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[ AIXA AI / 00 ]ML · Data · Agents · Digital Twins · Blockchain · Remote Sensing

Appliedintelligence

Production-grade machine learning with full MLOps, data engineering, AI agents with multi-model orchestration, 3D digital twins and satellite remote sensing.

Our own tech, in production

Technical capabilities

[ 02 ]Tech stack

Technical capabilities

Six technical capabilities we combine depending on the problem.

01

Machine Learning

Neural networks, Random Forest, XGBoost, LSTM and Transformers in production with full MLOps. Forecasting, anomaly detection, quantitative risk analysis and automatic retraining when the data shifts.

Neural nets • XGBoost • LSTM • MLOpsSee detail
02

Data Engineering

Production-grade data lakes with automated multi-source ingestion: APIs, databases, IoT, satellite imagery. Pipelines with monitoring, failure recovery and full lineage.

Data Lakes • ETL/ELT • Time seriesSee detail
03

AI Agents & Automation

Agents that orchestrate multiple models, call tools, verify data and chain multi-step reasoning. RAG over your data, fallback chains across models and on-premise or European cloud deployment.

Multi-agent • Tool calling • RAG • On-premSee detail
04

Systems & Digital Twins

End-to-end platforms with navigable 3D digital twins, real-time IoT and cloud-native architectures. From sensor to dashboard, integrated and running on its own.

Digital Twins • IoT • Cloud-nativeSee detail
05

Remote Sensing

ESA/Copernicus satellite data as input for ML models: spectral indices, territorial analysis and monitoring of distributed assets. Satellite signal, processed and plugged into your pipelines.

ESA • Copernicus • Sentinel-2See detail
06

Blockchain & Traceability

Immutable, verifiable record of every step in your value chain. Product traceability, third-party auditable certifications, smart contracts and integration with existing systems.

Traceability • Smart contracts • ImmutableSee detail
Core tech stackTechnologies we use to build robust solutions
Full MLOpsProduction-grade data lakesMulti-model AI agents (on-prem or European cloud)Quantitative risk analysis3D digital twinsESA/Copernicus satellite dataBlockchain and smart contractsMulti-source 24/7 pipelinesRAG and verification against source dataReal-time IoTCloud-native architectureOffline-first PWALatency-bound inference

AIXA methodology

[ 03 ]Methodology AIXA

Cómo trabajamos

Four phases that let us understand, design, ship and optimise.

01 / 04
Assessment1-2 weeks

We map your business

In-depth analysis of processes and opportunities specific to your situation.

02 / 04
Intelligence2-3 weeks

We design the solution

Tailored architecture that fits your current infrastructure.

03 / 04
eXecution4-8 weeks

We ship with results

Phased delivery with continuous testing and result validation.

04 / 04
AmplificationOngoing

We scale continuously

Continuous optimisation and expansion driven by real data.

Next steps

[ 04 ]Next steps

Let’s talk about the opportunities in your organisation

A 30-minute conversation to map where the real improvement opportunities are in your organisation.

Reply within 24hNo commitmentSpecialist team