A surprising amount of business still runs on documents: invoices, purchase orders, KYC forms, contracts, claims, delivery notes. We build pipelines that read them, extract the fields you need, validate them against your rules and post the result into your ERP or database, with exceptions routed to a person.
Once your data is structured, it becomes predictable. We add forecasting, risk scoring and anomaly detection on top, and surface the results in dashboards your team will actually use.
Which documents can you process?
Invoices and receipts, purchase orders, bank statements, KYC and onboarding forms, insurance claims, delivery notes, contracts and medical or lab reports. We use pre-built models where they are accurate enough and train custom extractors for your specific layouts where they are not.
What happens to low-confidence extractions?
They go to a review screen where a person sees the original document side by side with the extracted fields and corrects them in seconds. Corrections are recorded and used to improve accuracy over time.
Predictive analytics on your existing data
We build forecasting, churn prediction, risk scoring and anomaly detection using ML.NET, Azure Machine Learning or Python, running against your existing SQL Server or PostgreSQL data. Models are versioned, monitored for drift and retrained on a schedule.
- Demand and inventory forecasting
- Customer churn and lifetime-value prediction
- Fraud and anomaly detection
- Lead and credit risk scoring
- Power BI or custom dashboards