Bilingual Time-Series Forecasting SaaS Platform

Viral is a fully deployed bilingual SaaS for time-series forecasting. Users can upload CSV, XLS or XLSX files or provide historical data directly. Before any credit is spent, Viral validates data quality and blocks the analysis when the data is insufficient. Valid data is processed into three forecast scenarios with 90% confidence intervals and MAPE calculated against held-out historical data.

The sale covers the complete Viral product layer: user application, authentication, free trials, Stripe credit-based billing, searchable prediction history, profile and data controls, automated transactional emails, integrated ticket support with diagnostics, replies and attachments, and a separate operator back office for users, credits, predictions, payments, webhook events, contacts, newsletter and support.

Results can be exported automatically as PDF, CSV and JSON. Viral is live in Spanish and English and includes automated code-quality, runtime, type-safety and data-pipeline checks, including dedicated tests for real CSV/XLS/XLSX variants and edge cases.

The product already has an organic search footprint, with indexed pages around Chronos-2, time-series forecasting and sales prediction. The buyer is therefore acquiring a working SaaS with an existing technical and search foundation, not a product that still needs to be built.

Forecasting is supplied through ApisDom's Prediction API, powered by Chronos-2. ApisDom's model infrastructure is not included in the sale; continued API access can be provided under a separate commercial agreement.