Artificial Intelligence - Neural Coders
Neural Coders — Artificial Intelligence
Artificial Intelligence

The AI that works inside your organization

We develop artificial intelligence solutions that integrate into your processes, learn from your data and generate measurable value from day one.

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LLMs LLMs & Agentes Agents Machine Learning Computer Vision Process Mining AI On-Premise
Neural Coders — IA Capabilities
Capabilities

What we build with AI

Artificial intelligence solutions that adapt to the operational reality of each organization — from predictive models to autonomous agents deployed on their own servers.

LLMs LLMs & Agentes de IA AI Agents

Custom language models, RAG systems with the organization's own knowledge and autonomous agents that execute complex tasks without human intervention.

RAG Fine-tuning AI Agents OpenAI / Llama
Machine Learning Machine Learning & Predicción Prediction

Predictive models for demand, failures, pricing and behavior. From simple regressions to deep learning architectures tailored to your historical data.

Forecasting Clasificación Deep Learning Scikit-learn
Computer Vision

Real-time image and video analysis: object detection, quality defects, facial recognition, document reading (OCR) and visual monitoring of industrial processes.

Object Detection OCR YOLOv8 OpenCV
Process Mining

Discover how your processes really operate using your system logs. Identify bottlenecks, deviations and optimization opportunities with AI on real data.

Process Discovery Conformance FlowMiner Event Logs
On-Premise IA On-Premise & Privada Private AI

We deploy AI models directly on the client's infrastructure — without sending data to third parties. Ideal for organizations with privacy, regulatory or data sovereignty requirements.

Full privacy Edge AI Own hardware Llama / Mistral
Intelligent Automation

We combine AI with process automation to eliminate repetitive tasks, reduce errors and free up human capacity for what truly matters. RPA powered with intelligence.

RPA + IA Workflows NLP Integrations
Neural Coders — IA en acción
Applied AI

Let's design the AI implementation that will transform your operations

Every organization has a different entry point. We identify yours, build on your real data and deliver measurable results — not prototypes.

Neural Coders — Sense
Our AI

Sense — generative AI built on your organization's own knowledge

Sense is our private generative AI. It deploys directly on the client's infrastructure or is consumed through Dataizen — always with your data, never exposed to third parties.

100% private On-premise or cloud Integrated with Dataizen Multimodal and conversational
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Sense
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Which data sources are most important for finance?
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Key Financial Data Sources Sense · Analysis
Data Source Type Value
Financial ERPTransactionsFinancial control
CRMRevenue / customerCustomer analysis
Billing systemsSales recordsRevenue monitoring
Banking dataCash flowLiquidity analysis
BudgetsPlanning dataForecasting
Financial statementsAccounting metricsExecutive reporting
Sales dataCommercial performanceBusiness growth
Economic indicatorsMarket trendsStrategic decisions
Neural Coders — AI Evolution Plan
Strategic service

AI Evolution Plan

A program designed to take your organization from its current state to a real, scalable and profitable adoption of artificial intelligence — in four concrete stages.

Stage 01 · Diagnóstico

Maturity assessment en datos e inteligencia artificial

We analyze your organization's current state in data use and AI adoption. We evaluate processes, systems, culture and capabilities to establish an honest baseline — and define where to build from.

Inventory and evaluation of existing data sources within the organization
Identification of missing, low-quality or high-relevance uncaptured data
Definition of minimum data requirements for AI models and strategic dashboards
Delivery of a prioritized roadmap with high-impact AI use cases
Deliverables
Maturity report
Complete diagnosis of the current state in data and AI
Data roadmap
Prioritization of critical sources and immediate actions
Prioritized use cases
AI opportunities ranked by impact and feasibility
Executive alignment session
Presentation of findings and next steps
Stage 02 · Datos

Data quality improvement and integration of new sources

With the roadmap in place, we work to ensure the organization has the right data — not just what already exists, but what it should be capturing. We enable new sources, improve existing quality and integrate technologies that expand the raw material available for AI.

Cleaning, normalization and quality improvement of existing data
Design and implementation of new key data collection points
Integration of relevant external technologies and data sources for the industry
Validation that data is sufficient and of adequate quality to start AI models
Deliverables
Structured data pipeline
Clean and automated flow from critical sources
Active new capture points
Sensors, integrations or connectors deployed
Data readiness certification
Formal quality and sufficiency validation for models
Data quality dashboard
Continuous monitoring of critical data source status
Stage 03 · Implementación

First AI project orientado al ROI y al impacto operativo

We execute the first artificial intelligence project alongside the organization. The objective is twofold: generate measurable ROI and transform the internal culture toward the everyday use of data and AI as decision-making tools.

Design, development and deployment of the first AI model in production
Working hand-in-hand with operational teams to ensure real adoption
Awareness workshops on the strategic value of data and AI
Tracking operational impact metrics and return from day one
Deliverables
AI solution in production
Functional model integrated into business processes
Impact and ROI dashboard
Visualization of return generated by the project
Data culture program
Workshops and materials for internal teams
Results report
Documentation of project impact and learnings
Stage 04 · Validación

Second project: validating that the organization is ready to scale

The second project confirms that the organization has internalized data as raw material and is prepared to operate with AI consistently and autonomously. It is the close of the AI Evolution Plan and the starting point for real scale.

Second AI use case implemented in a different area of the organization
Maturity assessment post-programa frente a la línea base inicial
Consolidation of the data ecosystem to sustain multiple future projects
Definition of the AI roadmap for the next growth phases
Deliverables
Second AI model
Solution in a second critical business process
Maturity validation
Confirmation that the org. is ready to scale in AI
Consolidated data ecosystem
Infrastructure ready to sustain multiple projects
Scale roadmap
Strategic plan for sustained AI adoption
Neural Coders — CTA
Let's talk

Ready to implement AI in your organization?

Tell us about your use case. We'll schedule a first-contact session at no cost or commitment to explore how artificial intelligence can transform your operations.