Use Cases
Explore how our systems have transformed real operations, improving efficiency, reducing costs and generating measurable value for our clients.
Ekonoke
At Ekonoke we address a key challenge in indoor agriculture: making precise decisions from scattered data. That's why we developed a Data and Artificial Intelligence platform that optimizes hydroponic hop cultivation and other crops, centralizing capture, analysis and agronomic operation.
Agronomic Digital Twin: The Core of Our Technology
The core of the platform is an agronomic Digital Twin: a dynamic digital replica that models crop behavior and its interaction with the environment. This model is updated in real-time with data captured by the IoT infrastructure installed in the greenhouse.
Sensors and Data
- Environmental sensors (temperature, HR, CO₂, VPD)
- Light sensors (PPFD, spectrum)
- Nutritional variables (pH, EC, mineral profiles, DO)
- Hydraulic and fertigation parameters
- Phenological data and growth metrics
- Real-time image capture
Model Capabilities
This data integrates with laboratory results, operational records and more than 5,000 scientific sources processed through LLMs, enabling the construction of a model capable of:
- Predict yield and quality (including alpha-acids in hops)
- Detect deviations and estimate their productive impact
- Propose prescriptive adjustments based on evidence
- Simulate different scenarios and strategies before implementing them
- Identify correlations and optimization opportunities not evident to the human eye
This approach provides a decisive competitive advantage: it allows operating the crop with greater control, less variability and data-backed decisions, achieving a level of precision, traceability and anticipation that far exceeds traditional systems.
Traderwon
Traderwon is an advanced application for discretionary and systematic traders seeking to build robust data-based strategies. Its architecture integrates historical analysis, market condition exploration, system testing and real-time monitoring.
Structured Trade Analysis
The Trade Journal module allows importing trade history from multiple sources, organizing them and studying the exact conditions present at the time of each execution. This facilitates identifying which patterns accompany the most effective trades.
System Creation and Validation
The platform allows building rule-based systems combining indicators, patterns and market conditions.
The Monte Carlo Simulation module allows evaluating how a strategy would behave under variable volatility scenarios and random noise, estimating system resilience beyond historical backtest and reducing overfitting risk.
Real-time Alerts
Traderwon monitors the market and sends notifications when a system's conditions are met in real-time. This allows taking advantage of opportunities without needing to be in front of the screen.
Bayesian Pattern Discovery Engine
Probabilistic model that detects condition sequences with statistical support, analyzes transitions between events through Bayesian inference and evaluates posterior returns and risk metrics.
This infrastructure converts the platform into an accessible quantitative research system for traders without needing advanced programming or statistics knowledge.
A Platform Designed for the Financial Industry
Traderwon responds to the needs of the financial sector, where statistical validation, operational discipline and the ability to quantify risk are central elements.
Mobius
Mobius is a modular ERP designed to manage, digitize and optimize all areas of an industrial operation from a single integrated system. Its architecture allows implementing modules in stages according to each plant's needs.
Planning and Production
Allows defining products, formulas, bill of materials and manufacturing processes. Manages production orders, assigns resources and guides operators through structured workflows.
Quality
Centralizes the creation of controls, checklists and procedures. Records inspections, analyzes deviations and manages non-conformities with CAPA flows.
Purchasing and MRP
Calculates material needs according to demand, inventory and orders in progress. Generates purchase requests and orders, manages suppliers and optimizes costs.
Sales and CRM
Manages customers, opportunities, quotes and prices. Allows consulting availability, in-transit stock and commercial conditions in real-time.
Warehouse and WMS
Digitizes reception, storage, picking and dispatch. Manages locations, batches, expiration dates and internal movements.
Operator Management
Manages production personnel assigned to machines and manufacturing steps. Records work times and monitors operational performance.
Alerts and Alarms
Monitors the operational status of machines, processes and critical resources through an intelligent alert system with severity classification.
System Administration
Manages users, roles, permissions, global parameters, approval flows and master data. Offers comprehensive dashboards and strategic reports.
An ERP Designed for Real Industry
Mobius replaces manual and fragmented processes with a unified platform that improves efficiency, traceability and decision-making. Its implementation at Kromberg demonstrated its ability to transform operations, reduce friction and increase operational control.
Mobius is the technological foundation to operate with precision, grow with order and professionalize every stage of the industrial process.
JEN
JEN is a platform designed to accelerate and optimize product development through integrated analysis of multiple data sources. It combines scientific research, market signals, consumption trends and global regulations.
Scientific Knowledge Extraction
The platform automatically collects and processes scientific papers. Uses NLP and LLMs to extract functional properties, action mechanisms and relevant evidence.
Social Media and Consumption Trend Analysis
JEN integrates data from Instagram, YouTube, Trustpilot, Amazon, Google Trends, among others, to identify what consumers seek, comment on and value.
E-commerce Integration
The platform analyzes leading products on platforms to identify frequent ingredients, differentiating characteristics and success drivers.
Automated Regulatory Mapping
JEN cross-references information from FDA, EMA, COSING, ANMAT and other entities to validate if an active ingredient is regulated and approved in specific markets.
Recommendation and Formulation Engine
Through RAG and generative models, the platform suggests potential formulations aligned with scientific data, market trends, costs and regulations.
AI-Guided Innovation
JEN doesn't just analyze information; it generates new possibilities. Models combine functional attributes, emerging trends and scientific evidence to propose completely new and creative product ideas.
A New Paradigm for Product Innovation
JEN converts thousands of documents, trends and market signals into actionable intelligence to create products that combine scientific evidence, consumer desirability, economic viability and regulatory approval.
A tool designed for companies seeking to innovate with speed, precision and strategic vision.
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