Applied Artificial Intelligence
AI, LLMs, Neural Networks, Computer Vision and NLP to transform business processes
Description
Our team designs and integrates machine learning models, deep neural networks, language models (LLMs) and computer vision systems, adapted to sectors such as finance, energy, health, logistics and manufacturing.
Use Cases
Conversational Assistants
Corporate conversational assistants on web, apps and channels such as WhatsApp Business API, with RAG (retrieval-augmented generation) to connect with internal databases, response traceability and regulatory compliance.
Document Automation
Advanced OCR, legal/accounting document classification, key data extraction, SRM/ERP integration.
Industrial Vision
Smart cameras for quality inspection, counting, anomaly detection and perimeter security.
Prediction and Analytics
Sales forecasting, energy consumption, inventory optimization, predictive maintenance on industrial machinery.
Specialized Language Models
Specialized language models for contract analysis, compliance, executive summaries and semantic search in corporate repositories.
Benefits
Cost Reduction
Hasta 40% de reducción en costos operativos gracias a automatización
Greater Accuracy
Improvement in accuracy of diagnostics and critical processes
Fast Decisions
Greater speed in decision-making with real-time analyzed data
24/7 Experience
Optimization of customer experience through 24/7 chatbots and assistants
Technologies
LLMs
- GPT, Claude, Gemini
- LLaMA, Mistral
Frameworks
- PyTorch, TensorFlow
- ONNX Runtime
Orchestration
- LangChain, LlamaIndex
- FastAPI
Vector DB
- PostgreSQL + pgvector
- FAISS, Milvus
Infrastructure
- AWS Sagemaker, GCP Vertex AI
- NVIDIA Jetson for edge computing
Security and Compliance
Encryption and Security
- TLS 1.3 encryption in transit and AES-256 at rest
- Argon2/BCrypt hash for credentials
- Guardrails against bias and hallucinations in LLMs
Compliance
- Audit and traceability of critical decisions
- GDPR, ISO 27001 compliance
- NIST AI Risk Framework
Process
Discovery
Data analysis, business objectives and risks
Prototype (PoC)
Reduced model with initial metrics
Controlled Pilot
Integration with internal systems, testing in real environment
Production
Deployment with MLOps and drift monitoring
Continuous Optimization
Retraining, accuracy improvements, cost reduction
KPIs
Model Accuracy
Minimum accuracy guaranteed in our AI models
Response Time
Significant reduction in customer service response times
Return on Investment
ROI measured in savings through automation and accurate predictions
Ready to implement AI in your company?
Contact us and discover how artificial intelligence can transform your business