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Custom AI, trained on your company's data and delivered as a service

Your people already use AI assistants on their desktops. TheDiscoveryAI goes where they can't: models trained only on your company's data, connected to your ERP and your systems, analyzing constantly for your specialists. No hardware to buy and no data science team to hire.

ERP, inventory, CRM and sales data feed a custom model that delivers forecasts, credit risk, clients about to leave and alerts

A managed service, not just another tool

What sets it apart from an AI assistant

Your data, your model

A model built and trained only for your company, with all its history, and retrained at the pace of your business.

Connected and constant

Linked to your ERP, inventory and CRM, with scheduled monitoring and alerts when something deviates.

Protected environment

Private deployment: data stays in your environment or in the geography you choose.

What it solves

Recurring decisions where your data predicts better than intuition

TheDiscoveryAI is not for email or for a small company's knowledge base. It is for organizations with years of transaction data and a recurring decision that is worth modeling.

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Demand and inventory

Forecasts by product and point of sale to buy, produce and supply better.

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Credit, delinquency and fraud

Risk models that help decide whom to lend to and how much, and detect transactions that break the pattern.

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Clients about to leave and next action

Segments and recommendations to retain, win back and sell better.

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Deviations in the ERP

Scheduled monitoring of ERP and warehouse data, with alerts for whoever needs to act.

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Predictive maintenance

Anticipating equipment failures from their operating history.

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Agents for document-based processes

Reading invoices and documents that feed the ERP, with a person who reviews.

Results

What TheDiscoveryAI reports from its projects

85–95%

accuracy in forecasting demand for the top 100 products per mini-market, for Be Honest, a chain of more than 250 mini-markets in Brazil (backtest).

86% → 95%

accuracy in predicting delinquency: 86% in the proof of concept and 95% after three months in operation, at Commercial Credit and Finance PLC (Sri Lanka).

~20%

expected efficiency improvement at United Commercial Bank (Bangladesh), from the analysis of its structure, staff and indicators; implementation under way.

+14%

in monthly revenue within six months, with segmentation and next best action, at a restaurant chain in the United States.

A lesson we apply

In a credit project in Brazil, getting the data ready took seven months, longer than building the model. That is why at EXYGE we start with the decision, the process and data quality, and support the change with your team.

Figures reported by TheDiscoveryAI in its published cases; EXYGE has not audited them.

How it fits with the rest

The assistant handles the desktop; the custom model handles the data

Most companies don't have to choose. AI assistants, such as those in EXYGE's AI office with Clairvoyance, support people's daily work. TheDiscoveryAI takes care of what those assistants weren't built to sustain: years of data, proprietary models and analysis that runs every day.

With Clairvoyance: TheDiscoveryAI delivers each custom model with its own REST API, so it connects to Clairvoyance's assistants and your people query the models and receive the alerts from there. It is also offered on its own.

See Clairvoyance →

As a service

No hardware to buy and no licenses

  • A setup fee and a monthly fee for the service.
  • TheDiscoveryAI builds, runs, measures and retrains the model.
  • Your specialists receive the analysis and decide.

What do we use it for at EXYGE?

The decisions it supports

Demand forecasting to buy, produce and supply better.

Credit and delinquency risk, to decide with data whom to lend to and how much.

Clients at risk of leaving, so you can act sooner.

Fraud and deviation detection in large volumes of transactions.

How do we implement it?

From data to a model in operation

01

We define the decision

What you want to predict, with what data, and how the result will be used.

02

We prepare the data

From your ERP and systems, securely and without the data being shared.

03

We train and validate

Custom models, tested against the reality of your business.

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We run it as a service

The model is maintained, measured and retrained as a managed service.

In which solutions?

Where does TheDiscoveryAI come in?

AI office

The model for bringing AI into daily work, with roles, rules, data and people in the loop.

See the solution →

Finance operations and shared services

Risk, collections and deviation models on ERP data, with a person who decides.

See the solution →

Commercial operations and CRM

Demand forecasting, clients about to leave and next best action for sales and marketing.

See the solution →

Which decision could you make better with your own data?

Let's talk for 30 minutes about where to start.