From Live Data to Production Forecasts, Automatically
For in-house forecasting teams who want their own models running on live data — pd4castr watches your data sources, runs your models when inputs are ready, and delivers production forecasts your team can use right away.
100%
Reproducible runs
Zero
Custom pipelines
How pd4castr Works
Three integrated stages that eliminate manual orchestration and operational risk
01
Automated Data Ingestion
pd4castr continuously monitors upstream data sources, tracks input readiness, and ensures your models always have complete, current data.
02
Event-Driven Execution
When your data is ready, models execute automatically with secure, credential-free I/O in the cloud. No manual triggers, no scheduled guesswork.
03
Results Delivery
Results are available immediately through APIs and dashboards. Every run is traceable and comparable, ready for your trading, risk, or planning teams.
Why pd4castr
Move faster from research to production — without building the infrastructure in between
Automated Data to Forecast
pd4castr monitors your data sources and tracks input readiness, so forecasts trigger when inputs are truly complete — not when a cron fires and hopes for the best.
Reproducible by Default
Every run captures its exact inputs and outputs — traceable, auditable, and easy to compare across versions and time.
Same Model, Any Environment
Run locally for iteration or in the cloud for production. Same interface, no environment-specific rewrites.
One Platform, Many Models
Support multiple models, scenarios, and delivery paths without building a custom pipeline for each one.
Built for Every Team
pd4castr delivers value across your entire forecasting organization
ML / Data Scientists
Run experiments and sensitivities without building the infrastructure around them
Compare runs reliably and iterate locally
Deploy your model to production without rewriting it
Focus on modeling, not infrastructure
Engineers / Platform Teams
Replace bespoke schedulers and fragile glue code
Reduce operational risk with a consistent, repeatable process
Get traceable run history and clear auditability
Deploy and scale without environment-specific rewrites
Managers / Leadership
Shorten time-to-value for forecasting initiatives
Reduce operational overhead and engineering burden
Get more dependable forecasts with clear auditability
Enable faster scenario planning for commercial decisions
Ready to Transform Your Forecasting Workflow?
Sign up to your first forecast run in minutes — no pipelines to build, no infrastructure to manage.
Platform at a Glance
Everything you need for production forecasting
Event-Driven Execution
Trigger runs as soon as data arrives, not on brittle schedules
Flexible Trigger Rules
Configure each input to wait for fresh data or use the latest available — so triggers match how your data actually arrives
Container-Based Model Runs
Package models cleanly and run them consistently across environments
Secure Model I/O
Models don't need cloud credentials — inputs and outputs are handled securely by the platform
Forecast Traceability
See what ran, when, with what inputs, and whether it completed successfully
Scenario & Sensitivity Runs
Run what-if scenarios and sensitivities alongside your baseline, with comparable results out of the box
Multi-Format Outputs
Ingest JSON, CSV, and Parquet outputs so teams aren't locked into one export style
SDK Integration
Integrate forecasts into trading, risk, revenue, and planning systems
Interactive UI for Results
Visualize forecasts, compare runs, and review key metrics without custom dashboards