TheDiscoveryAI

Technology: tailor-made enterprise AI

Tailor-made enterprise AI models, connected securely to your ERP and internal systems

DiscoveryAI builds AI models only for your company, trained on your own data and connected to your ERP, WMS, CRM and other internal systems in a secured environment. The models analyze continuously and put forecasts, risk scores and alerts in front of your experts. No hardware to buy, no data-science team to hire: a managed monthly service.

Your data, your model

Connect → Train → Validate → Run constantly → Retrain

Built only for your business, on your full history, in a secured environment, and kept up to date on your cadence.

Where general AI assistants stop

Your data is too big for a chat. Years of sales, transactions, stock and customer records, gigabytes to terabytes, don't fit in a conversation window or on a desktop AI computer.

Your decisions repeat every day. Demand, credit, churn, pricing and variances need a model that runs on schedule and alerts people, not a one-off answer.

Your data must stay protected. Private deployment, in your environment or chosen geography, with the model trained only for you and never reused for others.

How it works

  1. Agree on the decision: the question worth modelling and the data that feeds it, from the ERP, WMS, CRM, data warehouse or point of sale.
  2. Connect and prepare the data: live links to your systems; data readiness is often the longest step, and we do it with your team.
  3. Build and validate the models: forecasting, scoring, recommendation and anomaly models, tested against your own KPIs.
  4. Run constantly: scheduled monitoring and alerts on variances, with a person approving what matters.
  5. Retrain: models kept up to date as your business changes, as a managed monthly service.

What your company gets

Forecasts, risk scores and variance alerts built on your own data and delivered to the people who decide; better stock, credit, pricing and retention decisions; no hardware and no data-science team to hire.

What you get as a partner

An enterprise custom AI line for the clients you already advise, from the AI roadmap to models running every month, with our method and DiscoveryAI's data scientists behind you.

Where it fits

Decisions that improve with a model of their own

Demand and inventory forecasting · credit, non-performing loan and fraud scoring · churn and next best offer · variance monitoring on ERP and WMS data · dynamic pricing · predictive maintenance · AI agents for document-heavy processes such as invoices into the ERP.

How we use it

  • Method first: use cases scored by value and feasibility, so the first model is the one that pays.
  • Custom models where they are needed: for your own data at scale, running continuously; desk work stays with general AI assistants.
  • On its own, and coming soon in the AI Office: DiscoveryAI works as a standalone service. Coming soon, its models will also sit behind our AI Office, so the people who act on the results can work with them directly.

DiscoveryAI in the real world

What a model of your own looks like

Cases and figures reported by DiscoveryAI.

Retail: Brazil

Be Honest: 250 self-service minimarkets

Demand forecasts for the top 100 products in each minimarket, from 22 months of sales and stock data, tested at 85% to 95% accuracy.

Financial services: Sri Lanka

Commercial Credit and Finance PLC

Prediction of non-performing loans and customer segments on the products that make up about 80% of the business: 86% accuracy in the pilot, 95% after three months in operation, used to refocus collections.

Banking: Bangladesh

United Commercial Bank

AI analysis of workforce, structure and KPIs to design a future-ready organization; implementation under way, with around 20% efficiency gains expected.

Pairs well with

One interface, the right model behind it

The e-CGS AI Office

AI staff your people work with every day, through Clairvoyance AI, with many models behind one interface and people in the loop. See the AI Office

Measure the process first

Process mining shows where time and money are lost before you model anything. See mindzie

Which decision in your company deserves a model of its own?

Let's talk. A 45-minute conversation to find the first model that pays, and the data it needs.