A purpose-built data substrate for industrial AI. Schema-first, lakehouse-native, audit-friendly.
Each layer is independently deployable. Drop in just the layers you need.
Open-format lakehouse with strong schema enforcement. ACID writes on top of S3/R2/ADLS — your data never leaves your cloud.
Models your supply network, BOMs, customers, and revenue lines as a graph. Queries answer in milliseconds, not minutes.
Action-taking copilots that observe state in GraphCube and propose interventions. SOC-2-compatible audit trail of every decision.
Notebook + visual workflow editor for analysts. ML Lab ships pre-trained models for predictive maintenance, demand sensing, and pricing.
Most "AI platforms" sit on top of your warehouse and assume someone has already curated the data. That assumption breaks the moment your supply network reconfigures, a vendor merges, or a new ERP module ships. Myelos solves that by treating the semantic layer as the source of truth — every dashboard, every agent, every report reads from the same graph. When the operating model changes, you update the model once and every consumer sees the new shape.
Most teams have a working semantic model inside three weeks. We start with your highest-pain workflow and grow from there.