AI solutions

By industry

Explore how to apply AI in your business

Media

Faster, with your style and editorial criteria.

We’ve worked with public and private media outlets to integrate AI into their publishing workflows: automatic generation from agency stories, virality prediction, and direct upload to CMS.

Our solutions increase editorial agility without losing control or your own style. We also apply AI to improve subscriber conversion and retention by optimizing what is published, where, and when.

  • Editorial automation integrated with Generative + Predictive AI
    Continuous news capture and classification from agencies, drafting your editorial pitch using RAG, and predicting your performance before publishing.
    All integrated directly into your CMS without disrupting your usual editorial workflow.
  • Predicting virality and content performance
    Models trained with historical data to estimate potential reach and prioritize what to publish and when.
  • Optimizing subscription strategies
    Predictive models that analyze reader behavior to improve subscriber conversion and retention.
  • 60% less time from agency note to editable draft

  • Greater early visibility into viral potential by channel and time slot

  • Increased editorial efficiency without giving up editorial control

  • Improved subscriber conversion and retention through data-driven decisions

Logistics

Operational agility without bottlenecks

We have developed AI solutions to automate repetitive tasks, anticipate incidents, and improve traceability in real-world logistics environments.

From mail sorting to automated report generation, our systems are already running in real-world operations, connected to existing systems and seamless for teams.

  • Automatic classification of emails and tickets
    Model trained with real-world operational language to categorize and prioritize thousands of incidents per month. Improves visibility into incoming flow and reduces operational response times.
  • Prediction of incidents and critical points
    Time series and classification models that anticipate congestion and deviations, enabling proactive planning in complex logistics environments.
  • Automatic generation of logistics reports
    A combined generative AI and automation solution that extracts data from email, ERP, and forms to create periodic reports without manual intervention.
  • Internal support digital agents
    Trained assistants on internal regulations and historical data address common operational questions and help you make decisions more quickly.
  • 87% less response time to incidents
  • +10,000 emails/month automatically categorized
  • Operational traceability: you see what happens on a graph, not on a tray
  • Automatic identification of bottlenecks and automatable processes

Banking and Insurance

Decisions with traceability and models that meet your risk criteria.

We apply AI where there is a real financial impact: from risk analysis to automating recovery strategies or supporting investment decisions.

Explainable models, aligned with regulators and adapted to the sector’s operations.

  • Credit risk analysis adjusted to economic thresholds
    Models that avoid personal biases and focus decisions on real economic variables.
    It allows for ethical, auditable decisions aligned with the regulator.
  • Intelligent phasing of debt collection
    Collection strategies generated and executed by AI, segmented by economic profile and recovery probability.
    Reduces operational costs of recovery and improves success rates.
  • Automatic analysis of economic information for stock market investment
    Classification and prioritization of investment opportunities based on historical patterns and market signals.
    Supports more informed decisions with less manual analysis burden.
  • Decisions aligned with the regulator: Explainable and auditable models that avoid personal bias.

  • Higher recovery rate: models that define recovery strategies based on the probability of success.

  • Direct integration with your existing systems: Scoring, CRM, and platforms, frictionless.

  • Total security: Deploy in on-premise environments when confidentiality is critical.

Real Estate

Accurate valuations. Controlled risk.

In the real estate sector, every decision has a significant economic impact.
Our predictive and probabilistic models allow you to estimate prices even in data-poor markets, evaluate promotions based on expected profitability, and generate automatic reports from structured sources and documents.

All with one key advantage: knowing not only the estimated value, but also the risk assumed.

  • Price estimate without comparables
    Calculation of rental prices in areas with no historical data, using models that provide margins and official indices adjusted to the territorial context.
    Awarded by the Chamber of Commerce.
  • Automatic valuation reports
    Creation of reports based on structured data (Excel, APIs) and attached PDFs. 100% traceable and ready for review.
  • Automatic promotion scoring
    Valuation based on location, type, profitability, and risk, with scalability for large portfolios.
  • Calculation of investment indices
    Generation of aggregated indicators by area, asset type, or size, with projections tailored to each case.
  • Projections with adjusted risk and profitability intervals

  • Automatic, traceable reports consistent with your investment model

  • Less human bias in valuation and greater comparability between assets

  • Direct integration with your systems or analysis environments

Education

Better experience for the student. Less burden for the institution.

At Bekodo, we apply AI to personalize learning, automate educational content, and streamline academic management.

From grade prediction to automated material generation or administrative assistants, our solutions are already in use at universities like UNED and on digital educational platforms.

  • Prediction of academic performance
    Supervised models that predict grades and recommend tailored pathways based on student progress.
  • Automated generation of training content
    Creation of syllabi, tests, or explanations using prompts and controlled generative models.
  • Administrative Assistants for Students and Staff
    RAG systems that answer frequently asked questions about enrollment, scholarships, calendars, and regulations, with secure and private deployment.
  • Participation and dropout risk analysis
    Proactive identification of at-risk students through analysis of digital interaction and behavioral patterns.
  • Better allocation of resources and tutors based on performance prediction
  • Training content automatically adapted to the student’s level
  • Significant reduction in administrative burden through automation
  • Early detection of dropout due to lack of participation
  • Greater student retention through proactive monitoring

Public Administration

AI with control, traceability and security

At Bekodo, we implement artificial intelligence solutions that meet the strictest confidentiality, regulatory compliance, and data governance requirements.

Our projects include generating regulatory responses with RAG, automating administrative tasks, and using predictive models to estimate public prices.

All of this deployed on-premise, with complete traceability and security.

  • RAG-based administrative assistants
    Generative models with semantic retrieval, trained on standards and deployed on-premise. Already in use at public universities such as UNED.
  • Public price prediction
    Estimation of rental prices or energy rates, even in areas with no historical data, using probabilistic models on multi-source data.
  • Intelligent OCR for official documentation
    Extract data from complex forms or degraded scans, with high accuracy and tolerance to visual noise.
  • Analysis of visual biases in institutional content
    Computer vision to evaluate gender or ethnic representation in official images, with an academic focus and UPF validation.
  • Saving operational workload in repetitive information and care.

  • Automation in environments with high regulatory demands.

  • Visibility into data and processes to facilitate public policy decisions.

  • Maximum privacy control, with on-premise deployment and full traceability.