| 3 | Ireland | 41.7% | 49.9% | +8.2 |
| 4 | France | 40.9% | 49.6% | +8.7 |
| 5 | Norway | 45.3% | 49.4% | +4.1 |
| 6 | Spain | 39.7% | 45.1% | +5.4 |
| 12 | South Korea | 25.9% | 40.6% | +14.7 |
| 21 | United States | 26.3% | 33.0% | +6.7 |
| 23 | Germany | 26.5% | 32.3% | +5.8 |
| 32 | Costa Rica | 25.1% | 29.7% | +4.6 |
| 39 | Colombia | 20.4% | 25.9% | +5.5 |
| 46 | Panama | 20.3% | 24.2% | +3.9 |
| 47 | Chile | 19.6% | 24.0% | +4.4 |
| 55 | Mexico | 16.7% | 21.4% | +4.7 |
| 58 | Brazil | 15.6% | 20.2% | +4.6 |
| 97 | Venezuela | 8.3% | 11.3% | +3.0 |
| World average | 18.8% |
Every country is growing, but at very different speeds. In Latin America, around three in four people still don't use AI: the companies that adopt it first will have an advantage for years.
Companies with 10 or more employees in the European Union.
Share of companies using AI in the European Union, 2025. Highlighted: the more traditional sectors, where AI is still barely getting started.
Results measured in controlled studies with thousands of professionals.
The improvement depends on applying AI to the right tasks: in the Harvard study, used outside of them, errors went up. Knowing where and how to apply it is exactly what we do.
Its AI assistant handled 2.3 million conversations in its first month, two thirds of all its customer service chats. Resolution time dropped from 11 minutes to under 2.
95% of its employees use AI tools, and the Mercado Pago assistant resolves 87% of queries without needing a person.
Its route optimization system avoids about 160 million kilometers and close to 38 million liters of fuel a year.
Sources: Microsoft AI Diffusion Report, Q2 2026 and its open dataset; Eurostat, 2025 and Eurostat by sector; Harvard Business School and BCG; Brynjolfsson, Li and Raymond (NBER); Microsoft Research; Klarna; La Gaceta and BNamericas; INFORMS.
We build AI solutions for your industry, help you bring them into your company, and train your team to get the most out of them.
Agents that read, decide, act and keep you informed, connected to your systems, your email and WhatsApp. Vertical software built together with companies that know their industry inside out.
See what an agent does →From a single department to the whole organization: together we decide where AI adds the most value and we put it to work with your team.
See how to start →Hands-on training at your premises or online, designed for your industry and for your team's real tasks.
See the training →Each agent takes care of a complete everyday task and gives your team back the time for what matters.
Replies, quotes and schedules on WhatsApp at any hour, with your company's tone and rules.
Plans routes, shifts, classrooms or resources, and alerts you as soon as something drifts from the plan.
Calculates cuts, times and materials, and learns from what actually happens on the shop floor.
Prepares catalogs, offers and customer follow-ups without anyone having to remember.
Reads invoices and documents, and leaves payroll, contracts and reports ready for review.
Reviews photos to detect damage, defects or non-compliance before they cost money.
We analyze how your company works today, decide together where AI adds the most, and put it to work with your team, without leaving you on your own afterwards.
The fastest way to start and see results in weeks.
A cross-company plan for organizations with several areas that want to transform with AI.
If your team needs to learn how to work with AI, we design the training to fit: at your premises or online, adapted to your industry, your processes and your tools. Everyone works on their own cases and leaves with something they can use the next day.
At your company, with your data and your tools. Management, sales, administration, operations or HR: each team learns with the tasks of its daily work.
One day for the leadership team to understand what AI can do today and decide where to start.
Your team launches its first use case, guided by specialists.
Talks on applied AI for conferences, trade fairs and industry gatherings.
No jargon and no never-ending projects. This is what working with us looks like:
We listen to how your company works and identify, with your team, where the most time is lost and where the biggest return is.
We develop the agent or the software and integrate it with the systems you already use. Your team tries it from the start.
We train your people, measure results and fine-tune until AI is part of everyday work.
TandixLab was born between Europe and Latin America, from the union of people with very different backgrounds: running and operating companies, the energy industry, software engineering, data analysis and design. We know the problem from the inside, because we've lived it.
Working together, we discovered that the best solutions appear when someone who knows a problem in depth sits down, in tandem, with someone who knows how to build the technology to solve it. That first synergy gave birth to TandixLab, and today it's how we work with every company.
That's why we bring AI to SMEs and to the sectors that have been left out of the conversation, with practical solutions, built to measure and at a cost they can afford.
Each partner brings a different discipline. Together we cover the problem from end to end: understanding how an operation works, analyzing its data, designing the solution, building it and putting it to work.
If your company has a problem that others in your industry share, we build the solution with you and take it to market. You take part as a partner and earn with every company that joins.
We identify the process that costs you the most time or money.
We build the solution with you, in weeks.
Your team uses it daily and we test it with other companies.
We take it to your whole industry, with your network and our technology.
For companies that want the solution for themselves.
For experts with a network who want to bring it to their industry.
For partners and markets with high potential.
Present in Spain, Germany, Mexico, Colombia and Venezuela. Coming soon in Panama and Chile.
Every solution starts inside a company that lives the problem every day.
Quotes came in through WhatsApp and took up to a day to answer. Many were lost.
An agent that understands the request, checks stock and prices, and prepares the quote so a salesperson can approve it with one click.
Panel cuts were calculated by hand and material waste was eating into the margin.
A cutting optimizer that works out the best use of every panel and learns from real workshop times.
A last-mile delivery company operating as an Amazon partner spent three hours every morning planning for sixty drivers, and it all depended on one person.
An operations platform with an assistant that assigns routes, tracks incidents and prepares payroll.
It represented several brands, each with its own catalog. Preparing a quote meant searching through different catalogs and copying references and prices by hand.
A platform that unifies and digitizes the catalogs of all its brands, connected to its online store, to prepare quotes and send offers in a few steps.
Delivery notes, incidents and claims for every delivery were checked by hand at the end of the day. Closing the paperwork for a shipment could take two days, and errors surfaced late.
An agent that reads delivery notes and delivery photos, flags incidents on the spot and leaves the paperwork and invoicing for each shipment ready.
“We thought AI was for big companies. Six weeks later we had an agent quoting for us.”
“Nobody in the workshop argues about how to cut a panel anymore. The tool decides, and gets it right.”
“What I value most is that they didn't disappear after installing it. They stayed with us until the team could run it on their own.”
Tell us how your team works today. In a first conversation, no strings attached, we'll tell you where we see the most potential.