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Orpheon Platform

AI-Native Data Intelligence & Pipeline Studio

From raw sensor data to production-grade ML forecasts in hours, not months. Visual pipeline orchestration, 7-quantile PatchTST models, and edge-to-cloud deployment — all in one control plane.

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data.processed
39 MB+ live
core.services
7 microservices
model.params
up to 85M
gpu.supported
RTX 4090 → H100
roi.target_yr1
5× – 10×
forecast.type
7-quantile bands
edge.ram_req
< 256 MB
compress.ratio
5:1 Parquet ZSTD
Proof & Deployment

Built for production data work

This page intentionally avoids invented references. Instead, it makes technical assumptions, deployment paths, and evaluation criteria explicit.

Deployment options

Orpheon is prepared for managed cloud, private VPC, and on-prem setups, including edge-to-cloud data flow and container-native delivery.

Methodology over black box

ROI and comparison values are presented as scenarios and should be validated in a demo call against your data volumes, latencies, and process costs.

Security model

Pipeline access, data residency, and model operations can be aligned with existing networks, roles, and audit requirements.

Extend Your Stack

Combine Orpheon with our other products for maximum impact.

See Orpheon on your use case

Book a 30-minute demo on pipeline, forecasting, and deployment

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