Reduce the gap between raw data and business decisions
When data and ML maturity fail to keep pace with AI ambitions, initiatives get stuck between proof of concept and production, while the cost of maintaining each model grows with every new use case.
Machine learning models stuck in the experimentation phase, failing to reach production
Lack of MLOps (Machine Learning Operations) infrastructure: manual or non-existent versioning, monitoring, and retraining
Reliance on third parties for basic GenAI/ML solutions
Isolated AI initiatives lacking technical standardization across teams
High cost and long lead times to deploy each new model to production
Difficulty measuring and demonstrating ROI for "traditional" AI initiatives
Straightforward engineering, powered by Forge AI’s layered framework
AI Engines provides senior technical expertise for organizations that already know what they need to build, eliminating the need for a formal discovery phase and leveraging TwinForge’s layered framework as the technical foundation.
AI FDEs (Forward Deployed Engineers) embedded directly within the client's team
Custom machine learning models (predictive, classification, NLP, computer vision)
LLM/ML-based solutions applied to specific use cases
Information extraction and text summarization from documents and unstructured data
MLOps pipeline implementation, including model CI/CD, versioning,
monitoring, and retraining
Integration with the client's existing data stack
Powered by Forge AI
A layered framework that enhances market models through usage patterns (AI Harness), boosting the quality and delivery speed of Gen AI/ML solutions without requiring a stack migration or turning the project into a separate agent platform.
From proof of concept to production, with the right team
AI Engines connects senior ML and LLM specialists directly to the client's operations, turning internally defined scopes into solutions delivered with speed and efficiency, without intermediate discovery phases.
Reduced time from model training to production
Standardized Machine Learning Operations practices across initiatives
Greater reliability and continuous monitoring of production models
Lower maintenance costs for AI/ML solutions
On-demand access to technical expertise
A foundation ready to evolve from point solutions to a platform, when appropriate
Energy, Oil & Utilities
AI-driven predictive maintenance, asset performance optimization, and automation of operational document analysis for critical infrastructure environments.
Retail & Consumer Goods
AI-powered demand forecasting, product recommendation, customer service automation, and intelligent processing of commercial and supply chain documents.
Telco & Media
AI solutions for customer retention, large-scale service automation, and intelligent analysis of customer interactions across digital channels.
Financial Services
AI for credit risk assessment, fraud detection, document intelligence, and regulatory process automation with built-in traceability and governance.
Ready to meet you where you are and move you forward.
GLOBAL FOOTPRINT. BORDERLESS PRESENCE.
NORTH AMERICA
Headquarters
26 O'Farrell, Suite 600
San Francisco, California, USA
SOUTH AMERICA
Business Office
Alexandre Dumas St., 1711
São Paulo, Brazil