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Applied AI & data

AI that makes decisions, not AI that just looks good.

We bring artificial intelligence to your operation: OCR, computer vision, voice and analytics that turn your data into decisions. With real experience, not slides.

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✓AI applied to real business cases✓OCR, computer vision and voice✓Analytics that turn data into decisions✓Proven experience across the group

From data to decisionOCR · Vision · Voice · Analytics

Applied AI uses artificial intelligence to solve specific business problems (reading documents, detecting patterns, automating decisions) on quality data. It's built for companies that want to move from experiment to return, starting with the right problem.

What it is

What is applied AI?

Definition

Applied AI is the use of artificial intelligence to solve specific business problems (reading documents, detecting patterns, automating decisions), rather than AI as an experiment with no return. The focus is on the use case, not the technology.

AI is on everyone's lips, but most projects stall at a flashy proof of concept that never reaches production or moves a single number in the business. The difference between the noise and the result is starting with the right problem and quality data, not with the trend of the moment or the most talked-about tool.

At Ecofin, we don't know AI by hearsay: it's already inside our products. Captodocs reads documents with OCR and AI, Nalloo turns browsing data into opportunities, and Neurafy works with computer vision and voice. That experience is what we put to work on your case, feet on the ground and eyes on the return.

How we work

From the idea to AI in production.

No fluff: we start with the use case, not the technology.

Identify the use case

We look for the problem where AI delivers a real return and is feasible with your data.

Prepare the data

We gather, clean and structure the information needed. Without good data there's no good AI.

Build and integrate

We develop or adapt the model and integrate it into your operation, not into an isolated lab.

Measure and improve

We measure the impact and refine. AI that isn't measured or improved isn't worth the investment.

What we do

Intelligence where it pays off most.

AI and data capabilities we apply to specific problems.

OCR / IDP

Documents into data

OCR and AI that turn invoices and delivery notes into structured data, ready for your ERP without typing.

Computer vision

See what the eye can't

AI reviews images and thousands of items in seconds to detect, classify and measure.

Voice and assistants

Automated support

Virtual assistants and a voice of your own to serve your users without waiting.

B2B data

Data that sells

We identify the real companies behind your website's anonymous traffic and turn them into opportunities.

Analytics & BI

Decisions with data

Dashboards and models that put your data to work so you decide better.

Data generation

Process at scale

Generating, processing and storing large volumes of data efficiently, with Neurafy.

Glossary

Key terms

Applied AI: The use of artificial intelligence to solve a specific business problem.
Machine learning: Models that learn patterns from data to predict or classify.
Computer vision: AI that interprets images to detect, classify or measure.
OCR / IDP: Intelligent document recognition and processing to extract their data.

Worth knowing

What's worth knowing before you start

How do I stop AI from staying stuck as a trial?

By starting with the right problem and quality data, not with the trend: we pick cases with a clear return and take them to production.

Do you have real AI experience?

Yes, it's already inside our products: Captodocs (OCR and AI), Nalloo (B2B data) and Neurafy (vision and voice). That experience is what we apply to your case.

Do my data need to be perfect to start?

Not perfect, but usable; part of the work is preparing the data and giving it quality so the model delivers reliable results.

FAQ

What you ask us most

What is applied AI?

The use of artificial intelligence to solve specific business problems (reading documents, detecting patterns, automating decisions), rather than AI as an experiment with no return.

Does my company have enough data?

Almost always, yes. The key isn't having lots of data, but the right use case and quality data. We start from a well-defined problem.

What use cases can you take on?

OCR and document interpretation, computer vision, voice and assistants, pattern detection and data analytics, among others.

Do you have real experience with AI?

Yes. AI is already inside our products: Captodocs, Nalloo and Neurafy. It's not theory, it's what we do every day.

How do we start?

With a conversation to identify the use case with the highest return that's feasible with your data. From there, we map out the path.

Put your data to work with AI that actually ships.

Tell us your challenge and we'll explore together where artificial intelligence gives you the most return.

Put your data to work with AI that actually ships.

Tell us your challenge and we'll explore together where artificial intelligence gives you the most return.

Explore your use case See services